phd in business analytics mit

MIT Sloan Master of Business Analytics

77 Massachusetts Avenue Building E52-359 Cambridge MA, 02139

617-258-5434 [email protected]

Website: MIT Sloan Master of Business Analytics

Application Opens: Summer

Deadline: January 4, 2024 at 3:00 PM Eastern Time

Fee: $150.00

Terms of Enrollment

Affiliated departments, standardized tests.

Graduate Record Examination (GRE)

• GRE or GMAT score required
• To share your GRE score, please enter Institution Code 3845

Graduate Management Admissions Test (GMAT)

• GMAT or GRE score required
• To share your GMAT score, please enter Massachusetts Institute of Technology (MIT) – MIT Sloan School of Management

International English Language Testing System (IELTS)

• IELTS or TOEFL is not required
• English language ability is assessed during interviews
• If sharing your score, please enter MIT Graduate Admissions as the school code

Test of English as a Foreign Language (TOEFL)

• TOEFL or IELTS is not required
• If sharing your score, please enter Institution Code 3935
• We will not accept MyBest TOEFL scores

Financial Support

MIT Sloan matriculates the most promising Master of Business Analytics candidates regardless of financial circumstances. Support typically includes personal savings, loans, fellowship/scholarship awards, government or employer sponsorship, or some combination of these. Please see the MBAn website for more details.

Application Requirements

• Online application
• Resume (limited to 1 page)
• Essay (≤500 words)
• Two video questions (≤1 minute each)
• Three letters of recommendation
• Transcripts
• GRE or GMAT scores
• Relevant coursework & professional certifications

Special Instructions

Additional details about the admissions process can be found in the Admissions section of the  Master of Business Analytics website.

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Operations Research Center

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Phd in operations research.

MIT’s doctoral degree (PhD) program in operations research (OR) provides you with thorough understanding of the theory of OR while teaching you to how to develop and apply OR methods in practice.

We offer a general degree track as well as three optional degree tracks in operations management , networked systems , and analytics . All doctoral students must complete the general degree track requirements; those who choose an optional degree track will have additional, specialized requirements to fulfill. 

General Degree Track

In addition to the writing competency requirements, our rigorous curriculum includes challenging coursework, action learning, and innovative research.

You’ll take eight graduate-level classes that have been approved by the ORC co-directors, including at least two courses in optimization, at least three in applied probability and statistics, and at least one in OR modeling.

You’ll put OR theory into practice through valuable, hands-on learning experiences, completing one of the following:

• Option 1: Participate in a summer internship, during which you’ll create OR models that address a real-world problem.
• Option 2: Undertake a project with an ORC faculty member, either as part of a supervised research activity or as an extra part of a regular course offering.
• Option 3: Take part in a class, for which you’ll build and implement OR models that have practical applications.

And, you’ll conduct in-depth research on a topic that complements your academic interests and career goals. You’ll write a thesis based on the independent research you conduct under the guidance of our expert faculty.

Qualifying Process and General Examination

All students enrolled in an ORC doctoral program must complete the Qualifying Process and receive a passing score on the General Examination.

• Students must choose one approved course from the three different categories (Optimization, Probability, and Machine Learning/Statistics). 
• Students must satisfactorily complete these three courses with a minimum of 2 As and 1 B or a combined GPA of 4.6 or higher by the end of their third semester at MIT.
• Students are required to register and take for credit the software tools course 15.S60 offered during IAP (January) led by current ORC students.
• During the student’s first summer at MIT (month of August), doctoral students will engage in a Common Experience project where students will work in teams to address an important problem for an organization.   
• General Examination : Students are required to take the General Examination once they have passed the Qualifying Process.  The General Exam is comprised of a research-oriented (RO) paper and an oral presentation of the RO paper and a discussion on a research paper selected by the General Exam Committee.

Upon completion of our doctoral program, you’ll have the specialized knowledge and technical skills to have a positive impact in a variety of fields, including business, education, and research. Many of our graduates have gone on to careers in academia, in the U.S. and abroad, while others have found success in business and industry as researchers and consultants.

  Analytics Track

In addition to the general PhD degree requirements, you will also:

• complete a summer internship with an organization related to analytics for your hands-on learning experience.
• take two specialized courses in analytics; these classes may count toward your eight required graduate-level classes.
• serve as a teaching assistant in courses related to analytics, or an approved equivalent.
• write a thesis on a topic related to analytics; one member of your thesis committee should be among the ORC faculty who specialize in analytics.

Networked Systems Track

• complete a summer internship with an organization related to networked systems for your hands-on learning experience.
• take two specialized courses in networked systems; these classes may count toward your eight required graduate-level classes.
• serve as a teaching assistant in courses related to networked systems, or an approved equivalent.
• write a thesis on a topic related to networked systems; one member of your thesis committee should be among the ORC faculty who specialize in networked systems.

Operations Management Track

• complete a summer internship with an organization related to operations management for your hands-on learning experience.
• take two specialized courses in operations management; these classes may count toward your eight required graduate-level classes. 
• serve as a teaching assistant in two MBA courses related to operations management or assist in one and take another one for credit. At least one of the classes for which you’re a teaching assistant must include recitation.
• write a thesis on a topic related to operations management; one member of your thesis committee should be among the ORC faculty who specialize in operations management.

For more information about our PhD program, please see our General Exam Syllabus .

For more information about ORC course offerings, please go here .

What is Operations Research?

Operations research (OR) is the discipline of applying advanced analytical methods—such as optimization, statistics, machine learning, and probability — to  make better decisions that impact society and the world positively.

The mission of the PhD program is intimately linked to the mission of the ORC.

Phone:  617-253-3601 Email:   [email protected]

Business Analytics Graduate Programs in America

1-25 of 345 results

MIT Sloan School of Management

Cambridge, MA •

Massachusetts Institute of Technology •

Graduate School

• • Rating 4.9 out of 5   10 reviews

Master's Student: I am an incoming MBA student to MIT Sloan. The application and enrollment process has been incredibly informative. I’ve been able to network with numerous current students and have worked on mapping out my future career post-MBA. I am excited for my 2 years at MIT Sloan! ... Read 10 reviews

Massachusetts Institute of Technology ,

Graduate School ,

CAMBRIDGE, MA ,

10 Niche users give it an average review of 4.9 stars.

Featured Review: Master's Student says I am an incoming MBA student to MIT Sloan. The application and enrollment process has been incredibly informative. I’ve been able to network with numerous current students and have worked on mapping... .

Read 10 reviews.

Fuqua School of Business

Durham, NC •

Duke University •

• • Rating 4.74 out of 5   19 reviews

Master's Student: At Duke Fuqua, you will be surrounded by some of the most brilliant minds from around the world. You will learn skills from top professors that help separate you from the competition when it is time to get a job. Also, the program team does a great job at planning events to create an awesome experience for students which can help to make lifelong friends and connections! ... Read 19 reviews

Duke University ,

DURHAM, NC ,

19 Niche users give it an average review of 4.7 stars.

Featured Review: Master's Student says At Duke Fuqua, you will be surrounded by some of the most brilliant minds from around the world. You will learn skills from top professors that help separate you from the competition when it is time... .

Read 19 reviews.

Wharton School

Philadelphia, PA •

University of Pennsylvania •

• • Rating 4.67 out of 5   15 reviews

Master's Student: Intensive but interesting. Great people, but professor quality varied. Lectures tend to be very interesting, but are high level in some cases. Coming from an engineering background, this felt "easy", but it is a different type of learning- more focused on the concepts than proving theories and underlying complexities. TAs are great and there is a lot of effort put towards making students understand the material. Since there isn't a sink or swim culture, I think it incentivizes learning for the sake of learning rather than curving to a "B". Professors are very friendly and actually enjoy getting to know their students. ... Read 15 reviews

University of Pennsylvania ,

PHILADELPHIA, PA ,

15 Niche users give it an average review of 4.7 stars.

Featured Review: Master's Student says Intensive but interesting. Great people, but professor quality varied. Lectures tend to be very interesting, but are high level in some cases. Coming from an engineering background, this felt "easy",... Professors are very friendly and actually enjoy getting to know their students. .

Read 15 reviews.

Suffolk University

Graduate School •

• • Rating 4.56 out of 5   16

Mississippi College

CLINTON, MS

• • Rating 4.37 out of 5   35

Tiffin University

• • Rating 4.17 out of 5   23

Kellogg School of Management

Evanston, IL •

Northwestern University •

• • Rating 4.83 out of 5   18 reviews

Master's Student: Kellogg's MBA program at Northwestern University stands out for its collaborative environment, rigorous curriculum, and emphasis on experiential learning. With a focus on teamwork and diverse perspectives, students engage in group projects and case competitions to develop essential leadership skills. The curriculum offers customization options through electives and experiential opportunities, including internships and global immersion trips. Kellogg's strong alumni network and industry connections provide valuable career support, ensuring students are well-prepared for success in their chosen fields. Overall, Kellogg offers a dynamic and immersive MBA experience that equips students to excel as future business leaders. ... Read 18 reviews

Northwestern University ,

EVANSTON, IL ,

18 Niche users give it an average review of 4.8 stars.

Featured Review: Master's Student says Kellogg's MBA program at Northwestern University stands out for its collaborative environment, rigorous curriculum, and emphasis on experiential learning. With a focus on teamwork and diverse... .

Read 18 reviews.

Owen Graduate School of Management

Nashville, TN •

Vanderbilt University •

• • Rating 4.4 out of 5   5 reviews

Master's Student: I attend my first semester in the fall of 2024. My experience so far has been amazing. I cannot wait until I start my experience. ... Read 5 reviews

Vanderbilt University ,

NASHVILLE, TN ,

5 Niche users give it an average review of 4.4 stars.

Featured Review: Master's Student says I attend my first semester in the fall of 2024. My experience so far has been amazing. I cannot wait until I start my experience. .

Read 5 reviews.

Olin Business School

St. Louis, MO •

Washington University in St. Louis •

• • Rating 4 out of 5   7 reviews

Master's Student: The enrolment process was an absolute pleasure. Being able to sit in on classes and interact with faculty and students was a fantastic opportunity. It gave me a real feel for the academic dynamic and the supportive community. This firsthand experience greatly influenced my decision, and I'm eagerly looking forward to becoming a part of the institution. ... Read 7 reviews

Washington University in St. Louis ,

ST. LOUIS, MO ,

7 Niche users give it an average review of 4 stars.

Featured Review: Master's Student says The enrolment process was an absolute pleasure. Being able to sit in on classes and interact with faculty and students was a fantastic opportunity. It gave me a real feel for the academic dynamic and... .

Read 7 reviews.

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Mendoza College of Business

Notre Dame, IN •

University of Notre Dame •

Master's Student: The University of Notre Dame is primarily centered around building your network. The professors cover material that is vital for your industry and do so in a quick and efficient manner. You will not find a better place to learn and meet people! I cannot speak highly enough of this school! ... Read 10 reviews

University of Notre Dame ,

NOTRE DAME, IN ,

Featured Review: Master's Student says The University of Notre Dame is primarily centered around building your network. The professors cover material that is vital for your industry and do so in a quick and efficient manner. You will not... .

Marshall School of Business

Los Angeles, CA •

University of Southern California •

• • Rating 4.71 out of 5   17 reviews

Current Master's student: Marshall is a fantastic business program. So far, my academic experience has been nothing short of fantastic. I have never enjoyed school before, but almost every class I have learned new, applicable, and incredibly helpful techniques that I apply in my job every day. Most of the professors are very helpful, and passionate about their subjects. Marshall has clubs for almost every industry, so depending on your industry of interest, Marshall has clubs to prepare you for interviews and get you great exposure, and they're a great way to network as well. If your industry is not represented, you have the opportunity to create one. Marshall is still relatively underrepresented in minority categories like women and people of color, but from my understanding, they are working to improve those numbers. ... Read 17 reviews

University of Southern California ,

LOS ANGELES, CA ,

17 Niche users give it an average review of 4.7 stars.

Featured Review: Current Master's student says Marshall is a fantastic business program. So far, my academic experience has been nothing short of fantastic. I have never enjoyed school before, but almost every class I have learned new,... Marshall has clubs for almost every industry, so depending on your industry of interest, Marshall has clubs to prepare you for interviews and get you great exposure, and they're a great way to... Marshall is still relatively underrepresented in minority categories like women and people of color, but from my understanding, they are working to improve those numbers. .

Read 17 reviews.

Ross School of Business

Ann Arbor, MI •

University of Michigan - Ann Arbor •

• • Rating 5 out of 5   9 reviews

Master's Student: I will be beginning my MBA in January of 2024. The admissions staff are excellent and very supportive. I received my decision very quickly. ... Read 9 reviews

University of Michigan - Ann Arbor ,

ANN ARBOR, MI ,

9 Niche users give it an average review of 5 stars.

Featured Review: Master's Student says I will be beginning my MBA in January of 2024. The admissions staff are excellent and very supportive. I received my decision very quickly. .

Read 9 reviews.

Carey Business School

Baltimore, MD •

Johns Hopkins University •

• • Rating 4.64 out of 5   28 reviews

Master's Student: I start in the Fall of 2024. I agree with the post stating, "You will not get easy A's here," everything in this program is earned and supports the legacy of Johns Hopkins. All of your exams are proctored. I am happy they require me to take the QuB course (Quantitative Basics). This is due to not having a heavy math-filled undergraduate degree. In stats, I believe I had a C. I think within my advisory class of 10 people, three of us were recommended for the Quantitative Basics Course. Basically, if we fail this, we are academically dismissed due to our math skills are not where they need to be, to perform in the program. Some people might be turned away by this, but I am happy they are requiring this. It helps employers see that we earn our education and they ensure we know everything we need to know before we essentially waste everyone's time. Like she said, these are not hand out A's. They are, "EARNED." Top Tier Classmates. ... Read 28 reviews

Johns Hopkins University ,

BALTIMORE, MD ,

28 Niche users give it an average review of 4.6 stars.

Featured Review: Master's Student says I start in the Fall of 2024. I agree with the post stating, "You will not get easy A's here," everything in this program is earned and supports the legacy of Johns Hopkins. All of your exams are... .

Read 28 reviews.

Heinz College of Information Systems and Public Policy

Pittsburgh, PA •

Carnegie Mellon University •

• • Rating 4.64 out of 5   11 reviews

Current Master's student: A competitive class but more inclined with real world experience. Make learning more practicable. The professors are interested to see their student succeed abd very open to guide student in education and career. Professors try to make class very engaging, and organize and encourage student to attend programs that will benefit their knowledge and career ... Read 11 reviews

Blue checkmark.

Carnegie Mellon University ,

PITTSBURGH, PA ,

11 Niche users give it an average review of 4.6 stars.

Featured Review: Current Master's student says A competitive class but more inclined with real world experience. Make learning more practicable. The professors are interested to see their student succeed abd very open to guide student in... .

Read 11 reviews.

Darden School of Business

Charlottesville, VA •

University of Virginia •

• • Rating 4.89 out of 5   9 reviews

Master's Student: Very engaging experience with Darden's case method and learning team discussion; very small class and with an average of 80 students in your section, you will be able to have lots of chances to express your opinion freely; quite a diverse student backgrounds and international student count of almost 40%, where you will be able to truly understand the meaning and beauty of diversity and collaboration! As a women's leadership advocate, I am proud to see that this year's female-candidate ratio is approaching 38%, what an achievement! ... Read 9 reviews

University of Virginia ,

CHARLOTTESVILLE, VA ,

9 Niche users give it an average review of 4.9 stars.

Featured Review: Master's Student says Very engaging experience with Darden's case method and learning team discussion; very small class and with an average of 80 students in your section, you will be able to have lots of chances to... .

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McIntire School of Commerce

• • Rating 5 out of 5   3 reviews

Master's Student: I will be joining the Masters in Management of IT with the McIntire School of Commerce in the Fall, 2023. This will be a great opportunity to learn the alignment between business and technology, and to connect with people with different backgrounds and experiences. ... Read 3 reviews

3 Niche users give it an average review of 5 stars.

Featured Review: Master's Student says I will be joining the Masters in Management of IT with the McIntire School of Commerce in the Fall, 2023. This will be a great opportunity to learn the alignment between business and technology, and... .

Read 3 reviews.

Goizueta Business School

Atlanta, GA •

Emory University •

• • Rating 4.5 out of 5   4 reviews

Current Master's student: Goizueta is an incredibly diverse program where the professors have your bet interest at heart. Like most business schools, social life and networking is very important and they really emphasise this through the numerous networking events. KEGS (Keep Everyone At Goizueta Social) is an example of a weekly social event where all MBA students across all programs (1st years, 2nd years, Evening, One Year etc) come together and mingle. There are multiple opportunities for global modules to study abroad if you choose, a lot of clubs to help you through the recruiting process. The business school is also incredibly diverse with at least 50% of the class being international students. This gives you an opportunity to have interesting perspectives within the class. ... Read 4 reviews

Emory University ,

ATLANTA, GA ,

4 Niche users give it an average review of 4.5 stars.

Featured Review: Current Master's student says Goizueta is an incredibly diverse program where the professors have your bet interest at heart. Like most business schools, social life and networking is very important and they really emphasise this... .

Read 4 reviews.

Scheller College of Business

Georgia Institute of Technology •

• • Rating 5 out of 5   2 reviews

Master's Student: The program has been challenging but very rewarding. The professors have been helpful during office hours and the material is very engaging and relevant to real-world workplace issues. ... Read 2 reviews

Georgia Institute of Technology ,

2 Niche users give it an average review of 5 stars.

Featured Review: Master's Student says The program has been challenging but very rewarding. The professors have been helpful during office hours and the material is very engaging and relevant to real-world workplace issues. .

Read 2 reviews.

Wake Forest University School of Business

Winston-salem, NC •

Wake Forest University •

• • Rating 4.8 out of 5   15 reviews

Master's Student: My academic journey has been an incredibly enriching and transformative experience. The rigor and depth of the coursework in the Master of Science in Management (MSM) program provided me with a comprehensive understanding of business fundamentals while nurturing critical thinking and analytical skills. The engaging lectures and hands-on projects not only expanded my knowledge base but also fostered empathy. The program's emphasis on practical application allowed me to bridge theory with real-world scenarios with our consulting projects. The collaborative environment amongst peers from diverse backgrounds further enriched my learning experience, fostering a culture of teamwork and mutual support. Overall, my academic tenure at Wake Forest has not only equipped me with the necessary skills for professional success but also instilled in me a lifelong commitment to continuous learning and growth. ... Read 15 reviews

Wake Forest University ,

WINSTON-SALEM, NC ,

15 Niche users give it an average review of 4.8 stars.

Featured Review: Master's Student says My academic journey has been an incredibly enriching and transformative experience. The rigor and depth of the coursework in the Master of Science in Management (MSM) program provided me with a... .

McCombs School of Business

Austin, TX •

University of Texas - Austin •

• • Rating 4.69 out of 5   13 reviews

Master's Student: Being in the accounting program at UT Austin has been a remarkable opportunity for me. The best part of being an accounting major at McCombs is the diverse set of classes that students can utilize to explore different interests within business and broaden their career opportunities. The worst part of being at McCombs is the competitive environment, although it incentivizes students to work harder, it can be mentally draining to constantly try to outperform one's peers. ... Read 13 reviews

University of Texas - Austin ,

AUSTIN, TX ,

13 Niche users give it an average review of 4.7 stars.

Featured Review: Master's Student says Being in the accounting program at UT Austin has been a remarkable opportunity for me. The best part of being an accounting major at McCombs is the diverse set of classes that students can utilize to... .

Read 13 reviews.

College of Business - Lehigh University

Bethlehem, PA •

Lehigh University •

Lehigh University ,

BETHLEHEM, PA ,

Mason School of Business - William & Mary

Williamsburg, VA •

William & Mary •

• • Rating 4.76 out of 5   17 reviews

Master's Student: Having received acceptance from the College of William & Mary, and connected with the admissions staff, I'm very excited to be obtaining my degree from the same school where I received my Bachelors in 2015! ... Read 17 reviews

William & Mary ,

WILLIAMSBURG, VA ,

17 Niche users give it an average review of 4.8 stars.

Featured Review: Master's Student says Having received acceptance from the College of William & Mary, and connected with the admissions staff, I'm very excited to be obtaining my degree from the same school where I received my Bachelors... .

Questrom School of Business

Boston, MA •

Boston University •

• • Rating 4.29 out of 5   7 reviews

Master's Student: Boston University's MBA program transformed me. Faculty, experts in their fields, nurtured my learning. A diverse student body broadened my perspective. Experiential learning honed skills and purpose. BU's strong alumni network opened doors. The sense of community is invaluable. BU has equipped me for success and instilled a passion for growth. Grateful for this transformative journey. ... Read 7 reviews

Boston University ,

BOSTON, MA ,

7 Niche users give it an average review of 4.3 stars.

Featured Review: Master's Student says Boston University's MBA program transformed me. Faculty, experts in their fields, nurtured my learning. A diverse student body broadened my perspective. Experiential learning honed skills and... .

Wisconsin School of Business at UW Madison

Madison, WI •

University of Wisconsin •

University of Wisconsin ,

MADISON, WI ,

Gies College of Business

Champaign, IL •

University of Illinois Urbana-Champaign •

• • Rating 4.94 out of 5   17 reviews

Master's Student: The GIES experience has been superb. There are Zoom live sessions every week that you can attend or watch the videos for. There are multiple Zoom office hour opportunities weekly where you can ask direct questions about assignments, exams, or your own business. The professors are engaged, the curricula rigorous, and it's AACSB accredited. ... Read 17 reviews

University of Illinois Urbana-Champaign ,

CHAMPAIGN, IL ,

17 Niche users give it an average review of 4.9 stars.

Featured Review: Master's Student says The GIES experience has been superb. There are Zoom live sessions every week that you can attend or watch the videos for. There are multiple Zoom office hour opportunities weekly where you can ask... .

Terry College of Business

Athens, GA •

University of Georgia •

Master's Student: All of the professors are fantastic! They truly want us to succeed, and will work with you until you get it. I also appreciate their efforts to get to know each student. ... Read 3 reviews

University of Georgia ,

ATHENS, GA ,

Featured Review: Master's Student says All of the professors are fantastic! They truly want us to succeed, and will work with you until you get it. I also appreciate their efforts to get to know each student. .

Lally School of Management

Rensselaer Polytechnic Institute •

Rensselaer Polytechnic Institute ,

Rensselaer at Hartford

Lehigh University

BETHLEHEM, PA

• • Rating 4.45 out of 5   20

A. B. Freeman School of Business

Tulane University •

NEW ORLEANS, LA

Satish & Yasmin Gupta College of Business

University of Dallas •

• • Rating 5 out of 5   5

Showing results 1 through 25 of 345

Master of Business Analytics

Do you enjoy creatively solving complex problems? Do you use data and facts to make important decisions? Are you a whiz at computer science and math? If so, you should consider a career as a business analyst.

Business analysts analyze, collect, and visualize data to understand trends and help organizations make informed decisions. For instance, business analysts use data to design new information technology systems and plan future budgets. They work in businesses in all industries, government agencies, and nonprofit organizations.

Some business analysts obtain entry-level jobs after completing a bachelor's degree in a relevant field, such as business administration or human resources. However, a master of business analytics can open the door for more lucrative senior analyst and consulting positions.

What Is a Master of Science in Business Analytics?

A Master of Science in Business Analytics (MSBA) teaches students to interpret large quantities of data and translate these findings into recommendations for businesses. Programs combine advanced coursework with hands-on learning and industry engagement. As a result, students develop practical skills, gain theoretical expertise, and network with business leaders.

Business analytics is an interdisciplinary field that requires knowledge of a broad range of topics. This can make an MSBA more challenging than other business degrees because you will need to master many different subjects. Expect to take courses in areas like computer science, consumer behavior, and risk management.

Typically, an MSBA takes one to two years to complete. Many programs offer full-time or part-time options, giving students the flexibility to proceed at their own pace.

What Careers Can You Pursue With a Master of Science in Business Analytics?

An MSBA will allow you to pursue many exciting career paths, such as:

• Data Analyst
• Data Architect
• Digital Strategy Consultant
• Market Research Analyst
• Project Manager
• Statistician

Selecting a Graduate Program in Business Analytics

Business analytics is still a relatively new field, but many grad schools now offer MSBA degrees. When choosing between grad programs, there are a few factors to keep in mind to make sure you find the perfect fit:

• Are classes in person or online?
• Can you specialize in your preferred area of interest, such as accounting or supply chain management?
• Does the program include hands-on learning opportunities?
• How long will the program take to complete?
• How many admitted students graduate from the program?
• What is the cost of tuition?
• What is the program’s ranking?
• What types of jobs do graduates obtain?

At Niche, we can help you search for a great program .

Applying to Graduate Programs in Business Analytics

After you have located suitable MSBA programs, you will need to apply. Typically, graduate programs in business analytics require the following application materials :

• Application form
• College transcripts showing that you have earned a 3.0 GPA or higher
• GMAT or GRE scores
• Letters of recommendation
• Nonrefundable application fee

Some programs will require you to demonstrate that you have computer programming skills. Additionally, you may need to complete an interview.

By pursuing a Master of Business Analytics, you will set yourself up to excel in senior business positions in a variety of industries. This hot new field will continue to grow in the coming years, so an MSBA is a smart investment for business-savvy people with excellent mathematical and problem-solving skills.

Pathways to a Graduate Program

The MicroMasters Program in Statistics and Data Science credential enables learners to receive academic credit to universities around the world, making the credential a pathway to a master’s degree. The amount of credit, and the conditions for receiving it, depends upon each institution which are all listed below.

Contact MIT and other universities directly to learn more about these programs

Mit: phd program in social & engineering systems.

Learners who successfully complete this MicroMasters Program Credential have the opportunity to apply to the MIT Doctoral Program in Social and Engineering Systems (SES) offered through the MIT Institute for Data, Systems, and Society (IDSS) during the SES admissions cycle (due date: December 15). Learners can use their MicroMasters program credential to demonstrate their preparation in statistics and data science fundamentals to the SES Admissions Committee.

Learners admitted to SES can expect that their MicroMasters program coursework will be recognized with credit for corresponding SES core classes and requirements. More information on the MIT SES Doctoral Program can be found here .

In addition, learners who successfully earn the MicroMasters program credential in Statistics and Data Science are now eligible to earn credit at a number of universities across the globe to fast track their pursuit of a full Master’s degree. Below is a list of these universities and information on the amount of credit offered.

Other Universities

Algebra University College (Croatia) – Master’s Degree in Applied Computer Engineering with Specialization in Data Science

Algebra University College will offer the credential holders of the MicroMasters program in Statistics and Data Science the possibility of earning 30 ETCS credits of the total ECTS credits towards the completion of the Master’s degree in Applied Computer Engineering with specialization in Data Science.

View the past webinar on-demand here

American University of Central Asia (Kyrgyz Republic) – Master’s of Science in Economics

The American University of Central Asia will offer the credential holders of the MicroMasters program in Statistics and Data Science the possibility of earning 24 credits of the total graduate credits towards the completion of the MSc. in Economics.

Bethel University (St. Paul, MN, USA) – Master of Business Administration (MBA)

Bethel University will offer those who have earned the MicroMasters program credential in Statistics and Data Science 12 credits toward the total credits in the Master of Business Administration (MBA) program if they are accepted for admission. Your MicroMasters credential is valid for five years upon your application to Bethel.

If you would like to apply to Bethel before the completion of the MicroMasters program, Bethel will still consider your application.

View the past webinar on-demand here .

Covenant University (Nigeria) – Master of Computer Science

Covenant University will offer the credential holders of the MicroMasters program in Statistics and Data Science the possibility of earning 3 credits towards the completion of the master’s degree in Computer Science. Your MicroMasters credential is valid for five years upon your application to Covenant.

Curtin University (Australia) – Master of Predictive Analytics (Finance and Investment Analytics stream)

Curtin Business School provides a pathway for credential holders of the MicroMasters program in Statistics and Data Science to their Master of Predictive Analytics (Finance and Investment Analytics stream). If a learner applies for admission to the Master of Predictive Analytics (Finance and Investment Analytics stream) at Curtin University and is accepted, the MicroMasters program credential will count towards 25% of the coursework required for graduation.

Deakin University (Australia)

Deakin offers the MicroMasters program credential holders in SDS up to four units’ credit towards the completion of these Master’s degree programs:

• Master of Business Analytics (Online)
• Master of Health Economics (Online)
• Master of Information Systems (Online)
• Master of Public Health (Online)
• Master of Data Science (On-campus / Online)
• Master of Cyber Security Professional (Online)
• Master of Nutrition and Population Health (On-campus)

In addition, a third of the credits will be offered towards the online Master of Information Technology. For the MicroMasters program credential holders who also hold a bachelor’s degree in the same or a related field, Deakin offers two units’ credit towards the completion of the online Master of Human Nutrition. For graduates who do not hold a bachelor’s degree in the same or a related field, the MicroMasters program in Statistics and Data Science will be an entry pathway to the Master of Human Nutrition. (Normally applicants without a bachelor’s degree in the same or a related field are required to complete a Graduate Certificate of Human Nutrition as the entry criterion.)

Doane University (USA) – Master’s Degree in Business Administration (MBA)

Upon acceptance into Doane's MBA program, the MicroMasters program in Statistics and Data Science will satisfy the emphasis area and the student will only need to take 21 credit hours to complete their Master of Business Administration degree.

Duquesne University (USA)

Duquesne University will offer the credential holders of the MicroMasters program in Statistics and Data Science the possibility of earning:

• 3 out of the total credit requirement towards the completion of the MS in Supply Chain Management.
• 4.5 out of the total credit requirement towards the completion of the Professional MBA (PMBA) program.
• 6 out of the total credit requirement towards the completion of the MS in Analytics & Information Management (MS-AIM) program.

Universidad EAN (Colombia) – Master's in Business Intelligence (Online)

Universidad EAN will offer the credential holders of the MicroMasters program in Statistics and Data Science the possibility of earning 15 credits of the total graduate credits towards the completion of the Master's in Business Intelligence (Online).

In addition, all the rest of the master’s degree programs at EAN will grant at least 9 credits out of the total graduate credits to the SDS MicroMasters program credential holders.

Eurasian Management and Administration School (Russia)

Eurasian Management and Administration School (EMAS Business School) will offer the credential holders of the MITx MicroMasters program in Statistics and Data Science the possibility of earning:

• 20 credits (ECTS) of the total graduate credits towards the completion of the Master of Business Administration (MBA): Business in the Digital Era program
• 20 credits (ECTS) of the total graduate credits towards the completion of the Executive Master of Business Administration (MBA): Business in the Digital Era program
• 20 credits (ECTS) of the total graduate credits towards the completion of the Doctor of Business Administration (DBA): Business in the Digital Era program

Galileo University (Guatemala) – Master’s Program in Data Science

Galileo University will offer the credential holders of the MicroMasters program in Statistics and Data Science the possibility of earning an equivalent of one year of the total graduate credits towards the completion of the Master’s degree in Data Science. Your MicroMasters credential is valid for two years upon your application to Galileo.

Harvard Extension School (USA) – Master of Liberal Arts (ALM) in Extension Studies

Harvard Extension School (HES) offers the credential holders of the MicroMasters program in Statistics and Data Science the possibility of earning 16 of the total graduate credits towards the ALM in the field of finance or 12 out of the total graduate credits towards the ALM in the field of data science . Your MicroMasters credential is valid for three years upon your application to HES.

HES Admissions Information Session for MITx MicroMasters Learners: https://projects.iq.harvard.edu/mitxadmissioninfosession

Holy Spirit University of Kaslik (Lebanon)

The Holy Spirit University of Kaslik (USEK) will offer the credential holders of the MITx MicroMasters program in Statistics and Data Science the possibility of earning:

• 6 credits towards the completion of the Master’s program in Business Administration (Emphasis: Audit, Finance, Marketing)
• 9 credits towards the completion of these three Master’s programs in Computer Science , Mathematics , and Actuarial and Financial Mathematics .
• 14 credits towards the completion of the Master’s program in Computer Engineering

Johannesburg Business School (South Africa) – Master of Business Administration (MBA)

Johannesburg Business School (JBS) of the University of Johannesburg will offer the credential holders of the MicroMasters program in Statistics and Data Science the possibility of earning up to 30 credits out of the total credits requirement towards the completion of MBA.

Kangwon National University (South Korea) – Master’s Degree in Business Administration

Kangwon National University (KNU) will offer the credential holders of the MITx MicroMasters program in Statistics and Data Science the possibility of earning 12 of the total graduate credits towards the completion of the Master’s Degree in Business Administration.

Laweh Open University College (Ghana) – MBA Finance and Accounting program

Laweh Open University will offer the credential holders of the MITx MicroMasters program in Statistics and Data Science the possibility of earning 40 credits out of the total credits towards the completion of the MBA Finance and Accounting program.

Massachusetts College of Pharmacy and Health Sciences (USA) – Master of Business Administration in Healthcare Management

MCPHS will award credential holders of the MITx MicroMasters program in Statistics and Data Science 12 credits towards the completion of the MBA in Healthcare Management, a program designed for working professionals that can be completed entirely online at your pace. Credential holders will complete 30 additional credits to earn the MBA.

New Economic School (Russia) – Masters in Finance

New Economic School (NES) will offer the credential holders of the MITx MicroMasters program in Statistics and Data Science the possibility of earning 2 credits of the total graduate credits towards the completion of the NES Masters in Finance program.

Northwestern University (USA) – Master’s Degree in Data Science

Learners who successfully earn the MITx MicroMasters program credential in Statistics and Data Science are now eligible to fast track their pursuit of the Master’s program in Data Science offered by Northwestern University School of Professional Studies (SPS). MicroMasters program credential holders are eligible to apply for the Master’s program in Data Science at SPS. Students in the Master’s in Data Science for MIT MicroMaster's Graduates program can earn their degrees by completing nine courses, compared to the 12-course curriculum of the standard Master’s program in Data Science. Those admitted into this program will not be required to take the following courses:

• MSDS 400-DL Math for Data Scientists
• MSDS 401-DL Applied Statistics with R
• MSDS 422-DL Practical Machine Learning

Porto Business School (Portugal)

Porto Business School will offer the credential holders of the MITx MicroMasters program in Statistics and Data Science the possibility of earning:

• 12 ECTS credits out of the total credits requirement towards the completion of the Digital MBA program
• 12 ECTS credits out of the total credits requirement towards the completion of the Executive MBA program
• 12 ETCS credits out of the total credits requirement towards the completion of the International MBA program .

Queen’s University (Smith School of Business) (Canada)

Queen’s University’s Smith School of Business will offer credential holders of the MicroMasters program in Statistics and Data Science the possibility of earning:

• two advanced course credits and financial credit towards the completion of the Master of Management Analytics (MMA) or Master of Management in Artificial Intelligence (MMAI) programs.

Reykjavík University (Iceland)

Reykjavík University School of Computer Science offers the credential holders of the MicroMasters program in Statistics and Data Science the possibility of earning 30 ECTS credits of the total graduate credits towards the completion of the following Master's programs:

• Master's in Computer Science
• Master's in Data Science
• Master's in Applied Data Science

Reykjavík University School of Business offers the credential holders of the MicroMasters program in Statistics and Data Science the possibility of earning 26 ECTS credits of the total graduate credits towards the completion of the following Master’s programs:

• Master of Business Management
• Master of Science (MSc) in Business Management
• Master of Information Management
• Master of Science (MSc) in Information Management

RTU Riga Business School (Latvia) – MBA Program

Riga Business School at Riga Technical University will offer the credential holders from the MITx MicroMasters program in Statistics and Data Science 24 ECTS towards the completion of the MBA program.

Rochester Institute of Technology (USA) – Master of Science in Professional Studies

The Master of Science in Professional Studies allows learners the opportunity to draw on courses offered across RIT graduate programs. Learners who hold the MicroMasters program credential in Statistics and Data Science may apply any time during the year and upon acceptance, will be awarded 12 credit hours of the required total for the degree.

Royal Roads University (Canada) – Masters of Business Administration in Executive Management

The School of Business at Royal Roads University (RRU) will offer credential holders of the MITx MicroMasters program in Statistics and Data Science the possibility of earning nine of the total graduate credits towards the completion of a Masters of Business Administration in Executive Management .

Your MicroMasters credential is valid for five years upon your application to RRU. If you would like to apply to RRU before the completion of the MicroMasters program, RRU will still consider your application. Please contact http://www.royalroads.ca/contact/Admissions-and-Enrolment for questions.

Watch the Royal Roads University (and Universidad Galileo) webinar

Sasin School of Management - Chulalongkorn University (Thailand) – Master of Business Administration

Sasin School of Management will offer the credential holders of the MicroMasters program in Statistics and Data Science the possibility of earning 6 credits of the total graduate credits towards the completion of the Sasin MBA.

Southern New Hampshire University (USA) – Master's in Data Analytics Online

Southern New Hampshire University (SNHU) will offer the credential holders of the MicroMasters program in Statistics and Data Science the possibility of earning 12 credits of the total graduate credits towards the completion of the Master's in Data Analytics Online program.

Tsinghua University (China) - Master of Science in Engineering (Data Science and Information Technology)

Tsinghua University will grant up to 6 academic credits to the credential holders of this MicroMasters program in Statistics and Data Science. More details about the Tsinghua master's program will be forthcoming.

Universidad Tecnologica (Uruguay) – Program in Data Science

Universidad Tecnologica (UTEC Uruguay) will offer the credential holders of the MIT MicroMasters program in Statistics and Data Science the possibility of earning 55 credits towards the completion of the master’s degree in Data Science.

University of San Francisco (USA)

The University of San Francisco (USF) will offer the credential holders of the MicroMasters program in Statistics and Data Science the possibility of earning up to 8 credits towards the completion of the Master of Science in Applied Economics or the Master of Science in International and Development Economics .

The School of Business, Woxsen University (India)

The School of Business, Woxsen University will offer the credential holders from the MITx MicroMasters program in Statistics and Data Science 18 credits towards the completion of the MBA (BA.AI.ML) and MBA in Financial Services program, respectively.

If your university would like to work with us to bring the MITx MicroMasters program credential holders to your master’s program, please contact [email protected] . You can learn more about how you can join MIT’s efforts to reimagine higher education by offering credit for the MITx MicroMasters program credential.

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Applied Business Analytics

Deliver better business outcomes using big data

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June 4, 2024

6 weeks, online 4-6 hours per week

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Participants report that enrolling in a program with colleagues fosters collaborative learning and amplifies their impact.

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Emeritus is collaborating with MIT Sloan Executive Education to help you build future-ready skills. Enroll before and get up to 4% tuition assistance along with a  complimentary  1-year Wall Street Journal subscription.

Application Details

Tuition assistance is live as per below schedule. The full program fee is US$2950 as of the start date.

program fee

Garner in-demand skills.

In this six-week program, you will be able to:

• Apply analytics to a wide range of business applications.
• Select and apply the appropriate algorithm for a given business scenario.
• Lead teams and design deliverables using analytics problem-solving.
• Establish workflows, identify interdependencies, and utilize human judgment while managing the analytics process.

Why Study Business Analytics?

MIT Sloan Executive Education's Applied Business Analytics online program is designed to bridge the gap between the needs of working professionals and the accessibility of analytical models and tools. Take this opportunity to use data to improve decision-making.

US$130.95 billion

The business analytics market size is expected to reach US$130.95 billion in the next five years, registering a CAGR of 8.07 percent during the forecast period.

SOURCE: MORDOR INTELLIGENCE

of businesses cite the need to manage unstructured data as a problem for their business.

SOURCE: Forbes

Highly data-driven organizations are three times more likely to report significant improvements in decision making compared to those who rely less on data.

SOURCE: PwC

Who should attend.

This online program is ideal for managers and leaders who want to turn data into a competitive advantage by advancing their analytics skills. Participants will learn how to decide which is the best tool for their challenge, and how to apply different models. Participants come from a broad range of industries, job functions, and management levels. Past participants of this program include:

• Senior executives who strive to leverage data for competitive advantage and build out analytics capabilities in their organizations.
• Functional managers and business heads who want to advance their analytics skills and manage data analyst teams more effectively by asking better questions.
• Data and Business Analysts who want to deepen their understanding of how to apply analytics tools to common business challenges, such as predicting customer preferences and trends.
• Consultants who need to dig deeper into their client's data in order to make better recommendations and speak the same language as data analysts.

Your Learning Experience

Apply descriptive, predictive, and prescriptive tools to real-world case studies and examples.

Download a template for your team's business analytics project plan.

Learn from world-renowned MIT faculty.

Discuss learnings and industry trends with a cohort of peers at the top of their fields.

Bit-Sized Learning

Active support from program Learning Facilitators.

Weekly Q&A through live office hours with Learning Facilitators, and experts in this subject matter.

Program Modules

Learn how to predict customer preferences through data grouping. Discover the principles for driving improved customer satisfaction and retention using Netflix’s movie recommendation engine.

Analyze how the Oakland A's use data analytics to outperform talent scouts in player selection and delve into the Framingham Heart Study's role in improving public health through predictive analytics for heart disease risk assessment.

Explore real estate tech strategies using the historic Boston data set and analytics tools that help predict Supreme Court decisions, highlighting their potential to outperform experts.

Explore healthcare system’s high-risk patient identification and intervention strategies for improved outcomes. Additionally, delve into natural language processing to classify tweets for enhanced understanding of Apple's customer sentiment.

Explore deep learning for number recognition within the Data-Models-Decisions-Value framework. Enhance operational efficiency using machine learning and decision tools in inventory management.

Analyze data to assist the CFO of a fictitious organization in transitioning to a high-tech focus while maximizing net present value. Examine an airline’s fleet insurance policy optimization through simulations.

Learn from the Best at MIT Sloan

Dimitris Bertsimas

Boeing leaders for global operations professor of management, professor of operations research, associate dean for the master of business analytics.

Dimitris Bertsimas Boeing Leaders for Global Operations Professor of Management, Professor of Operations Research, Associate Dean for the Master of Business Analytics A faculty member since 1988, his research interests include optimization, stochastic systems, machine learning, and their application. In recent years, he has worked in robust optimization, statistics, healthcare, transportation, and finance. Bertsimas was a cofounder of Dynamic Ideas, LLC, which developed portfolio management tools for asset management. In 2002, the assets of Dynamic Ideas were sold to American Express. He is also the founder of Dynamic Ideas Press, a publisher of scientific books, the cofounder of Benefits Science, a company that designs health care plans for companies, of Dynamic Ideas Financial, a company that provides financial advice to customers, of Alpha Dynamics, an asset management company, P2 Analytics, an analytics consulting company and of MyA Health, a personalized health care advice company. Bertsimas has coauthored more than 200 scientific papers and books, including The Analytics Edge (with A. O'Hair and W. Pulleyblank, Dynamic Ideas, 2016). He is former department editor of Optimization for Management Science and of Operations Research in Financial Engineering. A member of the National Academy of Engineering and an INFORMS fellow, he has received numerous research awards, including the Harold Larnder Prize (2016). He has also received recognition for his educational contributions: The Jamieson prize (2013) and the Samuel M. Seegal prize (1999). Bertsimas holds a BS in electrical engineering and computer science from the National Technical University of Athens, Greece, as well as an MS in operations research and a PhD in applied mathematics and operations research from MIT.

Hear from our past learners

I loved that the program focused on how the models applied to leadership decisions. It allows the leader to sit in a meeting and process every word the data scientist might say. I also really enjoyed the virtual meetings as they helped further my understanding of key topics.

This course offered me a window into the world of applied business analytics, which prior to this course, I had very little experience with. I’m very pleased to have taken it as the content and instructors made the topics approachable and allowed me to wrap my head around data in the business world. Specifically, I took away lessons on where to push back on the data, how to question it, and what different kinds of analysis are common practice. It touched on many subjects but didn’t get so far into the weeds that I couldn’t keep up. That said, the content is there if you do want to dig deep as many of my cohorts were well versed in data compared to myself. I would recommend this course to anyone looking to expand their knowledge on the subject, regardless of prior experience.

Case Studies

How data analytics built a movies-you'll-love feature

Mining Tweets to understand customer sentiment at Apple

Framingham Heart Study

How to save lives by predicting heart disease

Boston Real Estate

Leverage a historic Boston real estate data set to predict values

Corporate Strategy

Use an optimization model to maximize net present value and steer the corporate strategy

Inventory Management

Machine learning techniques work to improve operational performance

Earn a Certificate from MIT Sloan

Receive a verified digital certificate of completion from MIT Sloan School of Management. This program also counts toward an MIT Sloan Executive Certificate .

After successful completion of the program, your verified digital certificate will be emailed to you, at no additional cost, in the name you used when registering for the program. All certificate images are for illustrative purposes only and may be subject to change at the discretion of MIT Sloan.

How do I know if this program is right for me?

After reviewing the information on the program landing page, we recommend you submit the short form above to gain access to the program brochure, which includes more in-depth information. If you still have questions on whether this program is a good fit for you, please email [email protected], and a dedicated program advisor will follow-up with you very shortly.

Are there any prerequisites for this program?

Some programs do have prerequisites, particularly the more technical ones. This information will be noted on the program landing page, as well as in the program brochure. If you are uncertain about program prerequisites and your capabilities, please email us at the ID mentioned above.

Note that, unless otherwise stated on the program web page, all programs are taught in English and proficiency in English is required.

What is the typical class profile?

More than 50 percent of our participants are from outside the United States. Class profiles vary from one cohort to the next, but, generally, our online certificates draw a highly diverse audience in terms of professional experience, industry, and geography — leading to a very rich peer learning and networking experience.

What other dates will this program be offered in the future?

Check back to this program web page or email us to inquire if future program dates or the timeline for future offerings have been confirmed yet.

How much time is required each week?

Each program includes an estimated learner effort per week. This is referenced at the top of the program landing page under the Duration section, as well as in the program brochure, which you can obtain by submitting the short form at the top of this web page.

How will my time be spent?

We have designed this program to fit into your current working life as efficiently as possible. Time will be spent among a variety of activities including:

• Engaging with recorded video lectures from faculty
• Attending webinars and office hours, as per the specific program schedule
• Reading or engaging with examples of core topics
• Completing knowledge checks/quizzes and required activities
• Engaging in moderated discussion groups with your peers
• Completing your final project, if required

The program is designed to be highly interactive while also allowing time for self-reflection and to demonstrate an understanding of the core topics through various active learning exercises. Please email us if you need further clarification on program activities.

What is it like to learn online with the learning collaborator, Emeritus?

More than 300,000 learners across 200 countries have chosen to advance their skills with Emeritus and its educational learning partners. In fact, 90 percent of the respondents of a recent survey across all our programs said that their learning outcomes were met or exceeded. All the contents of the course would be made available to students at the commencement of the course. However, to ensure the program delivers the desired learning outcomes the students may appoint Emeritus to manage the delivery of the program in a cohort-based manner the cost of which is already included in the overall course fee of the course. A dedicated program support team is available 24/5 (Monday to Friday) to answer questions about the learning platform, technical issues, or anything else that may affect your learning experience.

How do I interact with other program participants?

Peer learning adds substantially to the overall learning experience and is an important part of the program. You can connect and communicate with other participants through our learning platform.

What are the requirements to earn the certificate?

Each program includes an estimated learner effort per week, so you can gauge what will be required before you enroll. This is referenced at the top of the program landing page under the Duration section, as well as in the program brochure, which you can obtain by submitting the short form at the top of this web page. All programs are designed to fit into your working life. This program is scored as a pass or no-pass; participants must complete the required activities to pass and obtain the certificate of completion. Some programs include a final project submission or other assignments to obtain passing status. This information will be noted in the program brochure. Please email us if you need further clarification on any specific program requirements.

What type of certificate will I receive?

Upon successful completion of the program, you will receive a smart digital certificate. The smart digital certificate can be shared with friends, family, schools, or potential employers. You can use it on your cover letter, resume, and/or display it on your LinkedIn profile. The digital certificate will be sent approximately two weeks after the program, once grading is complete.

Can I get the hard copy of the certificate?

No, only verified digital certificates will be issued upon successful completion. This allows you to share your credentials on social platforms such as LinkedIn, Facebook, and Twitter.

Do I receive alumni status after completing this program?

No, there is no alumni status granted for this program. In some cases, there are credits that count toward a higher level of certification. This information will be clearly noted in the program brochure.

How long will I have access to the learning materials?

You will have access to the online learning platform and all the videos and program materials for 12 months following the program start date . Access to the learning platform is restricted to registered participants per the terms of agreement.

What equipment or technical requirements are there for this program?

Participants will need the latest version of their preferred browser to access the learning platform. In addition, Microsoft Office and a PDF viewer are required to access documents, spreadsheets, presentations, PDF files, and transcripts.

Do I need to be online to access the program content?

Yes, the learning platform is accessed via the internet, and video content is not available for download. However, you can download files of video transcripts, assignment templates, readings, etc. For maximum flexibility, you can access program content from a desktop, laptop, tablet, or mobile device. Video lectures must be streamed via the internet, and any livestream webinars and office hours will require an internet connection. However, these sessions are always recorded, so you may view them later.

Can I still register if the registration deadline has passed?

Yes, you can register up until seven days past the published start date of the program without missing any of the core program material or learnings.

What is the program fee, and what forms of payment do you accept?

The program fee is noted at the top of this program web page and usually referenced in the program brochure as well.

• Flexible payment options are available (see details below as well as at the top of this program web page next to FEE ).
• Tuition assistance is available for participants who qualify. Please email [email protected].

What if I don’t have a credit card? Is there another method of payment accepted?

Yes, you can do the bank remittance in the program currency via wire transfer or debit card. Please contact your program advisor, or email us for details.

I was not able to use the discount code provided. Can you help?

Yes! Please email us with the details of the program you are interested in, and we will assist you.

How can I obtain an invoice for payment?

Please email us your invoicing requirements and the specific program you’re interested in enrolling in.

Is there an option to make flexible payments for this program?

Yes, the flexible payment option allows a participant to pay the program fee in installments. This option is made available on the payment page and should be selected before submitting the payment.

How can I obtain a W9 form?

Please connect with us via email for assistance.

Who will be collecting the payment for the program?

Emeritus collects all program payments, provides learner enrollment and program support, and manages learning platform services.

What is the program refund and deferral policy?

For the program refund and deferral policy, please click the link here .

Didn't find what you were looking for? Write to us at [email protected] or Schedule a call with one of our Academic Advisors or call us at +44 150 730 4811 (UK) / +1 401 264 8575 (US) / +65 3138 5193 (SG)

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Mit master of business analytics review | application, curriculum & careers.

The hands-on Capstone Project is one of the highlights of the MIT Master of Business Analytics ©MIT-Sloan-Facebook

Find out all you need to know about the MIT Master of Business Analytics program (MBAn), including MIT MBAn class profile, application requirements, and graduate jobs

Tue Aug 23 2022

The MIT Master of Business Analytics (MBAn), offered by MIT Sloan School of Management, is one such program. The MBAn is a STEM-designated program focused on the application of the tools of modern data science, optimization, and machine learning to solve real-world business problems.

Here, we break down everything you need to know about the MIT MBAn, from what you can expect from your class and curriculum to your post-degree jobs prospects.

MIT Master of Business Analytics | Key Info

Mit mban | overview & class profile.

The MIT MBAn is a 12-month program aimed at giving students the skills and knowledge necessary to apply data science to the business world. 

Sitting at the crossroads of business and science, the MBAn taps into MIT’s global reputation for science and technology. The MBAn was established in conjunction with MIT’s Operation Research Center, a leading interdisciplinary research institute.

In a class of 66, students largely come from science, technology, engineering, and mathematics (STEM) backgrounds. In the class of 2022, 87% of students had STEM backgrounds. 

The majority (35%) had math and science bachelor’s degrees. A further 24% came from engineering backgrounds, 18% were economics undergrads while 12% studied computer science before enrolling. 

Students had on average 17 months of work experience before entering the program. 

The class is 39% female, and 59% international, with 24 countries represented. 

MIT MBAn | Curriculum

As with most business masters degrees, the MBAn is divided into core courses and electives.

All students must sit eight core courses, which include machine learning, optimization methods, analytics edge, analytics software tools (such as R, Python, SQL, and Julia), and communicating with data.

Electives allow students to take a deeper dive into subjects of their choice. Students must choose between three and six electives, with courses including advanced topics in artificial intelligence, statistical learning theory, entrepreneurship lab, analytics of finance, crypto finance, and machine learning in healthcare. 

Alongside classroom-based learning, students take part in an Analytics Capstone Project. Here, student teams work on data science problems with real companies over the course of seven months, with the support of faculty mentors. 

Companies involved in the Capstone Project in the past have included consumer goods companies like Annheuser-Busch and Unilever, automobile giants like BMW and General Motors, and pharmaceutical companies like Pfizer. The project is capped off with a full-time summer internship at their allocated company at the end of the program. 

The Capstone Project has more than just academic benefit. Companies offset $22,000 from each student’s tuition. 

READ:  10 Best Masters In Business Analytics

© MIT Sloan via Facebook

MIT MBAn Application & Cost

Total tuition costs and fees for the MBAn add up to $86,000. Subtracting the $22k contribution from Capstone companies, students pay $60,368. In addition, MIT Sloan estimates total personal and living expenses to add up to $50,965, bringing the total cost to around $137,265. 

On top of ordinary student loans, MIT also has a number of ways to support students with tuition. Several fellowships are awarded to students with outstanding academic backgrounds, personal achievements, and professional promise. 

MBAn students can also take part in assistantships, supporting faculty in research projects and academic activity. As well as helping students cover expenses, this offers great exposure to MIT’s research programs.  

To apply for the MBAn, candidates must submit a one-page resume, three letters of recommendation (two from academic sources and one from an employer), academic transcripts, GMAT or GRE test scores, plus a $150 application fee. 

Candidates must submit a 500-word essay answering the question:

'Please tell us why you’re pursuing the Master of Business Analytics degree at MIT Sloan. What do you hope to gain from the program? What are your career aspirations?'

Candidate also need to submit two one-minute videos on the following:

Video Question 1: Introduce yourself to your future classmates,  here's your chance to put a face with a name, let your personality shine through, be conversational, be yourself. We can't wait to meet you! 

Video Question 2: A brief video statement in response to a simple, open-ended general interest question. The question is designed to help us get to know you better; to see how you express yourself and to assess fit with the MIT Sloan culture.

Shortlisted candidates will be invited to interview, which assesses you both technically and behaviourally. Prior to the interview, candidates have to submit a recent data science or analytics paper they have worked on, with three presentation slides to represent the work. 

MIT MBAn | Career opportunities

In the class of 2021, 100% of job-seeking graduates accepted a job offer within six months, with an average base salary of $127,750. 

Technology was the most popular industry, with tech companies hiring 41% of graduates, followed by consulting (30%) and finance (11%). Pharmaceuticals & healthcare, and retail and consumer goods each hired a further 5% of the class.

Top employers include big tech firms like Amazon, Meta, and TikTok (Bytedance), consulting firms McKinsey & Co. and Boston Consulting Group, and pharmaceutical giants including Sanofi and Pfizer. 

For those looking to stay and work in the US, the MBAn has particular advantages. The MBAn is a STEM-designated program , meaning international graduates are granted a two-year extension to their one-year optional practical training (OPT) allowing them to stay in the US to work without an H-1B work visa. 

98% of MIT MBAn students seeking roles landed roles based in the US. 

Given MIT’s reputation for science and technology, as well as Sloan’s status as a high-ranking business school, employers are sure to favor MIT MBAn graduates.

While the program is costly for a one-year master’s, the tuition contribution by Capstone companies, as well as the work experience the project provides, ensures both a significant subsidy and strong return on investment. 

The MBAn’s STEM-designation is also a huge asset for international students looking for work in the US. Companies are often put off hiring students who can only stay one year after graduation, so a three year OPT extension is a bonus.

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Masters In Business Analytics Salary: What Can You Expect To Earn? 

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Bachelor of Science in Management (Course 15-1)

Bachelor of science in business analytics (course 15-2), bachelor of science in finance (course 15-3), minor in management, minor in business analytics, minor in finance, undergraduate study.

The Bachelor of Science in Management provides students with an innovative business education that is comprehensive and flexible. Students begin with coursework that builds a strong foundation in probability and statistics, managerial communication, managerial psychology, microeconomics, and accounting. They augment this foundation by selecting two restricted electives in core business functions: finance, operations management, marketing, and strategy. Students then tailor the remainder of their program by selecting five electives that go into depth in an individualized concentration area. The Undergraduate Education Office and the Course 15 advisor provide guidance and approval for the concentration to ensure students achieve a coherent focus.

The Bachelor of Science in Business Analytics  program is for students with a strong interest and ability in math and computer science. Students learn techniques such as data modeling and analysis, optimization, and machine learning, so as to help businesses make improved decisions and design efficient processes. Electives provide the opportunity to learn additional methodologies, such as artificial intelligence, systems dynamics, and game theory; take advanced subjects in probability, statistics, and optimization; or study how analytics is applied in content areas such as operations, transportation, marketing, and finance. Students can also refine their skills in practice-based project courses.

At the intersection of economics, strategy, and accounting, finance is about managing assets to keep markets and organizations operating. The  Bachelor of Science in Finance  is designed to train students for careers that focus on the theory and application of the tools of modern finance. The curriculum provides a theoretical foundation in managerial finance, corporate finance, and investments, and requires students to complete laboratory and communications subjects to ensure they have the ability to apply the tools of finance to industry. The restricted electives permit students flexibility to select the rest of their program from advanced topics in, and topics complementary to, finance.

The Minor in Management provides undergraduates in other majors with an understanding of the business, human, and organizational dimensions of scientific and technological enterprise.

The minor consists of six subjects:

The Minor in Business Analytics introduces data analysis techniques and their application to practical business problems. Its focus reflects the core content of the SB degree program in business analytics.

The Minor in Finance provides an understanding of the major areas of finance—corporate finance and investments. The minor will prepare students to understand and apply financial tools for different roles in financial industries or corporate finance positions.

The minor consists of five subjects:

Interdepartmental (Non-Course 15) Students

Course 15 undergraduate subjects are open for WebSIS pre-registration or online registration. There is no bidding necessary for undergraduate subjects. All students who wish to take unrestricted Sloan graduate subjects should consult the MIT Sloan undergraduate website where the course schedule and course syllabi are most readily available for assistance in subject selection.

For additional information about these Course 15 undergraduate programs or about taking a Course 15 class, students are encouraged to visit or contact the Office of Undergraduate Education, Room E52-154 (Suite 133), 617-253-8614, and the MIT Sloan undergraduate website .

Master of Business Administration

Master of business analytics, master of finance, master of science in management studies, doctor of philosophy, interdisciplinary programs, master's degree programs for mid-career executives, graduate study.

The MIT Sloan School of Management offers opportunity for graduate study leading to the degrees of Master of Business Administration, Master of Science in Management, Master of Science in Management of Technology, Master of Finance, Master of Business Analytics, Master of Science in Management Studies, and Doctor of Philosophy. In addition, there are two dual degree options: an MBA/SM with the MIT School of Engineering, known as the Leaders for Global Operations (LGO) program; and an MBA/MPP or MPA with the Harvard Kennedy School.

Admission Requirements for Graduate Study

Applications are welcome from college graduates in all areas of concentration—the humanities, social sciences, physical sciences, and engineering. Please see the individual program websites for specific entrance requirements and more information.

The MIT Sloan School  MBA program  offers a course of study in graduate management education, leading to a master's degree in Business Administration (MBA) or Master of Science in Management (SM). Degree candidates are admitted in winter or spring to a program that begins with a mandatory orientation program in August. The two-year program of study requires candidates to complete a core curriculum plus 144 units of graduate elective subjects.  The program of study focuses on management science, preparing students to analyze and solve organizational and performance issues in a management context.  Students also fulfill research and leadership requirements through activities in the mid-term Sloan Intensive Period and through elective coursework. Residency for four academic terms is required. A grade point average (GPA) of 4.0/5.0 (B) is required at the time of graduation.

The MBA curriculum is designed for maximum flexibility, allowing students to create an individual program best suited to their needs and career interests. During the first term, students take a sequence of core subjects with the option of one of three elective subjects.

In the first term, MBA students are assigned to one of 60 teams consisting of six to seven people. These teams are combined into six larger sections, called cohorts or oceans, for the fall core subjects. Students take all the core subjects in the same assigned section, which facilitates cohort integration and the formation of study groups.

After the first term, students have a wide range of elective subject choices. Students are given a great deal of independence in choosing their subjects, and they may design a program that includes a depth of focus as well as breadth. This includes the option of earning a certificate by enrolling in and completing the elective requirements for a track or certificate program. The MBA Program currently offers six certificates: in finance, enterprise management, entrepreneurship and innovation, healthcare, sustainability, and business analytics.

The Sloan Intensive Period, offered each term, provides students and faculty with the opportunity to explore jointly, in a nontraditional setting, what makes MIT Sloan unique: exceptional research expertise, leadership acumen, and the hands-on application of knowledge.

Practical exposure to management takes place in the MIT Sloan School through a variety of activities. Students in the MBA program have the opportunity to spend the summer between their first and second years working in an internship that contributes to their understanding of and effectiveness in dealing with management problems, by registering in an optional elective internship course under faculty guidance.

During the academic year students have additional opportunities both in and outside the classroom to apply their learning. Many Sloan subjects incorporate action learning into their pedagogy and require students to complete projects within companies and organizations as a deliverable for the subject. These subjects may include a 1–3 week international or domestic experience within a host organization. Corporate leaders are often invited to work with students either through guest lectureships in classes or through interaction with one of the more than 60 student organizations. Some students may also have the opportunity to work as paid teaching and research assistants to the Sloan faculty.

Outside of the classroom, the MBA community's student organizations and clubs provide students the opportunity to practice leadership through the execution of conferences, international study tours and treks, business plan and case competitions, and other club-related activities.

The Master of Business Analytics program is a specialized advanced master's degree designed to prepare students for careers in data science and business analytics.

The program is tailored for students in their final year of their undergraduate education or recent college graduates who plan to pursue a career in the data science industry, as well as those seeking career advancement or change, especially engineers, mathematicians, physicists, computer programmers, and other high-tech professionals.

The full-time, 12-month program is divided into three semesters: fall, spring, and summer. From spring until the summer session, students complete a mandatory 7-month analytics capstone project course. During this capstone course, students work in small teams with a US or international company on a real data science problem and go onsite to the company for a summer professional experience. Each group completes a written report and gives a final oral presentation to the company and MIT Sloan and MIT Operations Research Center faculty.

The  Master of Finance (MFin) is an 18-month program, with a 12-month accelerated option, that prepares students for a broad range of careers in finance requiring analytical rigor and the ability to innovate around market challenges. The program consists of required fundamental and advanced subjects, restricted electives, action learning, ethics modules, a programming literacy test, and an optional master's thesis. Students are able to complete a concentration in financial engineering, capital markets, or corporate finance.  While not required, those in the 18-month program are eligible to conduct an internship between their spring and final fall term.

Required summer-term coursework provides the foundation in finance, accounting, and financial mathematics for continuing with more advanced required and elective subjects in the subsequent terms. Restricted electives ensure appropriate depth as well as opportunities for breadth of study, depending on the student's interest. Students are required to take an action learning course, either a proseminar or Finance Lab, project-based classes in which students work in teams to address current problems identified by finance professionals. A thesis option is available for students who wish to research a topic of particular interest.

Frequent seminars, conferences, and major lectures present students with opportunities to hear from recognized leaders from a variety of industries. MFin students have full access to the extensive resources of the MIT Sloan Career Development Office as well as Career Advising and Professional Development. In addition, students participate in a wide array of professional clubs, student government, sports teams, and organizations at the school and campus level.

To graduate, students must attain at least a B (4.0/5.0) for finance core and restricted classes as well as their overall GPA at the time of graduation. Residency for all academic terms is required.

Students may not pursue another degree program while enrolled in the MFin. Except in the case of core requirements, coursework completed at MIT prior to matriculation in the MFin program may not be applied toward the MFin degree without the approval of the MFin faculty director.

In addition to the traditional synergies among finance, economics, and accounting, the program exploits intellectual ties among finance and mathematics, statistics, psychology, management, computer science, and engineering. The program is primarily targeted at recent graduates with zero to three years of experience. Recent graduates of postgraduate programs in mathematics, science, and engineering who wish to enter the finance profession are also encouraged to apply. MFin prepares students for a wide variety of finance roles in the private and public sector as well as doctoral studies.

Typically, applications to the MFin program are due in early January; decisions are usually announced by mid-March. This is subject to change. For exact deadlines , please refer to the Master of Finance website.

The Master of Science in Management Studies (MSMS) program is a customizable advanced master's degree that complements an overseas management education. Designed for students in the process of completing, or who have already completed, their MBA (or comparable master's) degree at one of Sloan's international partner schools, the MSMS program allows students to pursue their area of interest in management and construct an individualized curriculum of all-elective subjects from the offerings at MIT Sloan, other MIT departments, and Harvard University. Students specialize in a specific area within management by designating a concentration, taking elective subjects, and working with a Sloan faculty member to write a compulsory master's thesis in their area of study.

The 9-month program, which runs from September to June, requires full-time residence. In addition, MSMS students are required to meet MIT's requirement of at least 66 units of graduate subjects, and a master's thesis. To graduate, students must attain a GPA of 4.0/5.0 (B) by the time of graduation. For more information, visit the MSMS website . 

The PhD Program  is the heart of MIT Sloan's research community and develops some of the best management researchers in the world. Approximately 19 new students join the program each year, and concentrate in one of nine research groups.

Students are funded for a period of five years, with the funding package consisting of full tuition, health insurance, a fellowship with a Teaching Assistant (TA) or Research Assistant (RA) component, a new laptop in years one and four, and conference travel funds.

MIT Sloan's PhD students are immersed in our distinctive research culture. Working closely with faculty, students conduct innovative research and lay the groundwork for lifelong careers in academic research. There are two separate research requirements within the program: the master's thesis and the PhD dissertation.

In the second or third year of the program, students are expected to complete their first major research paper, which will become a master’s thesis, thereby earning them an SM in Management Research. General Exams are usually taken at the end of the second year or beginning of the third year of study, and after successful completion, work begins on choosing and defining a doctoral research topic. The PhD dissertation consists of significant, original scholarly research. Candidates typically require two or three years of full-time work to complete their doctoral theses.

The Master of Science in Computational Science and Engineering (CSE SM) is an interdisciplinary program that provides students with a strong foundation in computational methods for applications in science and engineering. The CSE SM program trains students in the formulation, analysis, implementation, and application of computational approaches via a common core, which serves all science and engineering disciplines, and an elective component which focuses on particular disciplinary applications. The program emphasizes:

• Breadth through introductory courses in numerical analysis, simulation, and optimization
• Depth in the student’s chosen field
• Multidisciplinary aspects of computation
• Hands-on experience through projects, assignments, and a master's thesis

Current MIT graduate students may pursue a CSE SM in conjunction with a department-based master's or PhD program.

For more information, see the full program description under Interdisciplinary Graduate Programs.

The 24-month Leaders for Global Operations (LGO)  program  combines graduate degrees in engineering and management for those with previous postgraduate work experience and strong undergraduate degrees in a technical field . During the two-year program, students complete a six-month internship  at one of LGO's partner companies, where  they conduct  research that  forms the basis of a dual-degree thesis. Students finish the program with two MIT degrees: an MBA (or SM in management) and an SM from one of seven engineering programs, some of which have optional or required LGO tracks.  After graduation, alumni  lead strategic initiatives in high-tech, operations, and manufacturing companies.

System Design and Management

The System Design and Management (SDM)  program is a partnership among industry, government, and the university for educating technically grounded leaders of 21st-century enterprises. Jointly sponsored by the School of Engineering and the Sloan School of Management, it is MIT's first degree program to be offered with a distance learning option in addition to a full-time in-residence option.

MIT Sloan Fellows MBA Program

This full-time, 12-month (June–May) immersive MBA program is designed for high-performing mid-career professionals. The program typically enrolls about 115 outstanding individuals with 10–20 years of professional experience from more than 30 nations, representing a wide variety of for-profit and nonprofit industries, organizations, and functional areas. About half of the participants are sponsored by or have the strong support of their employers, with the other half being self-sponsored participants, many with unique entrepreneurial experiences and perspectives.

The program is characterized by a rigorous academic curriculum, frequent interactions with international business and government leaders, and a valuable exchange of global perspectives. The fellows work together in a team environment, tackling practical issues with a spirit of intellectual adventure. After collaborating across disciplines, cultures, and backgrounds in this intense learning environment, they leave the program with a robust alumni network and the skills necessary to create change, build alliances, and drive global ventures.

For more information about the MIT Sloan Fellows MBA Program and how to apply, visit the website or contact the admissions office , 617-258-5434.

MIT Executive MBA

The MIT Executive MBA (EMBA)  is a rigorous 20-month, executive schedule Master of Business Administration that builds on MIT Sloan’s history of distinguished MBA programs and mid-career education. The classroom-based program is designed to develop principled, innovative leaders, usually with a decade or more of work experience, who can transform the world's most important institutions. The MIT Executive MBA is an opportunity to join an elite forum for innovation and leadership in which mid-career executives develop an edge in their general management skills and build a business network that lasts a lifetime.

The program brings together rising executives from diverse industries to collaborate on the complex challenges they face now—and will face in years to come—within their organizations and within the larger international marketplace. Although a large proportion of MIT EMBAs come from careers in life science, engineering, and technology, our ranks also include leaders in government, start-ups, nonprofits, finance, and the military. All are inspired by this rare opportunity to drive positive change, master the science of management, and integrate global leadership and data-driven analytics.

For more information about the MIT Executive MBA and how to apply, visit the EMBA website or contact the program office , Room E52-255, 617-253-5033.

Faculty and Teaching Staff

David C. Schmittlein, PhD

Professor of Marketing

John C Head III Dean, MIT Sloan School of Management

Michael A. Cusumano, PhD

Sloan Management Review Distinguished Professor in Management

Professor of Technological Innovation, Entrepreneurship, and Strategic Management

Deputy Dean, MIT Sloan School of Management

Dimitris J. Bertsimas, PhD

Boeing Leaders for Global Operations Professor of Management

Professor of Operations Research

Associate Dean for Business Analytics, MIT Sloan School of Management

Fiona E. Murray, PhD

Bill Porter (1967) Professor of Entrepreneurship

Associate Dean for Innovation and Inclusion, MIT Sloan School of Management

Georgia Perakis, PhD

William F. Pounds Professor of Management

Professor of Operations Research and Operations Management

Associate Dean for Social and Ethical Responsibilities in Computing, MIT Schwarzman College of Computing and MIT Sloan School of Management

Ray Eugene Reagans, PhD

Alfred P. Sloan Professor of Management

Professor of Organization Studies

Associate Dean for Diversity, Equity, and Inclusion, MIT Sloan School of Management

Nelson Repenning, PhD

School of Management Distinguished Professor

Professor of System Dynamics and Organization Studies

Associate Dean of Leadership and Special Projects, MIT Sloan School of Management

Rodrigo Verdi, PhD

Nanyang Technological University Professor of Accounting

Associate Dean for Teaching and Learning, MIT Sloan School of Management

Jacob Cohen, MS, JD

Senior Lecturer in Accounting and Law

Senior Associate Dean, Undergraduate and Master's Programs, MIT Sloan School of Management

Deborah L. Ancona, PhD

Seley Distinguished Professor of Management

Sinan Aral, PhD

David Austin Professor in Management

Professor of Information Technology and Marketing

Member, Institute for Data, Systems, and Society

Paul Asquith, PhD

Gordon Y Billard Professor of Finance

Pierre Azoulay, PhD

International Programs Professor of Management

Arnold I. Barnett, PhD

George Eastman Professor of Management Science and Statistics

Cynthia Barnhart, PhD

Abraham J. Siegel Professor of Management

Professor of Civil and Environmental Engineering

Professor of Operations Research and Statistics

Alessandro Bonatti, PhD

John Norris Maguire (1960) Professor

Professor of Applied Economics

John Stephen Carroll, PhD

Gordon Kaufman Professor of Management

Emilio J. Castilla, PhD

Nanyang Technological University Professor

Professor of Management

Hui Chen, PhD

Nomura Professor of Finance

John E. Core, PhD

Professor of Accounting

Jared R. Curhan, PhD

Joseph J. Doyle, PhD

Erwin H. Schell Professor of Management

Steven D. Eppinger, ScD

General Motors Leaders for Global Operations Professor of Management

Professor of Operations Management, Management Science, and Innovation

Vivek F. Farias, PhD

Patrick J. McGovern (1959) Professor

Professor of Operations Management

Roberto Fernandez, PhD

Charles H. Fine, PhD

Chrysler Leaders for Global Operations Professor of Management

Kristin J. Forbes, PhD

Jerome and Dorothy Lemelson Professor of Management

Professor of Global Economics and Management

Robert Michael Freund, PhD

Theresa Seley Professor in Management Sciences

David Gamarnik, PhD

Robert S. Gibbons, PhD

Sloan Distinguished Professor of Management

Stephen C. Graves, PhD

Professor of Operations Management and Leaders for Global Operations

Professor of Mechanical Engineering

Michelle Hanlon, PhD

Howard W. Johnson Professor

John R. Hauser, ScD

Kirin Professor of Marketing

Yasheng Huang, PhD

International Program Professor in Chinese Economy and Business

Simon Johnson, PhD

Ronald A. Kurtz (1954) Professor of Entrepreneurship

Katherine C. Kellogg, PhD

David J. McGrath jr (1959) Professor of Management and Innovation

Professor of Work and Organization Studies

Erin L. Kelly, PhD

Sloan Distinguished Professor of Work and Organization Studies

Christopher Roland Knittel, PhD

William Barton Rogers Professor in Energy

Leonid Kogan, PhD

Nippon Telegraph & Telephone Professor of Management

Professor of Finance

S.P. Kothari, PhD

Gordon Y Billard Professor in Management

Professor of Accounting and Finance

Retsef Levi, PhD

J. Spencer Standish (1945) Professor of Management

Andrew W. Lo, PhD

Charles E. and Susan T. Harris Professor

Deborah J. Lucas, PhD

Sloan Distinguished Professor of Finance

Stuart E. Madnick, PhD

Professor of Information Technology

Thomas L. Magnanti, PhD

Institute Professor

Professor of Electrical Engineering

Thomas W. Malone, PhD

Patrick J. McGovern (1959) Professor of Management

Robert C. Merton, PhD

School of Management Distinguished Professor of Finance

Wanda J. Orlikowski, PhD

Professor of Information Technology and Organization Studies

James B. Orlin, PhD

E. Pennell Brooks (1917) Professor in Management

Jonathan A. Parker, PhD

Robert C. Merton (1970) Professor of Finance

Robert S. Pindyck, PhD

Bank of Tokyo-Mitsubishi, Ltd. Professor in Finance and Economics

Drazen Prelec, PhD

Digital Equipment Corp. Leaders for Global Operations Professor of Management

Professor of Management Science

Professor of Economics

Professor of Brain and Cognitive Sciences

David Rand, PhD

Erwin H. Schell Professor

Roberto Rigobon, PhD

Society of Sloan Fellows Professor

Edward B. Roberts, PhD

David Sarnoff Professor of Management

Professor of Management of Technology

Antoinette Schoar, PhD

Stewart C. Myers-Horn Family Professor of Finance

Nemit Shroff, PhD

Duncan Simester, PhD

Eric So, PhD

John Sterman, PhD

Jay W. Forrester Professor of Management

Professor of System Dynamics

Scott Stern, PhD

David Sarnoff Professor of Management of Technology

Tavneet Suri, PhD

Louis E. Seley Professor in Applied Economics

David Thesmar, PhD

Franco Modigliani Professor of Financial Economics

Catherine E. Tucker, PhD

Adrien Frederic Verdelhan, PhD

Stephens Naphtal Professor of Finance

Eric A. von Hippel, PhD

T. Wilson (1953) Professor in Management

Professor of Management of Innovation

Professor of Engineering Systems

Jiang Wang, PhD

Mizuho Financial Group Professor

Joseph P. Weber, PhD

George Maverick Bunker Professor of Management

Roy E. Welsch, PhD

Eastman Kodak Leaders for Global Operations Professor of Management

Professor of Statistics

Michael Whinston, PhD

Society of Sloan Fellows Professor of Management

Catherine Wolfram, PhD

William F. Pounds Professor of Energy Economics

JoAnne Yates, PhD

Professor of Managerial Communication, and Work and Organization Studies

Juanjuan Zhang, PhD

Epoch Foundation Professor of International Management

Ezra W. Zuckerman Sivan, PhD

Alvin J. Siteman (1948) Professor of Entrepreneurship and Strategy

Associate Professors

Dean Eckles, PhD

Associate Professor of Marketing

Associate Director, Institute for Data, Systems, and Society

Negin Golrezaei, PhD

KDD Career Development Professor in Communications and Technology

Associate Professor of Operations Management

John J. Horton, PhD

Associate Professor of Information Technology

Alexandre Jacquillat, PhD

Class of 1942 Career Development Professor

Associate Professor of Operations Research and Statistics

Jónas Oddur Jónasson, PhD

Robert G. James Career Development Professor

Namrata Kala, PhD

W. Maurice Young (1961) Career Development Professor of Management

Associate Professor of Applied Economics

Danielle Li, PhD

Associate Professor of Technological Innovation, Entrepreneurship, and Strategic Management

Jackson G. Lu, PhD

Sloan School Career Development Professor

Associate Professor of Work and Organization Studies

Rahul Mazumder, PhD

Associate Professor of Operations Research

Christopher Palmer, PhD

Albert and Jeanne Clear Career Development Professor

Associate Professor of Finance

Hazhir Rahmandad, PhD

Schussel Family Professor of Management Science

Associate Professor of System Dynamics

Andy Sun, PhD

Iberdrola-Avangrid Professor in Electric Power Systems

Andrew G. Sutherland, PhD

Associate Professor of Accounting

Nikolaos (Nikos) Trichakis, PhD

Catherine Turco, PhD

Michael M. Koerner (1949) Professor of Entrepreneurship

Emil Verner, PhD

Class of 1957 Career Development Professor

Nathan Wilmers, PhD

Sarofim Family Career Development Professor

Yanchong Karen Zheng, PhD

George M. Bunker Professor of Management

(On leave, spring)

Haoxiang Zhu, PhD

Assistant Professors

Abdullah Almaatouq, PhD

Douglas Drane Career Development Professor in Information Technology

Assistant Professor of Information Technology

Charles Angelucci, PhD

Assistant Professor of Applied Economics

(On leave, fall)

Rahul Bhui, PhD

Class of 1958 Career Development Professor

Assistant Professor of Marketing

Taha Choukhmane, PhD

Class of 1947 Career Development Professor

Assistant Professor of Finance

Johan Chu, PhD

Assistant Professor of System Dynamics

Joann de Zegher, PhD

Maurice F. Strong Career Development Professor

Assistant Professor of Operations Management

Mert Demirer, PhD

Maryam Farboodi, PhD

Jon D. Gruber Career Development Professor

Daniel Freund, PhD

Swati Gupta, PhD

Assistant Professor of Operations Research and Statistics

Jing Li, PhD

William Barton Rogers Career Development Professor of Energy Economics

Tong Liu, PhD

Thodoris Lykouris, PhD

Mitsui Career Development Professor

Alexey Makarin, PhD

Lira Mota, PhD

Matthew Phillips, PhD

Silverman (1968) Family Career Development Professor

Assistant Professor of Accounting

Jacquelyn Pless, PhD

Fred Kayne (1960) Career Development Professor of Entrepreneurship

Assistant Professor of Technological Innovation, Entrepreneurship, and Strategic Management

Chara Podimata, PhD

Manish Raghavan, PhD

Drew Houston (2005) Career Development Professor

Assistant Professor of Electrical Engineering and Computer Science

Georg Rilinger, PhD

Lawrence Schmidt, PhD

Victor J. Menezes (1972) Career Development Professor of Finance

Kerry Y. Siani, PhD

Anna Stansbury, PhD

Class of 1948 Career Development Professor

Assistant Professor of Work and Organization Studies

Basima Tewfik, PhD

Class of 1943 Career Development Professor

Bart Van Parys, PhD

Benjamin Vatter, PhD

Chloe Xie, PhD

Zenon Zannetos (1955) Career Development Professor

Vicky Chuqiao Yang, PhD

Professors of the Practice

William Aulet, MS

Professor of the Practice of Technological Innovation, Entrepreneurship, and Strategic Management

Athanasios Orphanides, PhD

Professor of the Practice of Global Economics and Management

Rama Ramakrishnan, PhD

Professor of the Practice of Operations Research and Statistics

Zeynep Ton, DBA

Professor of the Practice of Operations Management

Visiting Professors

Bala Dharan, PhD

Visiting Professor of Accounting

Diwakar Gupta, PhD

Visiting Professor of Operations Management

Nobuhiro Kiyotaki, PhD

Fischer Black Visiting Professor of Finance

Gilbert Metcalf, PhD

Visiting Professor of Applied Economics

Toby E. Stuart, PhD

Visiting Professor of Technological Innovation, Entrepreneurship, and Strategic Management

Lawrence Weiss, DBA

Visiting Professor of Finance

Sean Willems, PhD

Visiting Associate Professors

Beatrice Michaeli, PhD

Visiting Associate Professor of Accounting

Heikki Rantakari, PhD

Visiting Associate Professor of Applied Economics

Hong Ru, PhD

Visiting Associate Professor of Finance

Visiting Assistant Professors

Daniel Auguste, PhD

Martin Luther King, Jr. Visiting Assistant Professor of Management

Jungho Choi, PhD

Visiting Assistant Professor of Accounting

Adjunct Professors

Mary P. Rowe, PhD

Adjunct Professor of Management

Senior Lecturers

Frank Ahimaz, MBA

Senior Lecturer in Management

Bridget Akinc, MBA

Senior Lecturer in Leadership

John L. Akula, JD, PhD

Senior Lecturer of Law

Kirk Arnold, BA

Joseph J. Battat, PhD

Senior Lecturer in Global Economics and Management

Jim Baum, MEng

Lou Bergholz, BS

Tara Bieber, MD, PhD

Senior Lecturer in Executive Education

Kara Blackburn, MA

Senior Lecturer in Managerial Communication

Kimberly Boucher, MBA

David Breashears

Lori Breslow, PhD

Philip Budden, PhD

John F. Carrier, ScD

Carly Chase, BA

Entrepreneur in Residence, Martin Trust Center for MIT Entrepreneurship

Sharmila Chatterjee, PhD

Paul Cheek, BS

Court Chilton, MBA

Zen Chu, MBA

Senior Lecturer in Technological Innovation, Entrepreneurship, and Strategic Management

Elliot Cohen, MBA

John Davis, PhD

James P. Dougherty, MA

Jeanne M. Fama, PhD

Mohammad Fazel-Zarandi, PhD

Senior Lecturer in Operations Research and Statistics

William Fischer, DBA

Senior Lecturer in Operations Management

Jonathan Fleming, MRP

Daena Giardella, MA

Edward Golding, PhD

Renée Richardson Gosline, PhD

Research Scientist of Management

John C. Grant, SM

Hal Gregersen, PhD

Nathaniel Gregory, PhD

Joseph Hadzima, SM, JD

Senior Lecturer in Entrepreneurship

Leigh Hafrey, PhD

Brian Halligan, MBA

Neal Hartman, MEd

Virginia Healy-Tangney, MA, MS

Kit Hickey, MBA

Thomas J. Hynes III, BS

Kate W. Isaacs, PhD

Jason Jay, PhD

Charles F. Kane, MBA

Ralph Katz, PhD

Miroslav W. Kazakoff, MBA

Christine Kelly, EdD

Donald Kieffer, BA

Matthew Kressy, BFA

Mark P. Kritzman, MBA

Stuart Krusell, MPA

Roger Lehman, PhD

Shari Loessberg, JD

Egor Matveyev, PhD

Paul McDonagh-Smith, BA

Senior Lecturer in Information Technology and Executive Education

Arathi Mehrotra, MBA

Senior Lecturer in Communications

Jeffrey A. Meldman, JD, PhD

Paul F. Mende, PhD

Senior Lecturer in Finance

J. Bradley Morrison, PhD

Robert Nachtrieb, ScD

Senior Lecturer in System Dynamics

Christopher Noe, PhD

Senior Lecturer in Accounting

Francis Martin O'Sullivan, PhD

Bethany Patten, MBA

Keri Pearlson, DBA

Roberta Pittore, MBA

Robert C. Pozen, JSD

Anne Quaadgras, PhD

Gita R. Rao, MBA, PhD

Douglas Ready, PhD

John M. Reilly, PhD

James Rhee, JD

Matthew Rhodes-Kropf, PhD

David Robertson, PhD

Louis Rodriques, JD

Thomas A. Roemer, PhD

Matthew Rothman, PhD

Hiram Samel, PhD

Anjali Sastry, PhD

Imran Sayeed, BA

Claus Otto Scharmer, PhD

Erin Scott, PhD

Peter M. Senge, PhD

Dina Sherif, MA, MPA

Ben Shields, PhD

Susan Siegel, MS

Steven J. Spear, PhD

Donald Sull, PhD

Mostafa Terrab, PhD

Distinguished Senior Lecturer in Management

Chintan Vaishnav, PhD

Luis Videgaray Caso, PhD

Henry Birdseye Weil, SM

George Westerman, PhD

Stephanie L. Woerner, PhD

Principal Research Scientist of Management

Andrey Zarur, PhD

Matias B. Adam, MS, MBA

Lecturer for Action Learning Team Mentoring

Angelique Adams, PhD

Lecturer for Organizations Lab Mentoring

Aman Advani, BS

Lecturer in Management

Luis Barros, MBA

Geoff Beckwith, MBA

Lecturer for Global Organizations Lab Team Mentoring

Michael Benedetto, BS

Telis Bertsekas, MBA

Rachel Best, MS

Lecturer of Work and Organization Studies

David Birnbach, MBA

Adam Blake, MBA

Adriana Bokel Herde, MBA

James Butler, MS

Christopher Scott Cullen, MBA

Lecturer in Managerial Communication

Wendeline de Zan, JD

Anthony R. DeVito, MBA

Lecturer for Ops Lab Team Mentoring

Sheila Dodge, SM, MBA

Max Faingezicht, MBA

Yida Gao, SM

Daniel Glusick, MS

Catherine Iacobo, MS

Michellana Y. Jester, EdD

Barbara Johnson, MBA

Kevin D. Johnson, MBA

Lecturer in Technological Innovation, Entrepreneurship, and Strategic Management

Ted Keith, BS

Macauley Kenney, MS

Gene Keselman, MS, MBA

Amy H. Kimball, MBA

Yu-Ting Kuo, SM

Stephanie Lampkin, MBA

Jenny Larios Berlin, MCP, MBA

Malia C. Lazu, BS

Jordan Todd Levine, MEng

Konstantinos Ligris, MBA, JD

Cassandra Lowell, BS

Makeeba McCreary, EdD

Lecturer in Leadership

Harvey G. Michaels, MCP

Research Scientist in Management

Megan Mitchell, MEd

Susan Neal, MBA

John Neeson, BA

Lecturer for Team and Project Mentoring

Dipul Patel, MS, MBA

Michael Plancon, MBA

Tracy Purinton, MEd

Oljeta Bida Qirko, MS, MBA

James Repenning, MBA

Lecturer for Sustainable Business Lab Mentoring

John M. Richardson, JD

Nicki Roth, MA

Jonathan Ruane, MBs, MBA

Mark Schwiebert, BS

Aithan Shapira, PhD

Mikey Shulman, PhD

Emmanuelle Skala, MBA

Shira Springer, MBA

Carl Stjernfeldt, MS, MBA

Will Sun, MBA

Andrew Surwilo, MBA

Jayne Tan, MBA

Lecturer for G-Lab Team Mentoring

Allan Telio, MBA

Lecturer in Communications

Catherine Thut, PhD

Donald Triner Jr, MS

Lecturer for Team Mentoring

Nagarjuna Venna, MS

Libby Wayman, MS

Melissa J. Webster, MBA

Dana White, MBA

Alexander Zak, DSc

Research Staff

Senior research scientists.

Peter D. Weill, PhD

Senior Research Scientist in Management

Principal Research Associates

Mark Klein, PhD

Principal Research Associate of Management

Alexander M. Samarov, PhD

Principal Research Scientists

Andrew Paul McAfee, DBA

Michael D. Siegel, PhD

Barbara Wixom, PhD

Research Associates

Alexander Gant, MCP

Research Associate of Management

Jennifer Gao, MS

David Keith, PhD

Georgios Petropoulos, PhD

Research Scientists

Florian Berg, PhD

Christian Catalini, PhD

Peter A. Gloor, PhD

Jillian Kwong, PhD

Danica Mijovic-Prelec, PhD

Ranjan Pal, PhD

Anne Sartori, PhD

Ina Marie Sebastian, PhD

Neil Thompson, PhD

Nick van der Meulen, PhD

Juan Pablo Vielma, PhD

Erez Yoeli, PhD

Professors Emeriti

Lotte Bailyn, PhD

T. Wilson (1953) Professor Emerita of Management

Ernst R. Berndt, PhD

Louis E. Seley Professor Emeritus of Applied Economics

John Carrington Cox, PhD

Nomura Professor Emeritus of Finance

Bengt Holmström, PhD

Paul A. Samuelson Professor Emeritus

Professor Emeritus of Economics

Professor Emeritus of Applied Economics

Henry D. Jacoby, PhD

William F. Pounds Professor Emeritus of Management

Gordon M. Kaufman, DBA

Morris A. Adelman Professor Emeritus

Professor Emeritus of Management and Statistics

Thomas Anton Kochan, PhD

George Maverick Bunker Professor Emeritus of Management

Professor Emeritus of Work and Employment Research

Donald R. Lessard, PhD

Epoch Foundation Professor Emeritus of International Management

Professor Emeritus of Global Economics and Management

John D.C. Little, PhD

Institute Professor Emeritus

Professor Emeritus of Marketing

Robert B. McKersie, PhD

Professor Emeritus of Management

Stewart C. Myers, PhD

Robert C. Merton (1970) Professor Emeritus of Financial Economics

Professor Emeritus of Finance

Paul Osterman, PhD

Nanyang Technological University Professor Emeritus

Professor Emeritus of Human Resources and Management

Professor Emeritus of Urban Studies and Planning

William F. Pounds, PhD

Richard Schmalensee, PhD

Howard W. Johnson Professor Emeritus

Michael S. Scott Morton, PhD

Jay W. Forrester Professor Emeritus of Computer Science

Thomas Martin Stoker, PhD

Gordon Y Billard Professor Emeritus in Management and Economics

Glen L. Urban, PhD

David Austin Professor Emeritus

James M. Utterback, PhD

David J. McGrath jr (1959) Professor Emeritus of Management and Innovation

Professor Emeritus of Technological Innovation, Entrepreneurship, and Strategic Management

John Van Maanen, PhD

Erwin H. Schell Professor Emeritus

Professor Emeritus of Organization Studies

Ross L. Watts, PhD

Professor Emeritus of Management and Accounting

Birger Wernerfelt, DBA

J. C. Penney Professor Emeritus of Management

D. Eleanor Westney, PhD

Society of Sloan Fellows Professor Emerita of International Management

Professor Emerita of Global Economics and Management

Managerial Economics

15.000 explorations in management.

Prereq: None U (Fall) 2-0-1 units

Broad introduction to the various aspects of management including analytics, accounting and finance, operations, marketing, entrepreneurship and leadership, organizations, economics, systems dynamics, and negotiation and communication. Introduces the field of management through a variety of experiences as well as discussions led by faculty or industry experts. Also reviews the three undergraduate majors offered by Sloan as well as careers in management. Subject can count toward the 6-unit discovery-focused credit limit for first year students.

15.002 Leadership Challenges for an Inclusive World

Prereq: None G (Fall, Spring) Units arranged [P/D/F]

Units assigned to MBA students upon completion. Restricted to Sloan MBA students.

Consult D. Gormley

15.003 Analytics Tools

Prereq: None G (Fall, IAP, Spring, Summer) 2-0-1 units

Units assigned to Master of Business Analytics students upon completion of the Analytics Tools requirement. Restricted to Master of Business Analytics students.

15.004 Programming for Finance Professionals (New)

Prereq: None G (Summer) 1-0-0 units

Two-day accelerated course with supplemental recitations designed to develop skills in applying basic methods from the programming language Python (with additional references from R) to financial problems. Topics include programming basics in Python, data manipulation, visualization and reporting and an overview of programming ethics. MFin students will apply and build upon these skills in 15.433 Financial Markets and 15.450 / 15.457 Analytics and Advanced Analytics of Finance. Students must pass one of two exams offered during the summer term to demonstrate their ability to solve financial problems using R and Python. Restricted to Sloan Master of Finance Program students.

Consult J. Alton

15.005 Sloan Intensive Period Elective Requirement

Prereq: 15.002 G (Spring; second half of term) Units arranged [P/D/F]

Units assigned to MBA students upon completion of the Sloan Intensive Period (SIP) elective requirement. Restricted to Sloan MBA students.

15.010 Economic Analysis for Business Decisions

Prereq: None G (Fall) 4-0-5 units

Introduces principles of microeconomics as a framework for making more informed managerial decisions. Discusses the supply and demand paradigm with applications to digital marketplaces, innovation, sources of market power, and strategic pricing. Provides an introduction to game theory to study competition and cooperation both within and between firms. Restricted to first-year Sloan MBA students.

15.011 Economic Analysis for Business Decisions

Subject meets with 15.0111 Prereq: None Acad Year 2023-2024: Not offered Acad Year 2024-2025: G (Fall) 4-0-5 units

Introduces principles of microeconomics as a framework for making more informed managerial decisions. Discusses the supply and demand paradigm with applications to digital marketplaces, innovation, sources of market power, and strategic pricing. Provides an introduction to game theory to study competition and cooperation both within and between firms. Expectations and evaluation criteria differ for students taking graduate version; consult syllabus or instructor for specific details. Intended for non-Sloan graduate students; not open to Sloan MBA students.

15.0111 Economic Analysis for Business Decisions

Subject meets with 15.011 Prereq: None Acad Year 2023-2024: Not offered Acad Year 2024-2025: U (Fall) 4-0-5 units

Introduces principles of microeconomics as a framework for making more informed managerial decisions. Discusses the supply and demand paradigm with applications to digital marketplaces, innovation, sources of market power, and strategic pricing. Provides an introduction to game theory to study competition and cooperation both within and between firms. Expectations and evaluation criteria differ for students taking graduate version; consult syllabus or instructor for specific details. Intended for undergraduate students; not open to Sloan MBA students.

15.012 Applied Macro- and International Economics

Prereq: None G (Fall) 3-0-6 units

Explores the macroeconomic environment in which firms operate. Aims to provide a strong foundation in macroeconomic concepts and apply them to understand specific country experiences. Explores drivers of long-term growth, examining the cases of economic miracles and productivity slowdowns in developed economies, and then delves into the fundamental theory of trade, applying it to the discussions of global trade wars and trade agreements. Introduces the basic tools of short-run macroeconomic management, primarily monetary and fiscal policy, utilizing historical case studies and modern policy discussions as context. Concludes with an analysis of the political and social factors that shape the current macroeconomic dynamics, including the rise of social media and the Russian invasion of Ukraine.

15.013 Economics for Strategic Decisions

Prereq: 15.010 or 15.011 Acad Year 2023-2024: Not offered Acad Year 2024-2025: G (Fall) 3-0-6 units

Applies principles of economics most relevant for corporate strategy to analysis of particular industries. Topics include market structure and its determinants; rational strategic behavior in small numbers situations; strategies for price and nonprice competition; dynamic pricing, output, and advertising decisions; entry and entry deterrence; competition with network externalities; investments under uncertainty; competition among platforms; R&D and patent licensing; and the growth and evolution of industries.

15.014 Applied Macro- and International Economics II

Prereq: 15.012 G (Spring; first half of term) 4-0-2 units

Establishes understanding of the development processes of societies and economies. Studies several dimensions of sustainability (environmental, social, political, institutional, economy, organizational, relational, and personal) and the balance among them. Explores the basics of governmental intervention, focusing on areas such as the judicial system, environment, social security, and health. Builds skills to determine what type of policy is most appropriate. Considers implications of new technologies on the financial sector: internationalization of currencies, mobile payment systems, and cryptocurrencies. Discusses the institutional framework to ensure choices are sustainable across all dimensions and applications.

15.015 Macroeconomic Policy Reforms

Prereq: Permission of instructor G (Spring; first half of term) 2-0-4 units

Focuses on the current policy and economic issues in the US economy. Students propose economic and policy reforms around issues such as labor markets, inflation and central banking, financial regulation, education, health, housing, transportation, social security, democracy, immigration, diversity, and environmental policy. Topics change year to year. In each class, proposals are presented and voted upon by the group.

15.018 Current Debates of Macroeconomics and Public Policy

Prereq: None G (Spring; first half of term) 2-0-4 units

Concentrates on debates about current policy challenges. Students debate and vote on policy actions on current issues in developed and developing nations. Subjects include industrial policy, macroeconomics, poverty, social safety net, labor practices, immigration and labor markets, international economics, human rights, civil rights, democracy, environmental policy, regulation, and crypto assets. Topics change from year to year.

15.020 Economics of Energy, Innovation, and Sustainability

Prereq: 14.01 or 15.011 Acad Year 2023-2024: Not offered Acad Year 2024-2025: G (Fall) 3-0-9 units Credit cannot also be received for 14.43[J] , 15.0201[J]

Covers energy and environmental market organization and regulation. Explores economic challenges and solutions to transforming energy markets to be more efficient, accessible, affordable, and sustainable. Applies core economic concepts - consumer choice, firm profit maximization, and strategic behavior - to understand when energy and environmental markets work well and when they fail. They also conduct data-driven economic analysis on the trade-offs of real and proposed policy interventions. Topics include renewable generation sources for electricity, energy access in emerging markets, efficiency programs and fuel efficiency standards, transitioning transportation to alternative fuels, measuring damages and adaptation to climate change, and the effect of energy and environmental policy on innovation. Expectations and evaluation criteria differ for students taking graduate version; consult syllabus or instructor for specific details.

15.0201[J] Economics of Energy, Innovation, and Sustainability

Same subject as 14.43[J] Prereq: 14.01 or 15.0111 Acad Year 2023-2024: Not offered Acad Year 2024-2025: U (Fall) 3-0-9 units. HASS-S Credit cannot also be received for 15.020

15.021[J] Real Estate Economics

Same subject as 11.433[J] Prereq: 14.01 , 15.010 , or 15.011 G (Fall) 4-0-8 units

See description under subject 11.433[J] .

15.022[J] Real Estate Markets: Macroeconomics

Same subject as 11.429[J] Prereq: 11.431[J] or permission of instructor G (Spring; first half of term) 3-0-3 units

See description under subject 11.429[J] . Limited to 30.

15.024 Applied Economics for Managers

Prereq: Permission of instructor G (Summer) 3-0-6 units Credit cannot also be received for 15.722

Develops facility with concepts, language and tools of micro economics. Primary focus on the analysis of markets, strategic interactions among firms and game theory as applied to firms. Emphasizes integration of theory, data, and judgment in the analysis of a wide range of corporate decisions, both between and within firms. Restricted to Sloan Fellow MBAs.

15.025 Game Theory for Strategic Advantage

Subject meets with 15.0251 Prereq: 14.01 , 15.010 , 15.011 , 15.024 , or permission of instructor Acad Year 2023-2024: Not offered Acad Year 2024-2025: G (Spring) 3-0-6 units Credit cannot also be received for 15.741

Develops and applies principles of game theory relevant to managers' strategic decisions. Topics include how to reason about strategies and opponents; strategic commitment and negotiations; reputation and seemingly irrational actions; bidding in auctions; and the design of auctions, contests and markets. Applications to a variety of business decisions that arise in different industries, both within and outside the firm. Meets with 15.0251 when offered concurrently. Expectations and evaluation criteria differ for students taking graduate version; consult syllabus or instructor for specific details.

15.0251 Game Theory for Strategic Advantage

Subject meets with 15.025 Prereq: 14.01 , 15.0111 , or permission of instructor Acad Year 2023-2024: Not offered Acad Year 2024-2025: U (Spring) 3-0-6 units Credit cannot also be received for 15.741

Develops and applies principles of game theory relevant to managers' strategic decisions. Topics include how to reason about strategies and opponents; strategic commitment and negotiations; reputation and seemingly irrational actions; bidding in auctions; and the design of auctions, contests and markets. Applications to a variety of business decisions that arise in different industries, both within and outside the firm. Meets with 15.025 when offered concurrently. Expectations and evaluation criteria differ for students taking graduate version; consult syllabus or instructor for specific details.

15.026[J] Global Climate Change: Economics, Science, and Policy

Same subject as 12.348[J] Prereq: ( Calculus II (GIR) , 5.60 , and 14.01 ) or permission of instructor U (Spring) Not offered regularly; consult department 3-0-6 units

Introduces scientific, economic, and ecological issues underlying the threat of global climate change, and the institutions engaged in negotiating an international response. Develops an integrated approach to analysis of climate change processes, and assessment of proposed policy measures, drawing on research and model development within the MIT Joint Program on the Science and Policy of Global Change. Graduate students are expected to explore the topic in greater depth through reading and individual research..

15.027 Opportunities in Developing Economies

Prereq: None G (Spring; first half of term) Not offered regularly; consult department 3-0-3 units

Investigates the role of the private sector in developing economies, highlighting how solving market failures can improve overall welfare. Covers constraints faced by firms in developing economies: contract enforcement, corruption, political risk, human rights, IP and infrastructure. Uses case studies to discuss successful firms and innovative solutions to these constraints, including public-private partnerships, the role of technology, the role of finance and impact investing.

15.029[J] United States Energy Policy: Lessons Learned for the Future

Same subject as 5.81[J] Subject meets with 5.811[J] , 15.0291[J] Prereq: None G (Fall; second half of term) 2-0-4 units

See description under subject 5.81[J] .

15.0291[J] United States Energy Policy: Lessons Learned for the Future

Same subject as 5.811[J] Subject meets with 5.81[J] , 15.029[J] Prereq: None U (Fall; second half of term) 2-0-4 units

See description under subject 5.811[J] .

15.032[J] Engineering, Economics and Regulation of the Electric Power Sector

Same subject as IDS.505[J] Prereq: None G (Spring) 3-0-9 units

See description under subject IDS.505[J] . Permission of instructor required for undergraduates wishing to take the class.

C. Batlle-Lopez, T. Schittekatte

15.034 Econometrics for Managers: Correlation & Causality in a Big Data World

Subject meets with 15.0341 Prereq: None G (Spring) 4-0-5 units

Introduces econometrics as a framework to go beyond correlations and get to causality, which is crucial for investment decisions in finance, marketing, human resources, public policy, and general business strategy. Through labs and projects, students get experience in many relevant applications.  Students gain a deeper understanding of modeling using multivariate regression, instrumental-variable regression, and machine learning tools including regression trees, random forest, LASSO, and neural networks. No prior knowledge is necessary. Expectations and evaluation criteria differ for students taking graduate version; consult syllabus or instructor for specific details.

15.0341 Econometrics for Managers: Correlation and Causality in a Big Data World

Subject meets with 15.034 Prereq: None U (Spring) 4-0-5 units

15.036[J] Dimensions of Geoengineering

Same subject as 1.850[J] , 5.000[J] , 10.600[J] , 11.388[J] , 12.884[J] , 16.645[J] Prereq: None G (Fall; first half of term) Not offered regularly; consult department 2-0-4 units

See description under subject 5.000[J] . Limited to 100.

J. Deutch, M. Zuber

15.037[J] Energy Economics and Policy

Same subject as 14.44[J] Prereq: 14.01 or 15.0111 U (Spring) 4-0-8 units. HASS-S Credit cannot also be received for 14.444[J] , 15.038[J]

See description under subject 14.44[J] . Limited to 60.

15.038[J] Energy Economics and Policy

Same subject as 14.444[J] Prereq: 14.01 or 15.0111 G (Spring) 4-0-8 units Credit cannot also be received for 14.44[J] , 15.037[J]

See description under subject 14.444[J] . Limited to 60.

15.039[J] Organizational Economics

Same subject as 14.26[J] Subject meets with 14.260 Prereq: 14.01 U (Spring) 4-0-8 units. HASS-S

See description under subject 14.26[J] . Limited to 60.

C. Angelucci

Operations Research/Statistics

15.053 optimization methods in business analytics.

Prereq: 1.00 , 1.000 , 6.100A , or permission of instructor U (Spring) 4-0-8 units. REST

Introduces optimization methods with a focus on modeling, solution techniques, and analysis. Covers linear programming, network optimization, integer programming, nonlinear programming, and heuristics. Applications to logistics, manufacturing, statistics, machine learning, transportation, game theory, marketing, project management, and finance. Includes a project in which student teams select and solve an optimization problem (possibly a large-scale problem) of practical interest.

15.054[J] The Airline Industry

Same subject as 1.232[J] , 16.71[J] Prereq: None G (Fall) 3-0-9 units

See description under subject 16.71[J] .

P. P. Belobaba, H. Balakrishnan, A. I. Barnett, R. J. Hansman, T. A. Kochan

15.060 Data, Models, and Decisions

Prereq: Permission of instructor G (Fall, Summer) 3-0-6 units Credit cannot also be received for 15.730

Introduces students to the basic tools in using data to make informed management decisions. Covers basic topics in data analytics, including introductory probability, decision analysis, basic statistics, regression, simulation, linear and discrete optimization, and introductory machine learning. Spreadsheet exercises, cases, and examples drawn from marketing, finance, operations management, and other management functions. Restricted to first-year Sloan master's students.

D. Gamarnik

15.062[J] Data Mining: Finding the Models and Predictions that Create Value

Same subject as IDS.145[J] Subject meets with 15.0621 Prereq: 15.060 , 15.075[J] , or permission of instructor Acad Year 2023-2024: Not offered Acad Year 2024-2025: G (Spring; second half of term) 2-0-4 units

Introduction to data mining, data science, and machine learning for recognizing patterns, developing models and predictive analytics, and making intelligent use of massive amounts of data collected via the internet, e-commerce, electronic banking, medical databases, etc. Topics include logistic regression, association rules, tree-structured classification and regression, cluster analysis, discriminant analysis, and neural network methods. Presents examples of successful applications in credit ratings, fraud detection, marketing, customer relationship management, investments, and synthetic clinical trials. Introduces data-mining software (R and Python). Grading based on homework, cases, and a term project. Expectations and evaluation criteria differ for students taking the undergraduate version; consult syllabus or instructor for specific details.

R. E. Welsch

15.0621 Data Mining: Finding the Models and Predictions that Create Value

Subject meets with 15.062[J] , IDS.145[J] Prereq: 15.075[J] or permission of instructor Acad Year 2023-2024: Not offered Acad Year 2024-2025: U (Spring; second half of term) 2-0-4 units

Introduction to data mining, data science, and machine learning for recognizing patterns, developing models and predictive analytics, and making intelligent use of massive amounts of data collected via the internet, e-commerce, electronic banking, medical databases, etc. Topics include logistic regression, association rules, tree-structured classification and regression, cluster analysis, discriminant analysis, and neural network methods. Presents examples of successful applications in credit ratings, fraud detection, marketing, customer relationship management, investments, and synthetic clinical trials. Introduces data-mining software (R and Python). Grading based on homework, cases, and a term project. Expectations and evaluation criteria differ for students taking the graduate version; consult syllabus or instructor for specific details.

15.066[J] System Optimization and Analysis for Operations

Same subject as 2.851[J] Prereq: Calculus II (GIR) G (Summer) 4-0-8 units

Introduction to mathematical modeling, optimization, and simulation, as applied to manufacturing and operations. Specific methods include linear programming, network flow problems, integer and nonlinear programming, discrete-event simulation, heuristics and computer applications for manufacturing processes, operations and systems. Restricted to Leaders for Global Operations students.

15.068 Statistical Consulting

Prereq: 15.060 G (Spring) 3-0-6 units

Addresses statistical issues as a consultant would face them: deciphering the client's question; finding appropriate data; performing a viable analysis; and presenting the results in compelling ways. Real-life cases and examples.

A. I. Barnett

15.069 Applied Probability and Statistics

Prereq: Calculus I (GIR) U (Fall) 4-0-8 units. REST

Presents probability from the perspective of applied mathematics, with strong emphasis on an intuitive overview of key theorems and continuing demonstrations of their usefulness. Covers the laws of probability and numerous important discrete and continuous random variables, both individually and in combination. Introduces simulation. Offers an introduction to statistics that emphasizes its probabilistic foundations and the fact that statistical reasoning is applied common sense. Covers hypothesis testing, statistical sampling, and various forms of regression analysis. Draws applications from economics, finance, engineering, marketing, public policy, operations management, and operations research.

15.070[J] Discrete Probability and Stochastic Processes

Same subject as 6.7720[J] , 18.619[J] Prereq: 6.3702 , 6.7700[J] , 18.100A , 18.100B , or 18.100Q G (Spring) 3-0-9 units

Provides an introduction to tools used for probabilistic reasoning in the context of discrete systems and processes. Tools such as the probabilistic method, first and second moment method, martingales, concentration and correlation inequalities, theory of random graphs, weak convergence, random walks and Brownian motion, branching processes, Markov chains, Markov random fields, correlation decay method, isoperimetry, coupling, influences and other basic tools of modern research in probability will be presented. Algorithmic aspects and connections to statistics and machine learning will be emphasized.

G. Bresler, D. Gamarnik, E. Mossel, Y. Polyanskiy

15.071 The Analytics Edge

Prereq: 15.060 G (Fall, Spring) 4-0-8 units Credit cannot also be received for 15.0711 , 15.072

Develops models and tools of data analytics that are used to transform businesses and industries, using examples and case studies in e-commerce, healthcare, social media, high technology, criminal justice, the internet, and beyond. Covers analytics methods such as linear regression, logistic regression, classification trees, random forests, neural networks, text analytics, social network analysis, time series modeling, clustering, and optimization. Uses mostly R programming language and some work in Jupyter notebooks. Includes team project. Meets with 15.0711 when offered concurrently. Expectations and evaluation criteria differ for students taking graduate version; consult syllabus or instructor for specific details.

15.0711 The Analytics Edge

Prereq: 15.053 and 15.069 U (Spring) 4-0-8 units Credit cannot also be received for 15.071 , 15.072

Develops models and tools of data analytics that are used to transform businesses and industries, using examples and case studies in e-commerce, healthcare, social media, high technology, criminal justice, the internet, and beyond. Covers analytics methods such as linear regression, logistic regression, classification trees, random forests, neural networks, text analytics, social network analysis, time series modeling, clustering, and optimization. Uses mostly R programming language and some work in Jupyter notebooks. Includes team project. Meets with 15.071 when offered concurrently. Expectations and evaluation criteria differ for students taking graduate version; consult syllabus or instructor for specific details.

15.072 Advanced Analytics Edge

Prereq: Permission of instructor G (Fall) 4-0-8 units Credit cannot also be received for 15.071 , 15.0711

More advanced version of 15.071 introduces core methods of business analytics, their algorithmic implementations and their applications to various domains of management and public policy. Spans descriptive analytics (e.g., clustering, dimensionality reduction), predictive analytics (e.g., linear/logistic regression, classification and regression trees, random forests, boosting deep learning) and prescriptive analytics (e.g., optimization). Presents analytics algorithms, and their implementations in data science. Includes case studies in e-commerce, transportation, energy, healthcare, social media, sports, the internet, and beyond. Uses the R and Julia programming languages. Includes team projects. Preference to Sloan Master of Business Analytics students.

B. Van Parys

15.073[J] Applied Probability and Stochastic Models

Same subject as 1.203[J] , IDS.700[J] Prereq: 6.3700 or 18.600 G (Fall) Not offered regularly; consult department 3-0-9 units

A vigorous use of probabilistic models to approximate real-life situations in Finance, Operations Management, Economics, and Operations Research. Emphasis on how to develop a suitable probabilistic model in a given setting and, merging probability with statistics, and on how to validate a proposed model against empirical evidence. Extensive treatment of Monte Carlo simulation for modeling random processes when analytic solutions are unattainable.

15.075[J] Statistical Thinking and Data Analysis

Same subject as IDS.013[J] Prereq: 6.3700 or 15.069 U (Spring) 3-1-8 units. Institute LAB

Introduces a rigorous treatment of statistical data analysis while helping students develop a strong intuition for the strengths and limitations of various methods. Topics include statistical sampling and uncertainty, estimation, hypothesis testing, linear regression, classification, analysis of variation, and elements of data mining. Involves empirical use of hypothesis testing and other statistical methodologies in several domains, including the assessment of A-B experiments on the web and the identification of genes correlated with diseases.

M. Fazel Zarandi

15.076 Analytics for a Better World

Prereq: Calculus I (GIR) U (Spring) 4-0-8 units. Institute LAB

Introduces predictive and prescriptive analytics methods to solve problems that contribute to the welfare of society. Emphasis on using machine learning and optimization methods in innovative ways using real world data. Methods used include: linear and discrete optimization, linear and logistic regression, optimal classification and regression trees, deep learning, random forests, and boosted trees. Projects utilize Julia, Jump, and Tensor Flow. Assessment based on projects, including a capstone project. Restricted to undergraduates.

D. Bertsimas

15.077[J] Statistical Machine Learning and Data Science

Same subject as IDS.147[J] Prereq: Permission of instructor Acad Year 2023-2024: Not offered Acad Year 2024-2025: G (Spring) 4-0-8 units

Advanced introduction to theory and application of statistics, data-mining and machine learning using techniques from management science, marketing, finance, consulting, and bioinformatics. Covers bootstrap theory of estimation, testing, nonparametric statistics, analysis of variance, experimental design, categorical data analysis, regression analysis, MCMC, and Bayesian methods. Focuses on data mining, supervised learning, and multivariate analysis. Topics chosen from logistic regression, principal components and dimension reduction; discrimination and classification analysis, trees (CART), partial least squares, nearest neighbors, regularized methods, support vector machines, boosting and bagging, clustering, independent component analysis, and nonparametric regression. Uses statistics software R, Python, and MATLAB. Grading based on homework, cases, and a term project.

15.081[J] Introduction to Mathematical Programming

Same subject as 6.7210[J] Prereq: 18.06 G (Fall) 4-0-8 units

See description under subject 6.7210[J] .

J. N. Tsitsiklis, D. Bertsimas

15.083 Integer Optimization

Prereq: 6.7210[J] or 15.093[J] Acad Year 2023-2024: Not offered Acad Year 2024-2025: G (Spring) 4-0-8 units

In-depth treatment of mixed-integer optimization. Topics include modeling techniques, combinatorial optimization, ideal formulations, cutting plane methods, branching algorithms, row generation algorithms, column generation algorithms, heuristic algorithms, and mixed-integer non-linear optimization. Instruction provided in modeling complex problems arising in practice; understanding the theory of integer optimization; knowing the core technologies employed within modern solvers; and developing algorithms to solve large-scale problems for which off-the-shelf solvers may not be sufficient. Examples drawn from a broad range of industries, such as transportation, energy, telecommunications, finance, product design, sports, and social networks. Includes a term project.

A. Jacquillat

15.084[J] Nonlinear Optimization

Same subject as 6.7220[J] Prereq: 18.06 and ( 18.100A , 18.100B , or 18.100Q ) G (Spring) 4-0-8 units

See description under subject 6.7220[J] .

R. M. Freund, P. Parrilo, G. Perakis

15.085[J] Fundamentals of Probability

Same subject as 6.7700[J] Prereq: Calculus II (GIR) G (Fall) 4-0-8 units

See description under subject 6.7700[J] .

T. Broderick, D. Gamarnik, Y. Polyanskiy, J. N. Tsitsiklis

15.086 Engineering Probability

Prereq: Calculus I (GIR) and permission of instructor G (Summer; first half of term) 1-0-2 units

Introduction to applied probability. Makes real-life problems central to the pedagogy and aims for an intuitive understanding of probability as well as mastery of key probabilistic concepts and methods. Preference to first-year Leaders for Global Operations students.

15.087 Engineering Statistics and Data Science

Prereq: Calculus II (GIR) , 15.086 , 18.06 , and permission of instructor G (Summer) 4-0-8 units

Develops ideas for making principled decisions and recommendations based on data, providing an introduction to statistical inference and statistical learning. Covers data displays and summary statistics for quantitative and qualitative data, the law of large numbers for means and empirical distributions, the normal distribution and the central limit theorem, confidence intervals, statistical hypothesis tests for the population mean and differences between population means, simple and multiple regression with quantitative data, model selection, the bias-variance tradeoff, logistic regression for binary outcomes, CART, random forests, gradient boosting, and deep learning. The statistical programming language R is used for in-class demonstrations and for out-of-class assignments. Preference to first-year Leaders for Global Operations students. No required textbook.

R. Mazumder

15.089 Analytics Capstone

Prereq: None G (IAP, Spring, Summer) Units arranged Can be repeated for credit.

Practical application of business analytics problems within a real company. Teams of 1-2 students, matched with company projects, visit companies to define project and scope. In class, students refine and improve on projects and devise methods for solving problems for their select companies. Mentors are assigned to each team. The culmination of the program is summer, on-site, practical training. Restricted to Master of Business Analytics students.

M. Li, J. Levine

15.090 Common Experience in Operations Research

Prereq: None G (Summer) Units arranged [P/D/F]

Provides students with experience working in teams on a data-driven ML project. After a week of classes that cover a range of tools (Keras, Google Collab, etc.) and deep learning technologies, students compete in teams in a jointly chosen Kaggle competition. Short homework assignments help students get acquainted with the required technologies, and regular presentations foster interactions within the ORC cohort. Restricted to Operations Research Center doctoral students.

A. Jacquillat, D. Freund

15.093[J] Optimization Methods

Same subject as 6.7200[J] , IDS.200[J] Subject meets with 6.7201 Prereq: 18.06 G (Fall) 4-0-8 units

Introduces the principal algorithms for linear, network, discrete, robust, nonlinear, and dynamic optimization. Emphasizes methodology and the underlying mathematical structures. Topics include the simplex method, network flow methods, branch and bound and cutting plane methods for discrete optimization, optimality conditions for nonlinear optimization, interior point methods for convex optimization, Newton's method, heuristic methods, and dynamic programming and optimal control methods. Expectations and evaluation criteria differ for students taking graduate version; consult syllabus or instructor for specific details.

D. Bertsimas, P. Parrilo

15.094[J] Robust Modeling, Optimization, and Computation

Same subject as 1.142[J] Prereq: 18.06 or permission of instructor G (Spring) 4-0-8 units

Introduces modern robust optimization, including theory, applications, and computation. Presents formulations and their connection to probability, information and risk theory for conic optimization (linear, second-order, and semidefinite cones) and integer optimization. Application domains include analysis and optimization of stochastic networks, optimal mechanism design, network information theory, transportation, pattern classification, structural and engineering design, and financial engineering. Students formulate and solve a problem aligned with their interests in a final project.

15.095 Machine Learning Under a Modern Optimization Lens

Prereq: 6.7210[J] , 15.093[J] , or permission of instructor G (Fall) 3-1-8 units

Develops algorithms for central problems in machine learning from a modern optimization perspective. Topics include sparse, convex, robust and median regression; an algorithmic framework for regression; optimal classification and regression trees, and their relationship with neural networks; how to transform predictive algorithms to prescriptive algorithms; optimal prescriptive trees; and robust classification.  Also covers design of experiments, missing data imputations, mixture of Gaussian models, exact bootstrap, and sparse matrix estimation, including principal component analysis, factor analysis, inverse co-variance matrix estimation, and matrix completion.

15.097 Seminar in Statistics and Data Analysis

Prereq: Permission of instructor Acad Year 2023-2024: Not offered Acad Year 2024-2025: G (Fall) Units arranged

Group study of current topics related to statistics and data analysis.

15.098 Seminar in Applied Probability and Stochastic Processes

Prereq: 6.3702 G (Fall) Not offered regularly; consult department 2-0-4 units Can be repeated for credit.

Doctoral student seminar covering current topics in applied probability and stochastic processes.

D. Gamarnik, D. Shah

15.099 Seminar in Operations Research

Prereq: 6.7210[J] G (Spring) Not offered regularly; consult department Units arranged Can be repeated for credit.

Doctoral student seminar covering current topics related to operations research.

D. Bertsimas, R. Freund, J. Orlin, G. Perakis

15.110 Operations Research Experience Internship

Required subject in which students engage in an off-campus internship where they build operations research models and work with data that addresses a real-world problem. Internship experience must be at least ten weeks in length and students must have a formal offer letter from their employer or organization. Requirements include a report summarizing how OR models and methods were used by the student participating in the internship and a letter from the internship supervisor. Report must be submitted to the ORC academic administrator upon completion of the internship. Restricted to ORC students. Additional restrictions may apply.

Consult L. Rose

Health Care Management

15.128[j] revolutionary ventures: how to invent and deploy transformative technologies.

Same subject as 9.455[J] , 20.454[J] , MAS.883[J] Prereq: Permission of instructor G (Fall) 2-0-7 units

See description under subject MAS.883[J] .

E. Boyden, J. Bonsen, J. Jacobson

15.136[J] Principles and Practice of Drug Development

Same subject as 10.547[J] , HST.920[J] , IDS.620[J] Prereq: Permission of instructor G (Fall) 3-0-6 units

Description and critical assessment of the major issues and stages of developing a pharmaceutical or biopharmaceutical. Drug discovery, preclinical development, clinical investigation, manufacturing and regulatory issues considered for small and large molecules. Economic and financial considerations of the drug development process. Multidisciplinary perspective from faculty in clinical; life; and management sciences; as well as industry guests.

S. Finkelstein, A. J. Sinskey, R. Rubin

15.137[J] Case Studies and Strategies in Drug Discovery and Development

Same subject as 7.549[J] , 20.486[J] , HST.916[J] Prereq: None G (Spring) Not offered regularly; consult department 2-0-4 units

See description under subject 20.486[J] .

15.141[J] Economics of Health Care Industries

Same subject as HST.918[J] Prereq: None G (Spring; first half of term) 3-0-3 units Credit cannot also be received for 15.1411

Uses economics as a framework to consider healthcare issues, including differences between health care and other industries, the role of health insurance, regulatory issues and incentives for innovation, data analytics to measure value, personalized/stratified medicines, strategic issues in pricing and marketing, use of e-commerce and information technology, and formation and management of various alliances. Provides a better understanding of the US healthcare landscape, and considers incentives for global health investments. Visiting speakers from industry and academia provide multiple expert viewpoints on these topics. Expectations and evaluation criteria differ for students taking the graduate version; consult syllabus or instructor for specific details.

15.1411 Economics of Health Care Industries

Prereq: None U (Spring; first half of term) 3-0-3 units Credit cannot also be received for 15.141[J] , HST.918[J]

Uses economics as a framework to consider healthcare issues, including differences between health care and other industries, the role of health insurance, regulatory issues and incentives for innovation, data analytics to measure value, personalized/stratified medicines, strategic issues in pricing and marketing, use of e-commerce and information technology, and formation and management of various alliances. Provides a better understanding of the US healthcare landscape, and considers incentives for global health investments. Visiting speakers from industry and academia provide multiple expert viewpoints on these topics. Expectations and evaluation criteria differ for students taking the undergraduate version; consult syllabus or instructor for specific details.

Global Economics & Management

15.216 central banks, monetary policy and global financial markets.

Prereq: None G (Spring) 3-0-6 units

Explores the role of central banks and monetary policy in the global economy and the effects of their policies on countries, companies and global financial markets. Reviews the decision-making process and policy implementation, and provides conceptual tools for analyzing and predicting central bank decisions and assessing their likely impact. Covers monetary policy, bank regulation and crisis management, drawing on the experience of the Federal Reserve, the ECB and other central banks in advanced and emerging market economies.

A. Orphanides

15.218 Global Economic Challenges and Opportunities

In-depth analysis of the major risks and opportunities in the global economy. Analyzes key economic forces and policy responses that shape the business environment and link countries around the world, such as financial crises, monetary and fiscal policy, trade wars, unsustainable debt, exchange rates, and financial contagion. Discusses current global economic issues to develop the tools and frameworks to be able to predict and plan for how governments will respond to different challenges in the future. Some background or coursework in international economics recommended. Preference given to MIT Sloan students.

15.219[J] Global Energy: Politics, Markets, and Policy

Same subject as 11.267[J] Prereq: None G (Spring) Not offered regularly; consult department 3-0-9 units Credit cannot also be received for 11.167[J] , 14.47[J] , 15.2191[J] , 17.399[J]

Focuses on the ways economics and politics influence the fate of energy technologies, business models, and policies around the world. Extends fundamental concepts in the social sciences to case studies and simulations that illustrate how corporate, government, and individual decisions shape energy and environmental outcomes. In a final project, students apply the concepts in order to assess the prospects for an energy innovation to scale and advance sustainability goals in a particular regional market. Recommended prerequisite: 14.01 . Meets with 15.2191[J] when offered concurrently. Expectations and evaluation criteria differ for students taking graduate version; consult syllabus or instructor for specific details.

15.2191[J] Global Energy: Politics, Markets, and Policy

Same subject as 11.167[J] , 14.47[J] , 17.399[J] Prereq: None U (Spring) Not offered regularly; consult department 3-0-9 units. HASS-S Credit cannot also be received for 11.267[J] , 15.219[J]

Focuses on the ways economics and politics influence the fate of energy technologies, business models, and policies around the world. Extends fundamental concepts in the social sciences to case studies and simulations that illustrate how corporate, government, and individual decisions shape energy and environmental outcomes. In a final project, students apply the concepts in order to assess the prospects for an energy innovation to scale and advance sustainability goals in a particular regional market. Recommended prerequisite: 14.01 . Meets with 15.219[J] when offered concurrently. Expectations and evaluation criteria differ for students taking graduate version; consult syllabus or instructor for specific details. Preference to juniors, seniors, and Energy Minors.

15.223 Global Markets, National Policies and the Competitive Advantages of Firms

Prereq: None G (Fall; second half of term) 3-0-3 units

Examines opportunities and risks firms face in today's global market. Provides conceptual tools for analyzing how governments and social institutions influence economic competition among firms embedded in different national settings. Public policies and institutions that shape competitive outcomes are examined through cases and analytical readings on different companies and industries operating in both developed and emerging markets.

15.225 Modern Business in China: China Lab

Prereq: None Acad Year 2023-2024: Not offered Acad Year 2024-2025: G (Spring) 3-0-9 units

Provides integrated approach to analyze the economy, geopolitics, and geo-economy of China through action learning. Covers modern history, economics, and politics in China that shape the business environment, cases of companies entering or operating in the Chinese market, and project-related issues and personal and learning reflections. Students work in teams to tackle a real world problems and challenges facing organizations in China. Projects focus on dynamic sectors such as artificial intelligence, the sharing economy, social media, health care, energy, and manufacturing. Examples of projects include creating a business plan for fundraising, developing a new market strategy, and assembling financial models. Subject to availability, some projects may explore policy issues. Limited to graduate students who participate in China Lab.

Y. Huang, J. Grant

15.226 Modern Business in Southeast Asia: ASEAN Lab

Prereq: None Acad Year 2023-2024: G (Spring) Acad Year 2024-2025: Not offered 3-0-9 units

Provides integrated approach to analyze the economies of the Association of Southeast Asian Nations (ASEAN) region — specifically Thailand, Vietnam, Malaysia, and Indonesia — through action learning. Covers modern history, economics, and politics in that region that shape the business environment, cases of companies operating in that region, and project-related issues and personal and learning reflections. Students work in teams to tackle a real world business problem with an entrepreneurial Indian ASEAN-based company and produce a final deliverable for the host company. Projects focus on dynamic sectors such as artificial intelligence, the sharing economy, social media, health care, energy, and manufacturing; examples include creating a business plan for fundraising, developing a new market strategy, and assembling financial models. Limited to graduate students who participate in ASEAN Lab.

15.227 - 15.229 Seminar in International Management

Prereq: None G (Spring) Not offered regularly; consult department Units arranged Can be repeated for credit.

Group study of current topics related to international business.

15.230 Public Policy and the Private Sector

Prereq: None G (Fall) Not offered regularly; consult department 3-0-6 units

Explores the intersection of public policy and the private sector. Senior level guests, who have been deeply involved in public policy, will join this discussion-based course weekly focusing on key economic policy choices - touching on technology, trade, tax, financial, macro-economic and competitions policies. Provides a deep understanding of the process by which policy comes to life. Examines how the private sector affects - and sometimes shapes - public policy. Taught through the lens of US policy decision-making; also covers international dimensions.

15.232 Breakthrough Ventures: Effective Business Models in Frontier Markets

Prereq: None G (Spring; first half of term) 3-0-3 units

Examines how new approaches to operations, revenue, marketing, finance, and strategy enable improved social outcomes in resource-limited settings across Africa, Latin America, and Asia. Draws on system dynamics, design thinking, and strategic analysis. Explores success and failure in attempts to innovate and scale in product and service delivery. Analysis of novel business models draws on case studies, videos, industry reports, research, and guest speakers. Students present their assessments of innovative base-of-the-pyramid enterprises that aim to do more with less. Students who have not taken at least three management or business classes must apply to the instructor for permission to enroll before the first day of class.

15.235 Blockchain and Money

Prereq: None G (Fall) 3-0-3 units

Explores blockchain technology's potential use - by entrepreneurs and incumbents - to change the world of money and finance. Begins with a review of the technology's initial application, the cryptocurrency Bitcoin, giving students an understanding of the commercial, technical and public policy fundamentals of blockchain technology, distributed ledgers and smart contracts in both open-sourced and private applications. Focuses on current and potential blockchain applications in the financial sector. Includes reviews of potential use cases for payment systems, central banking, venture capital, secondary market trading, trade finance, commercial banking, post-trade possessing, and digital ID. Also explores the markets and regulatory landscape for cryptocurrencies, initial coin offerings, other tokens, and crypto derivatives. Open to undergraduates with permission of instructor.

15.236 Global Business of Artificial Intelligence and Robotics (GBAIR)

Prereq: Permission of instructor G (Spring) 2-2-2 units

Discussion based-course examines applications of artificial intelligence and robotics in the business world. Emphasizes understanding the likely direction of technology and how it is likely to be used. Students examine particular applications to deepen their understanding of topical issues. Also focuses on how global economies will change in light of this wave of technology. Preference to Sloan graduate students.

S. Johnson, J. Ruane, L. Videgaray

15.238[J] Shaping the Future of Technology: From Early Agriculture to Artificial Intelligence

Same subject as 14.78[J] Prereq: None Acad Year 2023-2024: Not offered Acad Year 2024-2025: U (Spring) 4-0-8 units. HASS-S; CI-H

See description under subject 14.78[J] .

D. Acemoglu, S. Johnson

15.239[J] China's Growth: Political Economy, Business, and Urbanization

Same subject as 11.257[J] Subject meets with 11.157[J] , 15.2391[J] Prereq: None Acad Year 2023-2024: Not offered Acad Year 2024-2025: G (Spring; second half of term) 3-0-3 units

See description under subject 11.257[J] .

Y. Huang, S. Zheng, Z. Tan

15.2391[J] China's Growth: Political Economy, Business, and Urbanization

Same subject as 11.157[J] Subject meets with 11.257[J] , 15.239[J] Prereq: None Acad Year 2023-2024: Not offered Acad Year 2024-2025: U (Spring; second half of term) 3-0-3 units

See description under subject 11.157[J] .

15.248 Israel Lab: Startup Nation's Entrepreneurship and Innovation Ecosystem

Prereq: None G (Fall, IAP) 3-1-8 units

Experiential study of Israel's innovation and entrepreneurial ecosystem. Provides context about the country and its social and geopolitical issues, as they pertain to doing business in Israel. Explores the role entrepreneurs, venture capitalists, multinational corporations, and other play in this unique ecosystem by hearing from key stakeholders. Teaches McKinsey process for successful consulting engagements and what makes for high performing teams. Student teams travel to Tel-Aviv during IAP to work with and consult for host companies on strategic managerial issues in tech industries such as: AI/ML, big data/analytics, quantum computing, advanced life sciences, robotics, fintech, cybersecurity, and web3.0. Provides students an opportunity to work with startup executives looking to scale and to meet with their venture capitalist backers. Leveraging the historic Abraham Accords offers projects at Israeli companies based in the UAE.

History, Environment and Ethics

15.268 choice points: thinking about life and leadership through literature.

Explores decision making and leadership. Analyzes the dilemmas and decisions characters face in a selection of plays, stories, and films. Provokes reflection on what constitutes effective and moral reasoning in critical moments of both life and leadership.  Restricted to Sloan Fellow MBAs.

Consult J. DiFabio

15.269 Leadership Stories: Literature, Ethics, and Authority

Explores how we use story to articulate ethical norms. The syllabus consists of short fiction, novels, plays, feature films and some non-fiction. Major topics include leadership and authority, professionalism, the nature of ethical standards, social enterprise, and questions of gender, cultural and individual identity, and work/life balance. Materials vary from year to year, but past readings have included work by Chimamanda Ngozi Adichie, Seamus Heaney, Aravind Adiga, Ursula LeGuin, Hao Jingfang, Mohsin Hamid, and others; films have included The Lives of Others, Daughters of the Dust, Hotel Rwanda, Hamilton, and others. Draws on various professions and national cultures, and is run as a series of moderated discussions, with students centrally engaged in the teaching process.

Communication

15.270 ethical practice: leading through professionalism, social responsibility, and system design.

Prereq: None G (Spring; second half of term) 3-0-3 units

Introduction to ethics in business, with a focus on business management. Students explore theoretical concepts in business ethics, and cases representing the challenges they will likely face as managers. Opportunity to work with guest faculty as well as business and other professional practitioners. Individual sessions take the form of moderated discussion, with occasional short lectures from instructor.

15.276 Communicating with Data

Prereq: None U (Fall, Spring) 3-0-9 units

Equips students with the strategies, tactics, and tools to use quantitative information to inform and persuade others. Emphasizes effective communication skills as the foundation of successful careers. Develops the skills to communicate quantitative information in a business context to drive people and organizations toward better decisions. Focuses heavily on the cycle of practicing, reflecting, and revising. Students receive extensive, personalized feedback from teaching team and classmates. Limited to 25; priority to 15-2 and 6-14 majors.

15.277 Seminar in Communications

Group study of current topics related to communication.

15.278 Seminar in Communications

Prereq: None G (Spring) Not offered regularly; consult department Units arranged [P/D/F] Can be repeated for credit.

15.279 Management Communication for Undergraduates

Prereq: None U (Spring) 3-0-9 units

Develops writing, speaking, teamwork, interpersonal, social media, and cross-cultural communication skills necessary for management professionals. Assignments include creating persuasive memos, writing in response to cases, and giving presentations. Major project involves the production of a team report and presentation on a topic of interest to a professional audience.

15.280 Communication for Leaders

Prereq: Permission of instructor G (Fall) 3-1-5 units Credit cannot also be received for 15.710

Students develop and polish communication strategies and methods through discussion, examples, and practice. Emphasizes writing and speaking skills necessary for effective leaders. Includes several oral and written assignments which are integrated with other subjects, and with career development activities, when possible. Schedule and curriculum coordinated with Organizational Processes. Mandatory one hour recitation in small groups. Restricted to first-year Sloan graduate students.

N. Hartman, L. Breslow, V. Healy-Tangney, K. Blackburn, M. Kazakoff, J.Yates, B. Shields

15.281 Advanced Leadership Communication

Prereq: 15.279 , 15.280 , 15.284 , or permission of instructor G (Spring) 3-0-6 units

Introduces interactive oral and interpersonal communication skills critical to leaders, including strategies for presenting to a hostile audience, running effective and productive meetings, active listening, and contributing to group decision-making. Includes team-run classes on chosen communication topics, and an individual analysis of leadership qualities and characteristics. Students deliver an oral presentation and an executive summary, both aimed at a business audience.

N. Hartman, K. Blackburn, B. Shields, V. Healy-Tangney

15.282 EnActing Leadership: Shakespeare and Performance

Prereq: None G (Spring) Not offered regularly; consult department 3-0-6 units

Uses Shakespeare to challenge students' views of leadership and provide them with a deeper understanding of their performance as a leader. While performing shortened versions of Shakespeare's plays, students consider the serious questions they raise about the nature of leadership, power, and ambition, and explore their own leadership presence. Uses acting to strengthen speaking ability and personal presence.

15.283 Social Media Management: Persuasion in Networked Culture

Explores how organizations and leaders can maximize the business value of social media platforms. Provides a framework and best practices for social media management, enhances understanding of strategic communication within the social media context, and improves social media communication skills. Assignments include case analysis, weekly content creation, and a final group project on social media strategy and content.

15.284 Strategic Leadership Communication

Prereq: None G (Fall; partial term) 3-0-3 units

Introduces the essentials of how individuals and organizations develop and implement effective communication strategies, focusing on persuasion, audience analysis, communicator credibility, message construction, and delivery. Includes oral presentations and writing assignments with feedback to help students improve their communication effectiveness. Provides instruction to create communication strategies, develop and present clearly organized and powerful presentations, expand personal oral delivery and writing styles, and enhance presentations through effective visual aids. Restricted to Sloan Fellow MBAs.

N. Hartman, L. Breslow

15.285 Sports Strategy and Analytics

Explores how leaders and organizations apply data and analytics to gain a competitive edge in the multibillion-dollar global sports industry. Provides context on the structure and dynamics of the sports industry, discusses best practices in data-driven decision making both on- and off-the-field, and improves students' skills in analyzing and communicating data. Assignments include a decision analysis paper and a final team project in which students apply their skills to solve a problem in sports.

B. Shields, R. Reagans

15.286 Communicating with Data

Prereq: 15.280 , 15.284 , or permission of instructor G (Spring; first half of term) 3-0-3 units Credit cannot also be received for 15.287 , 15.721

Focuses on structuring the oral and visual communication of data. Introduces these concepts and a methodology of self-reflection to help one accelerate his or her life-long learning process. Improves students' ability to develop strategic communications that use data to persuade others to take action. Primary focus is on reducing barriers to action by making data as easy as possible for others to absorb through clear structure, clear design, and clear delivery. Significant time will be devoted to practice. Students give and receive substantial feedback on their work.

M. Kazakoff, A. Mehrotra

15.287 Communication and Persuasion Through Data

Prereq: None G (IAP) 2-0-1 units Credit cannot also be received for 15.286 , 15.721

Focuses on the strategic and tactical use of data to move others to take (the correct) action. Sharpens communication skills via practice and real-world examples. Students spend significant time writing, speaking and designing visuals for a professional audience. Intended for students who expect to communicate quantitative information with non-experts inside and outside of their organizations, as well as students seeking to improve communication skills in general. Restricted to Sloan Master of Business Analytics students.

A. Telio, N. Hartman, B. Shields, L. Breslow

15.288 Tough Conversations: Science, Strategies & Skills for Communicating About & Across Difference

Equips managers with the knowledge and skills to productively navigate conversations about race, gender, and other aspects of social identities at work. Analyzes the structure of difficult conversations, investigates the research on conversational dynamics, and explores strategies for speaking up in organizations. Significant class time is devoted to experiential exercises. Weekly assignments include individual written reflections based on readings and research. For the final project, students write a short case, record a conversation, and assess their work. Restricted to second-year MBA students.

K. Blackburn

15.289 Doctoral Seminar: Communication Skills for Academics

Prereq: Permission of instructor G (Spring) 3-0-3 units

Focuses on the communication skills needed for a career in academia. Topics include preparing and delivering conference papers and job talks, formulating and rehearsing elevator pitches, methods for effective teaching, creating your professional presence on social media, and discussions for conferences. Participants are expected to deliver multiple oral presentations based on their current research and practice effective teaching methods. Priority to Sloan doctoral students who have completed their first year.

Work and Organizational Studies

15.301 people, teams, and organizations laboratory.

Prereq: None U (Fall) 3-3-9 units. Institute LAB

Surveys individual and social psychology and organization theory interpreted in the context of the managerial environment. Laboratory involves projects of an applied nature in behavioral science. Emphasizes use of behavioral science research methods to test hypotheses concerning decision-making, group behavior, and organizational behavior. Instruction and practice in communication includes report writing, team projects, and oral and visual presentation. 12 units may be applied to the General Institute Laboratory Requirement. Shares lectures with 15.310 .

15.302[J] Power: Interpersonal, Organizational, and Global Dimensions

Same subject as 11.045[J] , 17.045[J] , 21A.127[J] Subject meets with 21A.129 Prereq: None Acad Year 2023-2024: Not offered Acad Year 2024-2025: U (Spring) 3-0-9 units. HASS-S

See description under subject 21A.127[J] .

15.304 Being Effective: Power and Influence

Discusses how to map power and interest patterns in organizations, how to understand your own interests and objectives, and how to operate effectively in organizational environments. Provides frameworks as well as a range of practical tools to address these goals. Utilizes a wide range of material drawn from the business and public worlds.

P. Osterman

15.305 Leadership and Management

Prereq: Permission of instructor U (Fall, Spring) 3-0-6 units

Explores leadership from the military perspective taught by professors of military science from the Army, Navy and Air Force. Survey of basic principles for successfully managing and leading people, particularly in public service and the military. Develops skills in topics such as oral and written communication techniques, planning, team building, motivation, ethics, decision-making, and managing change. Relies heavily on interactive experiential classes with case studies, student presentations, role plays, and discussion. Also appropriate for non-management science majors.

P. Francik, J. Huck, B. Collins

15.308 Leading the Way: Interpersonal and Organizational Strategies for Advancing DE&I

Prereq: None Acad Year 2023-2024: Not offered Acad Year 2024-2025: G (Spring) 3-0-6 units

Introduces and analyzes competing explanations and claims about inequality within US workplaces; reviews evidence regarding the effectiveness of diversity, equity, and inclusion initiatives and policies; and investigates how race, gender, and other identities may affect employees' experience in work organizations. Significant class time is devoted to experiential exercises to develop skills for interacting effectively with diverse others, managing teams and critical conversations, and advocating thoughtfully for change. Weekly assignments include written reflections based on readings and social science research. Restricted to Sloan MBA students.

K. Blackburn, E. Kelly

15.309 Leadership Lessons Learned from the Military

Prereq: None G (IAP) 2-1-3 units

Focuses on the nature of military leadership and its relevance to the civilian professional and organizational experience. Draws on expertise among personnel in the ROTC units at MIT, the service experience of veterans in various MIT Sloan programs, invited keynote speakers, and Sloan faculty.

15.310 People, Teams, and Organizations

Prereq: None G (Fall) 2-1-6 units

Surveys social psychology and organization theory as interpreted in the context of the managerial environment. Covers a number of diverse topics, including motivation and reward systems, social influence, groups and teams, leadership, power, organizational design and culture, and networks and communication patterns. Similar in content to 15.311 ; shares lectures with 15.301 . Preference to non-Course 15 students.

J. Carroll, P. Osterman

15.311 Organizational Processes

Prereq: Permission of instructor G (Fall) 2-3-4 units

Enhances students' ability to take effective action in complex organizational settings by providing the analytic tools needed to analyze, manage, and lead the organizations of the future. Emphasizes the importance of the organizational context in influencing which individual styles and skills are effective. Employs a wide variety of learning tools, from experiential learning to the more conventional discussion of written cases. Centers on three complementary perspectives on organizations: the structural design, political, and cultural "lenses" on organizations. Major team project to analyze an actual organizational change, with oral and written reports. Restricted to first-year Sloan master's students.

15.312 Organizational Processes for Business Analytics

Prereq: None U (Fall) 3-0-9 units

Develops appreciation for organizational dynamics and competence in navigating social networks, working in a team, demystifying rewards and incentives, leveraging the crowd, understanding change initiatives, and making sound decisions. Provides instruction and practice in written and oral communication through presentations, and interpersonal and group exercises.

R. Reagans, L. Breslow

15.316 Building and Leading Effective Teams

Prereq: None G (Summer) 3-1-0 units

An intensive one-week introduction to leadership, teams, and learning communities. Introduction of concepts and use of a variety of experiential exercises to develop individual and team skills and develop supportive relationships within the Fellows class. Restricted to first-year Leaders for Global Operations students.

J. S. Carroll

15.317 Leadership and Organizational Change

Prereq: None G (Spring, Summer; second half of term) Units arranged Can be repeated for credit.

Course spans the entire two-year Leaders for Global Operations (LGO) program, with a focus on leadership that blends theory and practice. During their first summer in the program, students reflect on exemplary leaders' stories in cases, the arts, journalism, philosophy, and social science, and evaluate their own previous leadership experience. During the succeeding four semesters, they apply the lessons they have learned in class to their off-campus internship and other activities at Sloan, and intensively review that experience as they reach the end of the program. Classes take the form of moderated discussion, with the expectation that students will participate fully in each session; students also submit short, written deliverables throughout the program.

15.318 Discovering Your Leadership Signature

Prereq: None G (Fall; second half of term) 3-0-6 units Credit cannot also be received for 15.739

Provides the tools to better understand an individual's unique way of leading, i.e., one's leadership signature. Involves intensive self-assessment and interactive exercises aimed to identify the leadership patterns that help and hinder one's ability to make change happen. Focuses on identifying core leadership strengths and weaknesses, immunity to change, and developing one's leadership signature. Explores alternative leadership approaches in order to determine capabilities to emulate and plan changes in behavior moving forward. Readings from psychology, family systems, developmental psychology, and leadership literature augment analyses.

15.320 Strategic Organizational Design

Focuses on effective organizational design in both traditional and innovative organizations, with special emphasis on innovative organizational forms that take advantage of new information technologies. Topics include when to use functional, divisional, or matrix organizations; how IT creates new organizational possibilities; examples of innovative organizational possibilities, such as democratic decision-making, crowd-based organizations, and other forms of collective intelligence. Team projects include inventing new possibilities for real organizations.

15.321 Improvisational Leadership: In-the-Moment Leadership Skills

Prereq: None G (Fall, Spring; second half of term) 3-0-3 units

Designed to provide a practical understanding of the skills of improvisation and their application to leadership. Examines the essential elements of successful leadership, including creativity, emotional intelligence, adaptability, and the capacity to develop effective influence strategies and build strong teams. Cultivates students' ability to respond to the unexpected with confidence and agility. Each class offers a highly experiential learning laboratory where students practice a wide variety of improvised business scenarios, interactive exercises, and simulations.

D. Giardella

15.322 Leading Organizations

Prereq: None G (Fall; first half of term) Not offered regularly; consult department 3-0-3 units Credit cannot also be received for 15.716

Analyzes through lectures, discussions, and class exercises, the human processes underlying organizational behavior. Restricted to Sloan Fellow MBAs.

J. Van Maanen

15.323 Leading from the Middle

Prereq: None G (Spring; first half of term) 2-0-1 units

Students and Leaders for Global Operations (LGO) alumni develop and present case studies that focus on the challenges and opportunities of leading from positions in the middle of an organization. Restricted to Leaders for Global Operations program students.

15.325 Leadership in Disrupted Industries

Prereq: None G (Fall; second half of term) 2-0-1 units

Exposes students to accomplished leaders facing disruptive forces that are changing their industries, and explores leadership strategies to navigate disruption from the perspective of top management. Student panels prepare a detailed set of questions for each leader based on their organization and industry context. All students write two short papers — the first evaluating the leadership of a prior manager and the second explaining the planned changes to their own leadership approach.

Consult R. Pozen, B. Shields

15.326 Seminar in Leadership II

Prereq: 15.325 G (Spring; second half of term) 2-0-1 units

Continuation of 15.325 , providing students opportunities to meet senior executives of private and public institutions, including current or former policymakers, and discuss challenges associated with the management of country and global affairs. Restricted to Sloan Fellow MBAs.

15.328 Seminar in Organizational Studies

Prereq: None G (Summer) Not offered regularly; consult department Units arranged Can be repeated for credit.

Group study of current topics related to organizational studies.

Consult D. G. Ancona

15.329 Seminar in Organizational Studies

15.335 organizations lab: leading with impact.

Experiential study of the organizational change process within the larger context of the community in which the organization resides. Exposes students to leadership exemplars in the for-profit, nonprofit, and public sectors. Examines cases of complex social dynamics in areas of housing, employment, credit, education, and criminal justice. Centers around a semester-long action learning project in which students assist a local nonprofit organization in achieving sustainable social justice objectives. Through a project identified with the nonprofit leaders, students apply their knowledge of systems and their practice of leadership to recommend an operational change that advances the mission of the organization.

N. Repenning, B. Akinc

15.336 ID Lab: Individual Development and Interpersonal Dynamics

Prereq: Permission of instructor G (Spring) 3-0-6 units

Introduces specific frameworks and tools to help students refine the relevant leadership skills of self-reflection, inquiry, listening, perspective-taking, and strategic expression. Includes weekly class sessions, written reflections, interactive exercises, and professional executive coaching to enable students to clarify and articulate important aspects of who they are and how they impact others. Includes oral presentations and writing assignments focusing heavily on the cycle of practicing, reflecting, and revising. Students receive extensive, personalized feedback from teaching team, coaches, and classmates. Readings from developmental psychology and leadership literature augment analyses.

T. Purinton

15.337 Teams Lab

Prereq: Permission of instructor G (Fall) 3-0-6 units

Develops tools, perspectives, and skills needed to be an effective team member and team leader. Begins with frameworks and theories that enable participants to reflect on how they contribute to both negative and positive team outcomes. Later sessions cultivate the self-awareness and skills required to improve team effectiveness as both a participant and a leader. Students must be involved in a co-curricular team activity, such as leading a student club or organizing a conference, to enroll.

N. Repenning

15.338 Leadership and Teams Lab

Prereq: None G (Summer) 3-0-3 units

Required subject spanning the Sloan Fellows summer term. Introduces foundational leadership frameworks by weaving theory, assignments, living cases, and one-one-one and team coaching together. Building on the observation that conflict is the feedstock of innovation for both teams and organizations, frames the core challenge of leadership as leveraging the benefits of competing perspectives without falling prey to the negative interpersonal dynamics that such differences can catalyze. Offers several tools to develop increased self-awareness and emotional self-regulation to constructively uncover conflict and leverage diversity. Employs a variety of learning modalities, including experiential learning, executive coaching, and facilitated team reflections. Restricted to Sloan Fellow MBA students.

15.339 Developing Leadership Capabilities

Prereq: Permission of instructor G (IAP) 2-0-4 units

Focuses on the key leadership capabilities needed in today's increasingly decentralized organizations: sensemaking, relating, visioning, and inventing. Through conceptual discussions, small group exercises, and self-reflection in a workshop setting, students examine a model of leadership, assess their leadership strengths and weaknesses, articulate their values and aspirations, and practice developing leadership capabilities in interaction with class members. Admission by application.

T. Malone, W. Orlikowski

15.341 Individuals, Groups, and Organizations

Prereq: Permission of instructor Acad Year 2023-2024: Not offered Acad Year 2024-2025: G (Spring) 3-0-9 units

Covers classic and contemporary theories and research related to individuals, groups, and organizations. Designed primarily for doctoral students in the Sloan School of Management who wish to familiarize themselves with research by psychologists, sociologists, and management scholars in the area commonly known as micro organizational behavior. Topics may include motivation, decision making, negotiation, power, influence, group dynamics, and leadership.

15.342 Organizations and Environments

Prereq: Permission of instructor G (Fall) 3-0-9 units

Provides an introduction to research in "organizations and environments," an interdisciplinary domain of inquiry drawing primarily from sociology, and secondarily from economics, psychology, and political science. Seeks to understand organizational processes and outcomes in the surrounding economic, cultural, and institutional context in which they are situated. Also provides an introduction to the main groups that together form the Behavioral Policy Sciences (BPS) area of MIT/Sloan, including economic sociology, organization studies, work and employment, strategic management, global management, and technology, innovation, and entrepreneurship. Consists of four modules taught by faculty from each of the four BPS groups, as well as integrative sessions taught by the main instructor. Preference to first-year doctoral students in BPS.

15.345 Doctoral Proseminar in Behavioral and Policy Sciences

Prereq: Permission of instructor G (Spring) Not offered regularly; consult department 2-0-4 units Can be repeated for credit.

A professional seminar for doctoral students to report on their research, work on their thesis proposals, and practice their job talks. Also addresses general professional issues such as publishing, searching for jobs, the academic career, etc.

15.347 Doctoral Seminar in Research Methods I

Subject meets with 21A.809 Prereq: Permission of instructor G (Spring) 3-0-9 units

Introduces the process of social research, emphasizing the conceptualization of research choices to ensure validity, relevance, and discovery. Includes research design and techniques of data collection as well as issues in the understanding, analysis, and interpretation of data.

E. Castilla

15.348 Doctoral Seminar in Research Methods II

Prereq: 15.347 or permission of instructor G (Fall) 3-0-6 units

Builds on 15.347 to examine contemporary social research methods in depth. Focuses on making students familiar with the most important quantitative methods (e.g., logit/probit models, models for ordinal and nominal outcomes, count models, event history models).

E. J. Castilla

Technology, Innovation and Entrepreneurship

15.350 managing technological innovation and entrepreneurship.

Focuses on the challenges inherent in attempting to take advantage of both incremental innovation and more radical or breakthrough changes in products, processes and services. Highlights the importance of innovation to both new ventures and to large established firms and explores the organizational, economic and strategic problems that must be tackled to ensure innovation is a long term source of competitive advantage. Discussions and class presentations cover non- technical as well as technology-based innovation. Restricted to MIT Sloan Fellows in Innovation and Global Leadership.

15.351[J] Introduction to Making and Hardware Ventures

Same subject as 2.351[J] Prereq: Permission of instructor G (Spring) 3-0-3 units

Introduces core maker technologies alongside the Disciplined Entrepreneurship framework to form a foundation for creating hardware-based ventures. Fosters an understanding of how to make the abstract concrete and develops competency in rapid prototyping. Includes a large hands-on component that builds skills in the various elements of making. Enrollment limited; application required.

C. Lowell, M. Kenney, M. Culpepper

15.352[J] StartMIT: Workshop for Entrepreneurs and Innovators

Same subject as 6.9302[J] Subject meets with 6.9300 Prereq: None G (IAP) 4-0-2 units

See description under subject 6.9302[J] .

B. Aulet,  A. Chandrakasan, C. Chase

15.356 Lead User Innovation Methods

Prereq: None G (Spring; second half of term) 4-0-5 units

Explains both the theory behind lead user innovation development methods, and how they can be profitably used in practice. Covers lead user searches, internet-based crowdsourcing, design by customers using innovation toolkits, and more. Includes visits from industry experts who present cases that illustrate the art required to implement each method.

E. A. von Hippel

15.357 Economics of Ideas, Innovation and Entrepreneurship

Advanced subject in the economics of technological change. Covers the micro-foundations of the knowledge production function (including the role of creativity and the impact of Science), the impact of institutions and strategic interaction on the commercialization of new technology, and the diffusion and welfare impact of ideas and technology. Includes a mixture and explicit comparisons of both theoretical and empirical research. Students should have adequate preparation in microeconomic theory and econometrics. Primarily for PhD students.

P. Azoulay, S. Stern

15.358 Platform Strategy and Entrepreneurship

Prereq: 15.900 or 15.902 Acad Year 2023-2024: Not offered Acad Year 2024-2025: G (Spring; second half of term) 3-0-3 units

Considers key strategic concepts and ideas useful for managers and entrepreneurs, especially the distinction between a product versus a platform strategy as well as product versus a service strategy. Takes a relatively deep dive into various hardware and software technologies that have stimulated new platforms and business models as well as applications and startup companies in a variety of fields. Topics may include enterprise Software as a Service, blockchain, Gig/sharing economy ventures, AI/ML in self-driving technology and other enterprise applications, cybersecurity, Industrial Internet of Things, and Quantum Computing. Classes consist of lectures, case studies, guest lectures, videos, and weekly student team presentations as well as final papers.

M. Cusumano

15.359[J] Engineering Innovation: Global Security Systems

Same subject as 6.9160[J] Prereq: None U (Spring) 3-3-6 units

Provides students with the perspective of a chief technology officer and systems engineer in innovation-focused organizations such as the Departments of Defense, DARPA, NATO, and the UN. Discusses technological and innovation measures taken to ensure mutual safety and security globally. Outlines the journey from ideation to impact, revolving around complex engineering design challenges. Involves iterative testing and refinement of solutions, focusing on scalability in operational environments. Emphasis is placed on efficient team-building and leadership within the innovation landscape and is supported by stakeholders. Examines stakeholders' roles in successfully deploying solutions. Develops skills to organize technical thoughts, write impactful reports, and present convincing arguments effectively. Equips students with the ability to navigate design challenges, adjust to engineering frameworks, and manage use case variations.

F. Murray, V. Bulovic, G. Keselman

15.360 Entrepreneurship & Innovation Proseminar

Prereq: Permission of instructor Acad Year 2023-2024: Not offered Acad Year 2024-2025: G (Fall) 2-0-1 units

Provides an overview of entrepreneurial knowledge for founding, developing and growing new enterprises, primarily focused on companies with a technological base. Aimed at students who are enthusiastic about possible careers as entrepreneurs or "joiners" in early-stage firms. Weekly lectures and discussions by academic and practitioner faculty in the MIT Entrepreneurship Program and by leaders of related MIT entrepreneurship activities, e.g., Trust Center for MIT Entrepreneurship, Deshpande Center, and Venture Mentoring Service, as well as by successful entrepreneurs and venture capitalists. Includes student Open Mic presentations and discussion of new business ideas, as well as project study of existing young companies. Enrollment in Silicon Valley Study Tour for the following spring term is required. No listeners; restricted to students in Sloan Entrepreneurship and Innovation (E&I) MBA track.

S. Stern, B. Aulet

15.361 Executing Strategy for Results

Prereq: None G (Fall; first half of term) Not offered regularly; consult department 3-0-6 units Credit cannot also be received for 15.711

Provides students an alternative to the mechanistic view of strategy execution that reframes an organization as a complex network of teams continuously adjusting to market conditions and to other teams. Introduces the Flexible Execution Model, consisting of seven elements; strategy for execution, shared context, goals 2.0, resource re-allocation, distributed leaders, top leaders, and execution culture that together shape how well an organization executes its strategy. Discusses a set of practical tools, based on research and field-tested, that help leaders achieve their organizations' strategic priorities. Explores novel ways to use data including surveys, Glassdoor reviews, and other sources to measure strategy execution and identify what is and is not working. Preference given to Master of Business Administration students.

15.363[J] Strategic Decision Making in Life Science Ventures

Same subject as HST.971[J] Prereq: None G (Spring) 3-0-6 units

Surveys key strategic decisions faced by managers, investors and scientists at each stage in the value chain of the life science industry. Aims to develop students' ability to understand and effectively assess these strategic challenges. Focuses on the biotech sector, with additional examples from the digital health and precision medicine industries. Includes case studies, analytical models, and detailed quantitative analysis. Intended for students interested in building a life science company or working in the sector as a manager, consultant, analyst, or investor. Provides analytical background to the industry for biological and biomedical scientists, engineers and physicians with an interest in understanding the commercial dynamics of the life sciences or the commercial potential of their research.

J. Fleming, A. Zarur

15.364 Innovation Ecosystems for Regional Entrepreneurship Acceleration Leaders (iEco4REAL)

Prereq: None G (Spring) 3-0-6 units Credit cannot also be received for 15.3641

Aimed at students seeking an action-oriented understanding of innovation ecosystems, such as Silicon Valley, Greater Boston, Singapore, Lagos, and other sites across the globe. Provides a framework for analyzing these critical innovation economies from the perspective of key stakeholders: large corporations, governments, universities, entrepreneurs, and risk capital providers. Outlines the design and delivery of policies and programs (e.g., hackathons, accelerators, prizes, tax policy, immigration policy) intended to accelerate innovation-driven entrepreneurship in an ecosystem. Focused on how these programs can be used to drive corporate innovation and entrepreneurship and build stronger cultures of innovation. Meets with 15.3641 when offered concurrently. Expectations and evaluation criteria differ for students taking graduate version; consult syllabus or instructor for specific details.

P. Budden, F. Murray

15.3641 Innovation Ecosystems for Regional Entrepreneurship Acceleration Leaders (iEco4REAL)

Prereq: None U (Spring) Not offered regularly; consult department 3-0-6 units Credit cannot also be received for 15.364

Aimed at students seeking an action-oriented understanding of innovation ecosystems, such as Silicon Valley, Greater Boston, Singapore, Lagos, and other sites across the globe. Provides a framework for analyzing these critical innovation economies from the perspective of key stakeholders: large corporations, governments, universities, entrepreneurs, and risk capital providers. Outlines the design and delivery of policies and programs (e.g., hackathons, accelerators, prizes, tax policy, immigration policy) intended to accelerate innovation-driven entrepreneurship in an ecosystem. Focuses on how these programs can be used to drive corporate innovation and entrepreneurship and build stronger cultures of innovation. Meets with 15.364 when offered concurrently. Expectations and evaluation criteria differ for students taking graduate version; consult syllabus or instructor for specific details.

15.365 Overcoming Obstacles to Entrepreneurial Success

Prereq: 15.360 , 15.378 , 15.390 , 15.399 , or permission of instructor G (Fall) 3-0-6 units

Identifying, understanding, and coping with the key problems from founding a firm throughout its full life cycle to success. Each week a successful MIT-alum entrepreneur forwards a brief on their major issue that had to be overcome. Guest speakers include prominent entrepreneurial role models. Student teams propose solutions for class discussion followed by the speaker's response and what they actually did and why. The speaker then relates the rest of the firm's development up to the present. Class begins with the research on the day's focus and ends with student teams creating one-page take-aways. Delta v, MIT Fuse, MIT 100K Finals, Sandbox or the EMBA Program are also accepted prereqs. Exemplifies the preferred dual-track entrepreneurial education, integrating academic research and practitioner experience.

E. Roberts, I. Sayeed

15.366 Climate & Energy Ventures

Project-based approach to innovation and venture creation in the energy sector and sectors that can mitigate climate change. Explores how innovation and entrepreneurial concepts apply (or do not apply) to the significant opportunities in these industries. Working in teams, students create new ventures specifically for the energy sector or to address climate change. Lectures guide teams through key elements of their projects. 15.390 is recommended as a prerequisite.

T. Hynes, F. O'Sullivan, L. Wayman

15.367[J] Healthcare Ventures

Same subject as HST.978[J] Prereq: None G (Spring) 3-0-9 units

See description under subject HST.978[J] .

M. Gray, Z. Chu

15.368 Disciplined Entrepreneurship Lab

Prereq: None G (IAP) 1-0-5 units

Project-based course offering the opportunity to experience startup life in a low stakes environment while contributing strategic value to early-stage ventures. Students secure a startup project of their choice or work with a startup pre-selected by the action learning team. Startups represent a range of industries and, while concentrated in the Boston area, may also come from other parts of the US. Students cannot drop course once project commences.

15.369 Entrepreneurship in Organizations

Addresses the practical steps that can be taken to make existing organizations (corporations, non-profits, government, etc.) become more entrepreneurial. Uses a systematic approach to integrate lectures, exercises, guest speakers, and a team project. Application required.

S. Siegel, S. Neal, Y. Kuo

15.371[J] Innovation Teams

Same subject as 2.907[J] , 10.807[J] Prereq: None G (Fall) 4-4-4 units

Introduces skills and capabilities for real-world problem solving to take technology from lab to societal impact: technical and functional exploration, opportunity discovery, market understanding, value economics, scale-up, intellectual property, and communicating/working for impact across disciplines. Students work in multidisciplinary teams formed around MIT research breakthroughs, with extensive in-class coaching and guidance from faculty, lab members, and select mentors. Follows a structured approach to innovating in which everything is a variable and the product, technology, and opportunities for new ventures can be seen as an act of synthesis. Teams gather evidence that permits a fact-based iteration across multiple application domains, markets, functionalities, technologies, and products, leading to a recommendation that maps a space of opportunity and includes actionable next steps to evolve the market and technology.

L. Perez-Breva, D. Hart

15.373[J] Venture Engineering

Same subject as 2.912[J] , 3.085[J] Prereq: None U (Spring) 3-0-9 units

Provides an integrated approach to the development and growth of new innovative ventures. Intended for students who seek to leverage their engineering and science background through innovation-driven entrepreneurship. Emphasizes the concept that innovation-driven entrepreneurs must make a set of interdependent choices under conditions of high uncertainty, and demonstrates that venture engineering involves reducing uncertainty through a structured process of experimental learning and staged commitments. Provides deep understanding of the core technical, customer, and strategic choices and challenges facing start-up innovators, and a synthetic framework for the development and implementation of ventures in dynamic environments.

S. Stern, E. Fitzgerald

15.374 Organizing for Innovation

Builds an understanding of what it means for an organization to 'manage' innovation. Subject has four parts: the sources of innovation (from the research lab, to local innovation ecosystems, to open innovation); motivating technical or/and creative professionals (incentives, structure, and culture); organizing the innovation process (from the study product development processes to R&D portfolios to building an experimental capacity); and emphasizing the connection between the management of innovation and competitive strategy.

15.375[J] Global Ventures

Same subject as EC.731[J] , MAS.665[J] Prereq: Permission of instructor G (Fall) 3-0-9 units

See description under subject MAS.665[J] .

J. Bonsen, A. Pentland, R. Raskar

15.376[J] AI for Impact: Solving Societal-Scale Problems

Same subject as MAS.664[J] Prereq: None G (Spring) 3-0-6 units Can be repeated for credit.

See description under subject MAS.664[J] .

R. Rasksar, J. Bonsen A. Pentland

15.378 Building an Entrepreneurial Venture: Advanced Tools and Techniques

Prereq: Permission of instructor G (Fall, Spring) 3-1-8 units Credit cannot also be received for 15.3781

Intensive, project-based subject intended for startup teams already working on building a new, high-impact venture. Applies advanced entrepreneurial techniques to build and iterate a venture in a time-compressed manner. Includes weekly coaching sessions with instructors and peers, as well as highly interactive and customized sessions that provide practical, in-depth coverage on key topics in entrepreneurship. Topics include venture creation, primary market research, product development, market adoption, team and culture, and scaling processes with constrained resources. Meets with 15.3781 when offered concurrently. Expectations and evaluation criteria differ for students taking graduate version; consult syllabus or instructor for specific details. Application required; consult instructor. No listeners.

15.3781 Building an Entrepreneurial Venture: Advanced Tools and Techniques

Prereq: 15.3901 or permission of instructor U (Spring) Not offered regularly; consult department 3-1-8 units Credit cannot also be received for 15.378

Intensive, project-based subject intended for startup teams already working on building a new, high-impact venture. Applies advanced entrepreneurial techniques to build and iterate a venture in a time-compressed manner. Includes weekly coaching sessions with instructors and peers, as well as highly interactive and customized sessions that provide practical, in-depth coverage on key topics in entrepreneurship. Topics include venture creation, primary market research, product development, market adoption, team and culture, and scaling processes with constrained resources. Meets with 15.378 when offered concurrently. Expectations and evaluation criteria differ for students taking graduate version; consult syllabus or instructor for specific details. Application required; consult instructor. No listeners.

C. Chase, K. Arnold, J. Baum

15.379[J] Mobility Ventures: Driving Innovation in Transportation Systems

Same subject as 11.529[J] Subject meets with 11.029[J] , 15.3791[J] Prereq: None G (Fall) 3-3-6 units

See description under subject 11.529[J] .

J. Zhao, J. Moavenzadeh, J. Larios Berlin

15.3791[J] Mobility Ventures: Driving Innovation in Transportation Systems

Same subject as 11.029[J] Subject meets with 11.529[J] , 15.379[J] Prereq: None U (Fall) 3-3-6 units

See description under subject 11.029[J] . Preference to juniors and seniors.

15.382 Managing Innovation in Financial Institutions

Provides a practical guide to managing financial service firms, such as mutual funds, sovereign funds, banks, insurance companies, and pension plans. Focuses on strategies for adopting innovative products and services in responding to unmet financial needs and disrupting existing parts of the financial sector.

15.383 Corporate Boards: Functions and Responsibilities

Provides a practical guide to the functions and responsibilities of directors on boards of public and private companies. Focuses on the activities of the audit, compensation, and nominating committees, as well as the duties of directors in battles for control.

15.385 Innovating for Impact

Prereq: None G (Fall; first half of term) 3-0-3 units

Provides a structured approach to innovation and entrepreneurship that creates business value while solving social and environmental problems. Covers physical domains of sustainability, e.g., waste, water, food, energy, and mobility, as well as social and human capital domains, such as health and education. Students explore case studies of critical decisions made in the early stages of an enterprise that help determine its impact. Considers perspective and tools applicable to the startup context or to new lines of business in existing enterprises.

15.386 Leading in Ambiguity: Steering Through Strategic Inflection Points

Develops the skills required to think and lead in complex, ambiguous, multi-dimensional situations. Senior leaders from a wide variety of organizations, both public and private, profit and non-profit, large and small, discuss complex real-life situations. Students are frequently asked to take a position about how they might approach each situation, perhaps using management frameworks they have studied previously. Executives then discuss what they did, or are doing, and reflect on their own journeys as enterprise-level leaders. Assignments ask students to reflect on how they have and will show up as leaders in a variety of contexts. Restricted to Sloan graduate students. No listeners or guests.

15.387 Entrepreneurial Sales

Prereq: 15.390 or read the book Disciplined Entrepreneurship G (Fall, Spring) 3-0-9 units

Instruction in the fundamental Go-to-Market motions and how to identify, build and execute on the right motion(s) for technology startups. This includes not only building out a sales organization, but also the underlying processes and sales fundamentals required to measure results and sustain competitive advantage. This course is highly relevant to anyone interested in building a business or better understanding how to drive revenue from founding to scale.

J. Baum, A. Blake, M. Faingezicht, E. Skala

15.388 Venture Creation Tactics

Prereq: 15.390 and permission of instructor G (Fall, Spring) 3-1-8 units

Advanced, intensive, project-based subject intended for solo-founders or startup teams already working on building a new, high-impact venture, with a refined business plan. Supports students in their development of data to derisk the opportunity of pursuing a new venture full-time for founders, investors, and new recruits. This lab-style class promotes rapid experimentation by connecting the dots from the frameworks, concepts, and first principles covered in the introductory entrepreneurship subjects and guides students on how to tactically apply them in real-world situations. Topics include: advanced early go-to-market, enhanced target customer profile and persona development, digital advertising, outbound sales, UX design, rapid prototyping, recruiting early team members, and executing a fundraising plan. Application required; consult instructor. No listeners.

15.389 Global Entrepreneurship Lab

Experiential study of the climate for innovation and determinants of entrepreneurial success. Students work in teams of four with the top management of a company to address a real world business challenge, gaining insight as to how companies build, run, and scale a new enterprise. Focuses primarily on start-ups operating in emerging markets. Restricted to graduate students.

S. Johnson, M. Jester

15.390 New Enterprises

Prereq: None G (Fall, Spring) 2-2-8 units Credit cannot also be received for 15.3901

Covers the process of identifying and quantifying market opportunities, then conceptualizing, planning, and starting a new, technology-based enterprise. Topics include opportunity assessment, the value proposition, the entrepreneur, legal issues, entrepreneurial ethics, the business plan, the founding team, seeking customers and raising funds. Students develop detailed business plans for a start-up. Intended for students who want to start their own business, further develop an existing business, be a member of a management team in a new enterprise, or better understand the entrepreneur and the entrepreneurial process. Meets with 15.3901 when offered concurrently.

B. Aulet, P. Cheek

15.3901 New Enterprises

Prereq: None U (Fall, Spring) 2-2-8 units Credit cannot also be received for 15.390

Covers the process of identifying and quantifying market opportunities, then conceptualizing, planning, and starting a new, technology-based enterprise. Topics include opportunity assessment, the value proposition, the entrepreneur, legal issues, entrepreneurial ethics, the business plan, the founding team, seeking customers, and raising funds. Students develop detailed business plans for a start-up. Intended for students who want to start their own business, further develop an existing business, be a member of a management team in a new enterprise, or better understand the entrepreneur and the entrepreneurial process. Meets with 15.390 when offered concurrently. Students taking graduate version complete additional assignments.

15.392 Scaling Entrepreneurial Ventures

Prereq: 10.807[J] or 15.390 G (Fall; second half of term) 3-0-3 units

Surveys the personal, institutional and operational challenges involved in scaling an entrepreneurial venture. Discusses both effective and ineffective solutions. Addresses topics such as leadership, culture, operations, governance, and human resources. Includes case studies and guest speakers.

E. Cohen, B. Halligan, J. Larios Berlin

15.393 The Nuts and Bolts of New Ventures

Prereq: None G (IAP) 1-0-2 units

Designed to foster an understanding of how to start a new venture (for-profit and social/development). Details the process from an idea's inception to the development of a successful new venture to deliver products and services enabled by the idea. Explores customer identification, the business/economic models, financial projections, legal and operational issues, and financing alternatives and sources. All sessions taught by persons who have actually launched or have been involved in successful ventures.

15.394 Entrepreneurial Founding and Teams

Prereq: None G (Fall, Spring) 3-0-6 units Credit cannot also be received for 15.3941

Explores key organizational and strategic decisions in founding and building a new venture. Through a series of cases, readings, and activities, students examine the trade-offs and consequences of early founder decisions: whom to include in the founding team, how to allocate equity among co-founders, how to determine founder roles, how to hire and motivate early-employees, and whether to involve external investors. Aims to equip students with tools and frameworks to help them understand the implications of early decisions, and to build enduring resources that enable the venture to execute even if the original plan changes substantially. Meets with 15.3941 when offered concurrently. Expectations and evaluation criteria differ for students taking graduate version; consult syllabus or instructor for specific details.

K. Hickey, E. Scott

15.3941 Entrepreneurial Founding and Teams

Prereq: None U (Spring) 3-0-6 units Credit cannot also be received for 15.394

Explores key organizational and strategic decisions in founding and building a new venture. Through a series of cases, readings, and activities, students examine the trade-offs and consequences of early founder decisions: whom to include in the founding team, how to allocate equity among co-founders, how to determine founder roles, how to hire and motivate early-employees, and whether to involve external investors. Aims to equip students with tools and frameworks to help them understand the implications of early decisions, and to build enduring resources that enable the venture to execute even if the original plan changes substantially. Meets with 15.394 when offered concurrently. Expectations and evaluation criteria differ for students taking graduate version; consult syllabus or instructor for specific details.

15.396 Seminar in Entrepreneurship

Prereq: None G (Spring) Not offered regularly; consult department Units arranged

Group study of current topics related to entrepreneurship.

15.397 Seminar in Entrepreneurship

Prereq: None G (Fall) Not offered regularly; consult department Units arranged Can be repeated for credit.

Group study of current topics related to high-tech entrepreneurship.

15.398 Corporations at the Crossroads: Leading an Organization Through Change & Challenge

Prereq: None G (Fall, Spring) 2-0-4 units

Focuses on the CEO and other analogous leadership roles such as co-founder, chairman of the board, etc. Provides a unique opportunity for students to interact with some of the world's leading organizational leaders who are invited to participate in each class. The guest speakers offer advice and answer questions related to issues in management, strategy, and leadership, and the fulfillment experienced via their role and responsibilities.

D. Schmittlein, S. Hockfield

15.399 Entrepreneurship Lab

Prereq: None G (Fall, Spring) 2-9-1 units Credit cannot also be received for 15.3991

Project-based subject, in which teams of students from MIT and surrounding colleges work with startups on problems of strategic importance to the venture. Provides an introduction to entrepreneurship, and the action learning component allows students to apply their academic knowledge to the problems faced by entrepreneurial firms. Popular sectors include software, hardware, robotics, clean technology, and life sciences. Meets with 15.3991 when offered concurrently. Expectations and evaluation criteria differ for students taking graduate version; consult syllabus or instructor for specific details.

K. Hickey, D. Patel, K. Boucher

15.3991 Entrepreneurship Lab

Prereq: None U (Spring) Not offered regularly; consult department 2-9-1 units Credit cannot also be received for 15.399

Project-based subject, in which teams of students from MIT and surrounding colleges work with startups on problems of strategic importance to the venture. Lectures provide an introduction to entrepreneurship, and the action learning component allows students to apply their academic knowledge to the problems faced by entrepreneurial firms. Popular sectors include software, hardware, robotics, clean technology, and life sciences. Meets with 15.399 when offered concurrently. Expectations and evaluation criteria differ for students taking graduate version; consult syllabus or instructor for specific details.

15.401 Managerial Finance

Prereq: None G (Fall, Spring) 4-0-5 units

Introduction to finance from the perspective of business people and finance professionals. Designed to build effective decision-making skills based on sound financial knowledge, focusing on areas such as day-to-day operational issues and management, launching a startup, or negotiating option bonuses. Provides a firm grounding in the modern financial analysis underlying any decision, through three core themes: determining the value of a project, deciding how to finance a project, and managing its risk. Students also hone their ability to negotiate skillfully and speak intelligently about finance. Meets with 15.417 when offered concurrently. Expectations and evaluation criteria differ for students taking graduate version; consult syllabus or instructor for specific details. Some sections are restricted to graduate students only without the permission of the instructor. See syllabus url for further details.

L. Schmidt, L. Mota, E. Lazarus, T. Choukhmane

15.402 Corporate Finance

Prereq: 15.401 G (Fall, Spring) 3-0-6 units Credit cannot also be received for 15.418

Introduction to corporate finance which focuses on financing a firm through turbulence, for innovation, and for growth. Primarily uses case studies to introduce financial analytical tools needed to make real-world value-enhancing business decisions across many industries: how to decide which projects to invest in, how to finance those investments, and how to manage the cash flows of the firm. Meets with 15.418 when offered concurrently.

P. Asquith, M. Farboodi, C. Palmer

15.403 Introduction to the Practice of Finance

Prereq: None G (Fall, Spring) 2-0-1 units

Explores various career paths within the finance industry, from private equity to public policy, FinTech to social impact, investment banking to investment management, corporate finance to venture capital. Students engage with industry professionals about the challenges they face and how their part of the industry is changing. They also network with peers to discover the challenges and rewards associated with various careers, and explore how coursework connects with industry practice. Restricted to first year MBA students in the Finance Track.

T. Bertsekas

15.410 Finance Ethics & Regulation

Prereq: None G (Fall) 2-0-1 units

Explores a range of ethical issues and challenges that arise in organizations and financial practice. Provides fundamental theories typically used to evaluate ethical dilemmas and references both real situations and hypothetical examples. Highlights the importance of ethical values and their impact on financial regulation for professional practice. Discusses the various factors that influence ethical behavior, such as family, religious values, personal standards and needs, senior leadership behavior, norms among colleagues, organizational expressed and implicit standards, and broader community values. Restricted to students in the Master of Finance Program.

J. Cohen, E. Golding

15.414 Financial Management

Prereq: 15.511 G (Fall) 3-0-6 units Credit cannot also be received for 15.724

Provides a rigorous introduction to corporate finance and capital markets, with an emphasis on applications vital to corporate managers. Exposes students to the major financial decisions made by leaders within a firm and to the ways the firm interacts with investors, with a focus on valuation. Topics include project and company valuation, measuring risk and return, stock pricing, corporate financing policy, the cost of capital, and risk management. Presents a broad overview of both theory and practice. Restricted to Sloan Fellow MBAs.

15.415 Foundations of Modern Finance

Prereq: None G (Summer) 6-0-9 units

Core theory of capital markets and corporate finance. Topics include functions and operations of capital markets, analysis of consumption-investment decisions of investors, valuation theory, financial securities, risk analysis, portfolio theory, pricing models of risky assets, theory of efficient markets, as well as investment, financing and risk management decisions of firms. Provides a theoretical foundation of finance and its applications. Restricted to students in the Master of Finance Program.

L. Kogan, J. Wang

15.417 Laboratory in Investments

Prereq: None U (Spring) 3-3-9 units. Institute LAB

Introduction to finance with a lab component that puts theory into practice. Designed to build effective decision-making skills for business and to develop hands-on analytical techniques that are used by investment managers and traders. Lectures provide a firm grounding in financial analysis--determining the value of a decision, deciding how to finance a project, and assessing its risk. Lab sessions introduce students to modern tools and methods used in financial markets. Through team projects, students develop and test asset-pricing models, forecasting methods, and investment strategies using real-world market data. Provides instruction in writing and speaking from a financial perspective. Meets with 15.401 when offered concurrently.

15.418 Laboratory in Corporate Finance

Prereq: None. Coreq: 15.501 U (Fall) 4-2-9 units. Institute LAB Credit cannot also be received for 15.402

Introduction to corporate finance. Classroom portion primarily uses case studies to introduce financial analytical tools needed to make real-world value-enhancing business decisions across many industries: how to decide which projects to invest in, how to finance those investments, and how to manage the cash flows of the firm. Laboratory sessions are organized around team valuation projects, such as valuation of an oil field and analysis of a potential merger between two public firms proposed by student teams. Projects require extensive use of financial databases. Laboratory sessions also provide instruction on writing and speaking on financial topics. Meets with 15.402 when offered concurrently.

15.425 Corporate Finance

Prereq: 15.415 G (Fall) 3-0-6 units

Foundational, applied course providing instruction in the tools and techniques of corporate financial management from the perspective of the CFO. Case studies present the financial tools needed to make value-enhancing business decisions: how to decide which projects to invest in, how to finance those investments, and how to manage the cash flows of the firm. Topics include capital budgeting, investment decisions and valuation; working capital management, security issues; dividend policy; optimal capital structure; and real options analysis. Restricted to students in the Master of Finance Program.

P. Asquith, L. Weiss

15.426[J] Real Estate Finance and Investment

Same subject as 11.431[J] Prereq: Permission of instructor G (Fall) 4-0-8 units

See description under subject 11.431[J] . Limited to graduate students.

15.429[J] Securitization of Mortgages and Other Assets

Same subject as 11.353[J] Prereq: 11.431[J] , 15.401 , or permission of instructor G (Spring; second half of term) 3-0-3 units

See description under subject 11.353[J] . Limited to 55.

15.431 Entrepreneurial Finance and Venture Capital

Prereq: 15.402 , 15.414 , or 15.415 G (Fall) 3-0-6 units Credit cannot also be received for 15.4311

Examines the elements of entrepreneurial finance, focusing on technology-based start-up ventures, and the early stages of company development. Addresses key questions which challenge all entrepreneurs: how much money can and should be raised; when should it be raised and from whom; what is a reasonable valuation of a company; and how funding, employment contracts and exit decisions should be structured. Aims to prepare students for these decisions, both as entrepreneurs and venture capitalists. In-depth analysis of the structure of the private equity industry. Meets with 15.4311 when offered concurrently. Expectations and evaluation criteria for graduate students will differ from those of undergraduates; consult syllabus or instructor for specific details.

M. Rhodes-Kropf, T. Liu

15.4311 Entrepreneurial Finance and Venture Capital

Prereq: 15.417 U (Fall) 3-0-6 units Credit cannot also be received for 15.431

Examines the elements of entrepreneurial finance, focusing on technology-based start-up ventures, and the early stages of company development. Addresses key questions which challenge all entrepreneurs: how much money can and should be raised; when should it be raised and from whom; what is a reasonable valuation of a company; and how funding, employment contracts and exit decisions should be structured. Aims to prepare students for these decisions, both as entrepreneurs and venture capitalists. In-depth analysis of the structure of the private equity industry. Meets with 15.431 when offered concurrently. Expectations and evaluation criteria for graduate students will differ from those of undergraduates; consult syllabus or instructor for specific details.

15.433 Financial Markets

Subject meets with 15.4331 Prereq: 15.401 , 15.414 , or 15.415 G (Fall) 3-0-6 units

Provides students with a solid understanding of key financial markets and the empirical skills and tools used to support decision making. Employs an in-depth, empirically-driven exploration of markets, including equity, fixed income, and derivatives.  Students apply real-world financial data to test and understand financial models, focusing on key risk factors and risk management concerns in these markets, along with the quantitative tools used to analyze risk. Discusses major institutions and players involved in each market, the evolution of the markets, and issues such as liquidity. Meets with 15.4331 when offered concurrently. Expectations and evaluation criteria differ for students taking graduate version; consult syllabus or instructor for specific details.

15.4331 Financial Markets

Subject meets with 15.433 Prereq: 15.417 U (Fall) 3-0-6 units

Provides students with a solid understanding of key financial markets and the empirical skills and tools used to support decision making. Employs an in-depth, empirically-driven exploration of markets, including equity, fixed income, and derivatives.  Students apply real-world financial data to test and understand financial models, focusing on key risk factors and risk management concerns in these markets, along with the quantitative tools used to analyze risk. Discusses major institutions and players involved in each market, the evolution of the markets, and issues such as liquidity. Meets with 15.433 when offered concurrently. Expectations and evaluation criteria differ for students taking graduate version; consult syllabus or instructor for specific details. Preference to Course 15 students.

15.434 Advanced Corporate Finance

Prereq: 15.402 , 15.414 , or 15.415 G (Fall) 3-0-6 units Credit cannot also be received for 15.4341

Exposes students to advanced application of tools and techniques of corporate financial management. Covers complex valuations, modelling of capital structure decisions, financial restructuring, analysis and modelling of merger transactions, and real options. Additional topics include security design, choice of financial instruments, pricing of convertible bonds and convertible preferred stocks. Also covers project finance and other hybrid financing facilities.

E. Matveyev

15.4341 Advanced Corporate Finance

Prereq: 15.418 U (Fall) 3-0-6 units Credit cannot also be received for 15.434

15.436 Corporate Financial Strategy

Prereq: 15.402 , 15.414 , or 15.415 G (Fall) 3-0-6 units

Case-based subject that bridges theory and practice in corporate finance, exploring the connection between finance and strategy. Covers a range of transactions and financial engineering steps used by companies to pursue their strategic goals, such as carve-outs, spin-offs, and related tools to break up and refocus business assets; special purpose vehicles to raise non-traditional capital and reconfigure corporate assets and operations; diversification as a financial strategy; control setups such as dual class shares; recapitalizations and strategic use of debt leverage; steps to address financial distress and bankruptcy; and more. Students work in study teams to complete homework assignments and prepare for class discussion. Includes project and team case competition.

15.437 Options and Futures Markets

Prereq: 15.401 , 15.414 , or 15.415 G (Spring) 3-0-6 units Credit cannot also be received for 15.4371

Students develop the economic intuition and technical skills necessary to understand how to hedge and price derivatives, and how to use them for investment and risk management purposes. Topics include determinants of forward and futures prices, hedging and synthetic asset creation with futures, uses of options in investment strategies, relation between puts and calls, option valuation using binomial trees and Monte Carlo simulation, advanced hedging techniques, exotic options, and applications to corporate securities and other financial instruments. Meets with 15.4371 when offered concurrently. Expectations and evaluation criteria differ for students taking graduate version; consult syllabus or instructor for specific details.

15.4371 Options and Futures Markets

Prereq: 15.417 U (Spring) 3-0-6 units Credit cannot also be received for 15.437

Students develop the economic intuition and technical skills necessary to understand how to hedge and price derivatives, and how to use them for investment and risk management purposes. Topics include determinants of forward and futures prices, hedging and synthetic asset creation with futures, uses of options in investment strategies, relation between puts and calls, option valuation using binomial trees and Monte Carlo simulation, advanced hedging techniques, exotic options, and applications to corporate securities and other financial instruments. Meets with 15.437 when offered concurrently. Expectations and evaluation criteria differ for students taking graduate version; consult syllabus or instructor for specific details.

15.438 Fixed Income Securities and Derivatives

Prereq: 15.401 , 15.414 , or 15.415 G (Spring) 3-0-6 units Credit cannot also be received for 15.4381

Develops an overall familiarity with fixed income markets and instruments, and a sophisticated understanding of tools used for valuation, and for quantifying, hedging, and speculating on risk. Topics include duration; convexity; modern approaches to modeling the yield curve; interest rate forwards, futures, swaps and options; credit risk and credit derivatives; mortgages; securitization; with applications to recent market and financial policy developments. Meets with 15.4381 when offered concurrently. Expectations and evaluation criteria differ for students taking graduate version; consult syllabus or instructor for specific details.

15.4381 Fixed Income Securities and Derivatives (New)

Prereq: 15.417 U (Spring) 3-0-6 units Credit cannot also be received for 15.438

Develops an overall familiarity with fixed income markets and instruments, and a sophisticated understanding of tools used for valuation, and for quantifying, hedging, and speculating on risk. Topics include duration; convexity; modern approaches to modeling the yield curve; interest rate forwards, futures, swaps and options; credit risk and credit derivatives; mortgages; securitization; with applications to recent market and financial policy developments. Meets with 15.438 when offered concurrently. Expectations and evaluation criteria differ for students taking graduate version; consult syllabus or instructor for specific details.

15.439 Quantitative Investment Management

Prereq: 15.401 , 15.414 , or 15.415 G (Spring) 3-0-6 units

Focuses on implementing successful investment strategies - blending academic finance with the practice of investment management employed by the world's most sophisticated (quantitative) investors. Covers the dynamics of behavioral finance and their effects on markets; investment strategies in current use, and how to build and test your own quantitative strategies; portfolio construction and trading, considering transaction costs, risk management, and efficient trade execution; and current trends and regulatory changes. Includes guest lecturers. Requires an understanding of basic statistical and financial concepts.

15.445 Mergers, Acquisitions, and Private Equity

Prereq: 15.401 , 15.414 , or 15.415 ; Coreq: 15.402 G (Spring) 3-0-6 units Credit cannot also be received for 15.4451

Uses case studies to explore the financial aspects of a wide range of corporate mergers and buyout transactions: classic stock and cash mergers; minority squeeze-outs; company sale process and auction design; hostile takeover law and strategy; the structuring, financing and valuation of leveraged buyouts; the structure, history and returns of private equity buyout funds; publicly traded private equity firms; and more. Includes guest lectures on the practices and tools used in private equity and M&A. Students participate in group work, both in and out of class, including a full-term project involving the mock sale of a company. Meets with 15.4451 when offered concurrently. Expectations and evaluation criteria for graduate students differ from those of undergraduates; consult syllabus or instructor for specific details.

15.4451 Mergers, Acquisitions, and Private Equity

Prereq: 15.417 ; Coreq: 15.418 U (Spring) 3-0-6 units Credit cannot also be received for 15.445

Uses case studies to explore the financial aspects of a wide range of corporate mergers and buyout transactions: classic stock and cash mergers; minority squeeze-outs; company sale process and auction design; hostile takeover law and strategy; the structuring, financing and valuation of leveraged buyouts; the structure, history and returns of private equity buyout funds; publicly traded private equity firms; and more. Includes guest lectures on the practices and tools used in private equity and M&A. Students participate in group work, both in and out of class, including a full-term project involving the mock sale of a company. Meets with 15.445 when offered concurrently. Expectations and evaluation criteria for graduate students will differ from those of undergraduates; consult syllabus or instructor for specific details.

15.446 Public versus Private Capital Markets

Prereq: 15.401 , 15.402 , or permission of instructor G (Spring) 3-0-6 units

Reviews the merits and trade-offs of public versus private capital markets, which have witnessed tremendous growth over the last decade, from a corporate governance standpoint. Specific phenomena affecting public companies, such as shareholder activism and passive investing, are also considered. Uses corporate case studies for extensive analysis and discussion.

P. Novelli 

15.447 International Capital Markets

Prereq: 15.401 , 15.414 , or 15.415 G (Spring) Not offered regularly; consult department 3-0-6 units

Provides a strategic framework for current and future finance leaders - with domestic or multinational startups, established companies, investment banks or asset management firms - for investing and operating in international capital markets.  Includes currency markets; measuring and managing exchange rate exposure; exchange rate determination and forecasting; international financial instruments and institutions; international trading strategies; and the dynamics of global financial crises.  Incorporates real-world events into interactive discussions.

15.448-15.449 Seminar in Finance

Group study of current topics related to finance.

15.450 Analytics of Finance

Prereq: 15.401 , 15.414 , or 15.415 G (Spring) 5-0-7 units Credit cannot also be received for 15.457

Introduces a set of modern analytical tools that specifically target finance applications. Topics include statistical inference, financial time series, event study analysis, and basic machine learning techniques for forecasting. Focuses on how to apply these tools for financial and macro forecasting, quantitative trading, risk management, and fintech innovations such as Kensho's "financial answer machine'' and big-data lending platforms. 15.457 is a more advanced version of 15.450 . Students with solid background in statistics and proficiency in programming are encouraged to register for 15.457 .

15.451 Proseminar in Capital Markets/Investment Management

Prereq: 15.401 , 15.414 , or 15.415 G (Fall) 2-0-4 units

Provides a unique opportunity to tackle original research problems in capital market analysis and investment management that have been posed by leading experts from the financial community. Students are assigned to teams, and each team is assigned one such problem. Teams present their solutions at a seminar which is attended by representatives of the sponsoring organization and open to the entire MIT community. Not open to students from other institutions.

M. Kritzman

15.452 Proseminar in Corporate Finance/Investment Banking/Private Equity

This action learning course provides an opportunity to bring theory into practice by working on projects sponsored by leaders in corporate finance, investment banking, and private equity. Students work in teams to analyze and problem-solve, culminating in reports which teams present to sponsors for evaluation and feedback. Develops and hones skills required to distill the complexity of a real-world finance problems and to provide an insightful solution that is sensitive to the full context. Recent project sponsors include leading investment banks (Goldman Sachs, JP Morgan), private equity firms (Apollo, KKR, Carlyle), and consulting firms (McKinsey, Bain PE group). Not open to students from other institutions.

15.453 Finance Lab

Prereq: 15.401 , 15.414 , or 15.415 G (IAP, Spring; first half of term) 3-0-6 units

Bridges theory and practice, providing students with an immersive research and analysis experience during IAP followed by a classroom segment in the first half of spring term. Students work with leading industry practitioners and a diverse cross-section of students on collaborative teams, focusing on topical, real-world finance research questions posed by the practitioners. Teams then deliver a nuanced analysis and report findings, gaining insight and coaching from the experts. Practitioners represent a range of financial institutions, including investment management, hedge funds, private equity, venture capital, risk, and consulting. Examples of project topics include equity and fixed income research, trading, risk analysis, venture capital valuation, private equity due diligence, and fundamental industry analysis. Application required; restricted to MIT students.

15.454 Financial Mathematics

Covers fundamental mathematics essential for the study of modern finance: probability, stochastic processes, linear algebra, statistics, optimization, and basic programming in R. Restricted to students in the Master of Finance Program.

15.455 Advanced Mathematical Methods for Financial Engineering

Covers advanced mathematical topics essential for financial engineering and quantitative finance: linear algebra, optimization, probability, stochastic processes, statistics, and basic programming in R. Covers topics at a more advanced level and at a faster pace than 15.454 . Restricted to students in the Master of Finance Program.

15.456 Financial Engineering

Prereq: 15.401 , 15.414 , or 15.415 G (Fall) 4-0-5 units

Exposes students to the cutting edge of financial engineering. Includes a deep immersion into 'how things work,' where students develop and test sophisticated computational models and solve highly complex financial problems. Covers stochastic modeling, dynamic optimization, stochastic calculus and Monte Carlo simulation through topics such as dynamic asset pricing and investment management, market equilibrium and portfolio choice with frictions and constraints, and risk management. Assumes solid undergraduate-level background in calculus, probability, statistics, and programming and includes a substantial coding component. Classroom examples presented using Python and R.

L. Kogan, P. Mende

15.457 Advanced Analytics of Finance

Prereq: 15.401 , 15.414 , or 15.415 G (Spring) 5-0-7 units Credit cannot also be received for 15.450

Introduces a set of modern analytical tools that specifically target finance applications. Topics include statistical inference, financial time series, event study analysis, and machine learning techniques. Focuses on how to apply these tools for financial and macro forecasting, quantitative trading, risk management, and fintech innovations such as big-data lending and robo-advisors. 15.457 is a more advanced version of 15.450 . Students with a solid background in statistics and proficiency in programming are encouraged to register for 15.457 .

15.458 Financial Data Science and Computing

Prereq: 15.401 , 15.414 , or 15.415 G (Fall) 3-0-6 units

Covers methods of managing data and extracting insights from real-world financial sources. Topics include machine learning, natural language processing, predictive analytics, regression methods, and time series analysis. Applications include algorithmic trading, portfolio risk management, high-frequency market microstructure, and option pricing. Studies major sources of financial data, raw data cleaning, data visualization, and data architecture. Provides instruction in tools used in the financial industry to process massive data sets, including SQL, relational and multidimensional databases. Emphasizes computer implementations throughout.

15.465 Alphanomics: A New Approach to Security Analysis

Prereq: 15.401 G (Spring) 3-0-6 units

Focuses on investment decisions in the presence of noisy market prices. Exposes students to the role of informational arbitrage, whereby some agents invest resources to become informed about mispricing (i.e., noise) relative to fundamental values, with hopes of profiting from it. Explains the practice of active investing, the relation between information flows and market pricing dynamics, and the roles of retail investors. Topics included derive from financial economics: market efficiency, cognitive constraints, limits to arbitrage, quantitative stock selection; and accounting-based research: equity valuation, fundamental analysis, and the role of financial analysts.

15.466 Functional and Strategic Finance

Prereq: 15.433 or 15.437 G (Spring) 3-0-6 units

Applies finance science and financial engineering tools and theory to the design and management of global financial institutions, markets, and the financial system to better understand the dynamics of institutional change and financial product/service design. Focuses on foundational analytical tools students will rely upon throughout their careers - derivative pricing and risk measurement; portfolio analysis and risk accounting; and performance measurement to analyze and implement concepts and new product ideas. Examines the needs of government as user, producer and overseer of the financial system, and how tools are applied to measure and manage risks in financial and other economic crises (e.g. 1973-1975 vs. 2007-2009 vs. 2020-2022). Preference to MBA and MFin students.

15.467 Asset Management, Lifecycle Investing, and Retirement Finance

Applies finance science and financial engineering tools and theory to asset management, lifecycle investing, and retirement finance. Focuses on foundational analytical tools students will rely upon throughout their careers - derivative pricing and risk measurement, portfolio analysis and risk accounting, and performance measurement to analyze and implement concepts and new product ideas. Students should be comfortable with portfolio-selection theory, CAPM, option pricing, futures, swaps, and other derivative securities. 15.433 is a strongly recommended co-requisite. Preference to MBA and MFin students.

15.470[J] Asset Pricing

Same subject as 14.416[J] Prereq: None G (Fall) 4-0-8 units

Provides a foundation in the neoclassical theory of finance that underlies more advanced study. Covers arbitrage asset pricing, optimal consumption-portfolio choices, neo-classic theory of corporate finance, static equilibrium models of asset pricing, asymmetric information, and dynamic modeling. Prepares students for further study of asset pricing theories, corporate finance and econometric work in finance. Primarily for doctoral students in finance, economics, and accounting.

L. Schmidt, L. Mota

15.471[J] Corporate Finance

Same subject as 14.441[J] Prereq: None G (Spring) 3-0-9 units

Provides an introduction to the basic theoretical and empirical contributions in corporate finance. Exposes students to the key methodological tools in modern corporate finance. Covers capital structure, corporate governance, agency problems, incomplete financial contracting, the market for corporate control, product market corporate finance interactions, corporate reorganization and bankruptcy, banking, and other selected topics. Primarily for doctoral students in finance, economics, and accounting.

A. Schoar, D. Thesmar

15.472[J] Advanced Asset Pricing

Same subject as 14.442[J] Prereq: None G (Fall) 3-0-9 units

Focuses on solving, estimating, and empirically evaluating theoretical models of asset prices and financial markets, as well as their microeconomic foundations and macroeconomic implications. Discusses theory and econometric methods, the state of the literature, and recent developments and empirical evidence. Covers topics such as cross-sectional and time-series models, consumption-based and intermediary-based models, financial institutions, household finance, housing, behavioral finance, financial crises, and continuous-time tools and applications. Students complete a short term paper and a presentation. Primarily for doctoral students in finance, economics, and accounting.

15.473[J] Advanced Corporate Finance

Same subject as 14.440[J] Prereq: None G (Spring) 3-0-9 units

This course builds on 15.471[J] and considers further topics that are at the frontier of corporate finance research. Topics covered include: structural estimation of corporate finance models, financial intermediation, corporate taxation, aggregate effects of financing frictions, corporate finance with irrational managers or irrational investors and entrepreneurial finance (young firm dynamics, venture capital and private equity). Primarily for doctoral students in finance, economics, and accounting.

15.474[J] Current Topics in Finance

Same subject as 14.448[J] Prereq: None G (Spring) 3-0-9 units Can be repeated for credit.

Faculty present their current research in a wide variety of topics in finance. Provides a rapid overview of the literature, an in-depth presentation of selected contributions, and a list of potential research ideas for each topic. Faculty rotate every year to cover new topics. Primarily for doctoral students in accounting, economics, and finance.

15.475[J] Current Research in Financial Economics

Same subject as 14.449[J] Prereq: Permission of instructor G (Fall, IAP, Spring, Summer) 3-0-3 units Can be repeated for credit.

Advanced seminar intended for PhD students interested in finance. Topics and papers vary by term, following the latest research in academia and in correlation with the weekly finance faculty research seminar. Each week, students will critically review the contributions, method of analysis, and presentation of evidence of existing research; one session is devoted to preparing for the finance seminar, while the other session discusses further work on the same topic. Restricted to doctoral students.

15.480[J] Science and Business of Biotechnology

Same subject as 7.546[J] , 20.586[J] Prereq: None. Coreq: 15.401 ; permission of instructor G (Spring) 3-0-6 units

See description under subject 7.546[J] .

J. Chen, A. Koehler, A. Lo, H. Lodish

15.481[J] Financial Market Dynamics and Human Behavior

Same subject as 6.9350[J] Prereq: 15.401 , 15.414 , or 15.415 Acad Year 2023-2024: Not offered Acad Year 2024-2025: G (Spring) 4-0-5 units

Drawing on the latest research in psychology, evolutionary biology, neuroscience, and artificial intelligence, as well as in behavioral and mainstream financial economics, provides new perspectives and insights into the role that human behavior plays in the business environment and the dynamics of financial markets and institutions. Incorporates practical applications from several industries including finance, insurance, biotechnology, pharmaceuticals, and government policy. Students apply ideas from this perspective to formulate original hypotheses regarding new career opportunities and disruptive technologies in their industry of choice. Enrollment may be limited; preference to Sloan graduate students.

15.482 Healthcare Finance

Prereq: 15.401 , 15.414 , 15.415 , or permission of instructor Acad Year 2023-2024: Not offered Acad Year 2024-2025: G (Fall) 3-0-6 units

Covers the role of finance in the biotech and pharmaceutical industries; specifically, the application of novel financing methods and business structures to facilitate drug discovery, clinical development, and greater patient access to high-cost therapies. Topics include basic financial analysis for the life-sciences professional; risks and returns in the biopharma industries; the mechanics of biotech startup financing; capital budgeting for biopharma companies; and applications of financial engineering in modern healthcare investment strategies and institutions. Develops a systemic framework for addressing the biggest challenges in the biomedical ecosystem. Enrollment may be limited; preference to Sloan graduate students.

15.483 Consumer Finance and FinTech

Explores consumer finance and the ways in which financial innovation and new technologies disrupt the financial services industry, leading to material change in business models and product design in financial markets. Provides a solid understanding of rational and behavioral aspects of consumer decision-making and how the players, products, funding markets, regulatory frameworks, and fundamentals all interact to shape ever-changing consumer financial markets, including consumer debt, investment, transactions, and advising markets. Covers past and current innovations and technologies ranging from peer-to-peer lending, AI, deep learning, cryptocurrencies, blockchain technology, and open API's, to the role of FinTech startups. A combination of case studies, guest speakers and group discussion provide real-world insight and interactivity, while special review sessions help hone technical skills.

15.492 Practice of Finance: Crypto Finance

Explores the markets for cryptocurrencies, such as Bitcoin. Begins with the basics and economics of crypto assets' underlying blockchain technology and then turns to the trading and markets for cryptocurrencies, initial coin offerings, other tokens and crypto derivatives. Students gain an understanding and comparison to traditional finance of the market structure, participants, regulation and dynamics of this relatively new and volatile asset class.

P. Asquith, Y. Gao

15.493 Practice of Finance: Perspectives on Investment Management

Prereq: 15.402 , 15.414 , or 15.415 G (Spring; second half of term) Not offered regularly; consult department 3-0-3 units

Provides an overview of the investment management industry and an introduction to business fundamentals and valuation. Students read company analyst reports, write papers analyzing various companies, and complete an in-depth company analysis as a final paper. Includes presentations by outside speakers in the investment management industry. Class attendance is mandatory.

15.497 FinTech Ventures

Prereq: 15.401 , 15.414 , 15.415 , or permission of instructor G (Fall) 3-0-6 units

Designed for entrepreneurial types interested in the FinTech space, this course presents a unique opportunity to work through the nuts and bolts of developing, investing in or acquiring a FinTech startup. Bring your idea and/or team, or find both at class and develop your plan for the final "Demo Day" in front of a group of investors. In each class a new speaker (entrepreneurs, legal experts, venture capitalists) is welcomed who addresses relevant topics, while students present progress reports and receive advice and feedback. Students with an interest in being part of a FinTech startup, regardless of background (legal, financial, computer science, operations, etc.) should apply, individually or as part of a team. JD students from Harvard Law School and technical students from MIT are encouraged to apply. Enrollment by application only.

M. Rhodes-Kropf

15.499 Practice of Finance: Social Impact Investing

Prereq: 15.401 , 15.414 , 15.415 , or permission of instructor G (Spring) 3-0-6 units

Deep dive into social impact investing -- an approach intentionally seeking to create financial return and positive social impact that is actively measured. Imparts a solid analytical framework for evaluating the spectrum of social impact investments, including mission related investing. Includes a project which provides practical experience in evaluating an impact enterprise or a public markets ESG strategy. Students gain experience in structuring different types of investments, and critically compare and contrast these investments with traditional mainstream investments, with a view to understanding structural constraints. Designed for students interested in the intersection of finance and social impact. Provides career guidance and networking opportunities.

15.501 Corporate Financial Accounting

Prereq: None U (Fall, Spring) 3-0-9 units Credit cannot also be received for 15.516

Preparation and analysis of financial statements. Focuses on why financial statements take the form they do, and how they can be used in evaluating corporate performance and solvency and in valuation of corporate securities. Introduces concepts from finance and economics (e.g., cash flow discounting and valuation) and explains their relation to, and use in, accounting. Students taking the graduate version complete additional assignments.

15.511 Financial Accounting

Prereq: Permission of instructor G (Summer) 3-0-6 units Credit cannot also be received for 15.515 , 15.720

Introduces concepts of corporate financial accounting and reporting of information widely used in making investment decisions, corporate and managerial performance assessment, and valuation of firms. Students perform economics-based analysis of accounting information from the viewpoint of the user (especially senior managers) rather than the preparer (the accountant). Restricted to Sloan Fellow MBAs.

15.515 Financial Accounting

Prereq: Permission of instructor G (Fall) 4-0-5 units Credit cannot also be received for 15.511 , 15.720

An intensive introduction to the interpretation of financial information. Adopts a decision-maker perspective of accounting by emphasizing the relation between accounting data and the underlying economic events generating them. Class sessions are a mixture of lecture and case discussion. Assignments include textbook problems, analysis of financial statements, and cases. Restricted to first-year Sloan master's students.

15.516 Corporate Financial Accounting

Prereq: Permission of instructor G (Fall, Spring, Summer) 3-0-9 units Credit cannot also be received for 15.501

See description under subject 15.501 . If subject is oversubscribed, priority is given to Course 15 students.

15.518 Taxes and Business Strategy

Prereq: 15.501 , 15.511 , 15.515 , or 15.516 G (Spring) 3-0-6 units Credit cannot also be received for 15.5181

Provides conceptual framework for thinking about taxation and decision-making. Topics include taxation of various investments and types of compensation; retirement planning; considerations for choosing organizational form when starting a business; methods of merging, acquiring, divesting business entities; international tax planning strategies; and high wealth planning and estate tax. Applies current debates on tax policy options and recent tax law changes to class discussions. Intended to show how taxes affect individual investment as well as business decisions. Meets with 15.5181 when offered concurrently. Expectations and evaluation criteria for graduate students will differ from those of undergraduates; consult syllabus or instructor for specific details.

15.5181 Taxes and Business Strategy

Prereq: 15.501 U (Spring) 3-0-6 units Credit cannot also be received for 15.518

Provides conceptual framework for thinking about taxation and decision-making. Topics include taxation of various investments and types of compensation; retirement planning; considerations for choosing organizational form when starting a business; methods of merging, acquiring, divesting business entities; international tax planning strategies; and high wealth planning and estate tax. Applies current debates on tax policy options and recent tax law changes to class discussions. Intended to show how taxes affect individual investment as well as business decisions. Meets with 15.518 when offered concurrently. Expectations and evaluation criteria for graduate students will differ from those of undergraduates; consult syllabus or instructor for specific details.

15.521 Accounting Information for Decision Makers

Prereq: None G (Fall, Spring; first half of term) 3-0-3 units

Focuses on how organizations use granular-level information from their accounting systems on a day-to-day basis for two purposes -- making decisions and evaluating those decisions after the fact. The primary audience is students who intend to work as managers or management consultants. Featuring real-world situations from diverse operating environments, course content emphasizes practical skills that can be applied across various functional areas within organizations.

15.535 Business Analysis Using Financial Statements

Prereq: 15.501 , 15.511 , 15.515 , or 15.516 ; Coreq: 15.401 , 15.414 , 15.415 , or 15.417 G (Fall, Spring) 3-0-6 units

Focuses on the strategic, financial, and accounting analysis of a company by means of historical financial statement data. Also studies financial statement forecasting along with a specific application of forecasting - valuation. Concepts are applied to a number of decision-making contexts, including securities analysis, credit analysis, merger analysis, and company performance assessment.

15.539 Doctoral Seminar in Accounting

Prereq: 15.515 G (Fall, Spring) Units arranged Can be repeated for credit.

Designed primarily for doctoral students in accounting and related fields. The reading list consists of accounting research papers. Objective is to introduce research topics, methodologies, and developments in accounting, and train students to do independent research.

R. Verdi, E. So

15.540 Theory Studies in Accounting Research

Prereq: None G (Fall, Spring) 3-0-3 units Can be repeated for credit.

Exposes PhD students to theoretical foundations of cutting-edge research in accounting. Rotating modules cover topics on disclosure, contracting, compensation, asset pricing, and investments.

E. So, R. Verdi

Information Technologies

15.561 information technology essentials.

Prereq: None G (Fall, Spring) 3-0-6 units

Emphasizes programming in scripting languages (e.g., Python, R, spreadsheet) within the context of emerging trends underlying current and future uses of information technology (IT) in business. Provides a solid grasp of programming basics and foundations of computing. Other topics include web technologies, database systems, digital experimentation, crowdsourcing, and machine learning.

A.  Almaatouq, J. Horton

15.562 Web3 and Strategy: Blockchain, Metaverse, and NFT Essentials

Covers how Web3 and the Metaverse impact business strategy, organizations, entrepreneurship, and investing. Lectures and guest speakers discuss blockchain, crypto-assets, decentralized currency design, NFTs, decentralized finance (DeFi) and organizations (DAOs), smart contracts, and the impacts of these technologies on the digital economy and beyond.

15.563[J] Artificial Intelligence for Business

Same subject as 6.4150[J] Prereq: None G (Spring) 3-0-6 units

Explores how to design and evaluate products and policy based on artificial intelligence. Provides a functional (as opposed to mechanistic) understanding of the emerging technologies underlying AI. Presents AI's opportunities and risks and how to create conditions under which its deployment can succeed. No technical background required.

M.  Raghavan

15.567 The Economics of Information: Strategy, Structure and Pricing

Prereq: Permission of instructor G (Spring; second half of term) 3-0-3 units

Analysis of the underlying economics of information with business implications. Studies effects of digitization and technology on business strategy and organizational structure. Examines pricing, bundling, and versioning of digital goods, including music, video, software, and communication services. Considers the economic and managerial implications of data-driven decision-making, search, platform competition, targeted advertising, personalization, privacy, network externalities, and artificial intelligence. Readings on fundamental economic principles provide context for industry speakers and case discussions.

15.568 The Art of Leading: Experiencing Leadership in Practice (New)

Integrates the MIT Sloan 4-Capabilities Leadership model with arts processes to translate leadership capabilities into practice. Through discussions, guest speakers, and reflective exercises, focuses on individual and team practices that develop and sustain effective leadership. Structured around the capabilities of visioning, relating, sensemaking, and inventing as these are expressed in creative processes that facilitate novel perspectives, generate collaborative connections, and enable adaptive innovation.

W. Orlikowski, A. Shapira 

15.570 Digital Marketing and Social Media Analytics

Prereq: 15.809 , 15.814 , or permission of instructor G (Fall) 3-0-3 units

Provides a detailed, applied perspective on the theory and practice of digital marketing and social media analytics in the age of big data. Covers concepts such as the difference between earned and paid media, predictive modeling for ad targeting and customer relationship management, measuring and managing product virality, viral product design, native advertising, and engaging the multichannel experience. Stresses the theory and practice of randomized experimentation, AB testing and the importance of causal inference for marketing strategy. Combines lectures, case studies, and guest speakers with relevant industry experience that speak directly to the topics at hand.

15.572 Analytics Lab: Action Learning Seminar on Analytics, Machine Learning, and the Digital Economy

Prereq: Permission of instructor G (Fall) 2-0-7 units

Student teams design and deliver a project based on the use of analytics, machine learning, large data sets, or other digital innovations to create or transform a business or other organization. Teams may be paired up with an organization or propose their own ideas and sites for the project. Culminates with presentation of results to an audience that includes IT experts, entrepreneurs, and executives.

S. Aral, A. Almaatouq

15.575 Economics of Information and Information Technology

Prereq: Permission of instructor G (Spring) 3-0-9 units

Builds upon relevant economic theories and methodologies to analyze the changes in organizations and markets enabled by digital technologies. Examines information economics, labor economics, industrial organization and price theory, growth theory, intangible asset valuation, incomplete contracts theory, and design of empirical studies. Extensive reading and discussion of research literature explores the application of these theories to business issues with relevant guest speakers. Students will complete a final research paper and presentation. Primarily for doctoral students.

15.576 Research Seminar in Information Technology and Organizations: Social Perspectives

Examines the assumptions, concepts, theories, and methodologies that inform research into the social aspects of technology. Extensive reading and discussion of research literature aimed at exploring the multiple social phenomena surrounding the development, implementation, use and implications of information technology in organizations. Primarily for doctoral students.

W. J. Orlikowski

15.579 Seminar in Information Technology

Prereq: None G (Fall) Units arranged Can be repeated for credit.

Group study of current topics related to information technology.

15.579-15.580 Seminar in Information Technology

Prereq: None G (Spring) Units arranged Can be repeated for credit.

S. E. Madnick, T. W. Malone, W. Orlikowski

15.615 Essential Law for Business

Prereq: None G (Fall, Spring) 3-0-6 units Credit cannot also be received for 15.6151

Provides a solid grounding in what managers need to know about how law shapes opportunities and risks for the businesses they manage and their own careers. Enhances leadership skills for navigating critical law-sensitive junctures that managers encounter in young and mature companies. Explores the legal frameworks of contracts and deals; litigation and liability; employment and changing jobs; regulation and criminal sanctions; complex transactions, including public and private mergers and acquisitions; finance and private equity; distress, reorganization, and bankruptcy; cutting-edge digital technologies; and effective use of IP. No prior knowledge of law expected. Meets with 15.6151 when offered concurrently. Expectations and evaluation criteria differ for students taking graduate version.

J. Akula, L. Rodriques

15.6151 Essential Law for Business

Prereq: None U (Fall, Spring) 3-0-6 units Credit cannot also be received for 15.615

Provides a solid grounding in what managers need to know about how law shapes opportunities and risks for the businesses they manage and their own careers. Enhances leadership skills for navigating critical law-sensitive junctures that managers encounter in young and mature companies. Explores the legal frameworks of contracts and deals; litigation and liability; employment and changing jobs; regulation and criminal sanctions; complex transactions, including public and private mergers and acquisitions; finance and private equity; distress, reorganization, and bankruptcy; cutting-edge digital technologies; and effective use of IP. No prior knowledge of law expected. Meets with 15.615 when offered concurrently. Expectations and evaluation criteria differ for students taking graduate version.

15.617 Deals, Finance, and the Law

Prereq: None G (Spring) Not offered regularly; consult department 3-0-6 units Credit cannot also be received for 15.6171

Addresses law-sensitive issues arising in the overlapping contexts of complex deals and financial services and products. Covers financial services regulation, employment and job changes, and civil and criminal accountability. Develops managerial skills for handling law-sensitive situations at individual and organizational levels. Meets with 15.6171 when offered concurrently. Expectations and evaluation criteria differ for students taking graduate version; consult syllabus or instructor for specific details.

15.6171 Deals, Finance, and the Law

Prereq: None U (Spring) Not offered regularly; consult department 3-0-6 units Credit cannot also be received for 15.617

Addresses law-sensitive issues arising in the overlapping contexts of complex deals and financial services and products. Covers financial services regulation, employment and job changes, and civil and criminal accountability. Develops managerial skills for handling law-sensitive situations at individual and organizational levels. Meets with 15.617 when offered concurrently. Expectations and evaluation criteria differ for students taking graduate version; consult syllabus or instructor for specific details.

15.618 Startups and the Law

Prereq: None G (Fall, Spring) 2-0-4 units Credit cannot also be received for 15.6181

The legal framework of entrepreneurship and innovation. Key law-sensitive junctures in launching and growing a startup: assembling a team, organizing a business entity, ownership and compensation, early financing, managing contracts and employees, business distress and winding down, and selling a company. Cutting-edge technologies and intellectual property rights. Designed for those who may start or work in such ventures; or are engaged in research with potential for commercial or social impact; or are otherwise attempting to advance an innovation from idea to impact. No prior knowledge of law expected. Meets with 15.6181 when offered concurrently. Expectations and evaluation criteria differ for students taking graduate version.

15.6181 Startups and the Law

Prereq: None U (Fall, Spring) 2-0-4 units Credit cannot also be received for 15.618

15.620 Patent Law Fundamentals

Intensive introduction to the basic provisions of US patent law, emphasizing the requirements for patentability and the process of applying for a patent. Topics include requirements of utility, novelty, and non-obviousness; eligible subject matter; applying for a patent, including patent searches and the language of patent claims; infringement, defenses, and remedies; comparison of patents with other forms of intellectual property (copyrights, trade secrets, and trademarks). Reading materials include key sections of the US patent statute (Title 35, US Code) and related judicial decisions.

15.621 Your Career and the Law: Key Junctures, Opportunities and Risks

Prereq: None G (Fall, Spring; second half of term) 2-0-4 units

Explores legal opportunities and risks in employment from the perspectives of both employees and managers. Special attention to issues faced by tech-savvy employees and tech-intensive ventures; employees starting competing ventures; compensation and equity arrangements; the challenges of the gig economy; employee privacy; and discrimination, gender and other inclusion-related issues in the workplace. Led by former practicing attorneys, focuses on how employment law issues play out in the real world. Utilizes realistic scenarios and documents, such as offer letters and non-competition and invention assignment agreements. No prior knowledge of law expected.

15.622 The Law of AI, Big Data & Social Media

Prereq: None G (Fall, Spring) 2-0-4 units Credit cannot also be received for 15.6221

Focuses on the emerging legal framework of cutting-edge digital technologies, including AI/machine learning, big data and analytics, blockchain, the internet, and social media. Considers the law's impact on the development and application of these technologies, and the legal response to beneficial and mischievous impacts. Topics include law-sensitive aspects of privacy and bias, fintech, fair competition and fair dealing in digital markets, political discourse on social media, digital technologies in the workplace, and intellectual property rights in software and other innovations. Gives special attention to the legal concerns of those planning careers built on cutting-edge skills, and of managers and entrepreneurs bringing innovations from ideas to impact. How to find and make good use of legal advice. Meets with 15.6221 when offered concurrently. Expectations and evaluation criteria differ for students taking graduate version.

15.6221 The Law of AI, Big Data & Social Media

Prereq: None U (Fall, Spring) 2-0-4 units Credit cannot also be received for 15.622

Focuses on the emerging legal framework of cutting-edge digital technologies, including AI/machine learning, big data and analytics, blockchain, the internet, and social media. Considers the law's impact on the development and application of these technologies, and the legal response to beneficial and mischievous impacts. Topics include law-sensitive aspects of privacy and bias, fintech, fair competition and fair dealing in digital markets, political discourse on social media, digital technologies in the workplace, and intellectual property rights on software and other innovations. Gives special attention to the legal concerns of those planning careers built on cutting-edge skills, and of managers and entrepreneurs bringing innovations from ideas to impact. How to find and make good use of legal advice. Meets with 15.622 when offered concurrently. Expectations and evaluation criteria differ for students taking undergraduate version.

15.630 Law, Ethics, and Data Privacy

Prereq: None G (IAP) 2-0-1 units

Surveys selected ethical dilemmas and legal issues that arise in business analytics and AI. Explains how to maintain current knowledge about key laws and regulations for evolving technologies. Issues of data privacy are presented through consideration of the European Legislation General Data Protection Regulation (GDPR) and its requirements. Explores the many ethical dilemmas that arise beyond legal regulations with guests who work on the cutting edge of law, ethics, and data science. Restricted to Master of Business Analytics students.

Consult M. Li

15.647-15.649 Seminar in Law

Group study of current topics related to law.

J. L. Akula

15.655[J] Law, Technology, and Public Policy

Same subject as 11.422[J] , IDS.435[J] Subject meets with 11.122[J] , IDS.066[J] Prereq: None G (Fall) 3-0-9 units

See description under subject IDS.435[J] .

N. Ashford, C. Caldart

15.657[J] Technology, Globalization, and Sustainable Development

Same subject as 1.813[J] , 11.466[J] , IDS.437[J] Prereq: Permission of instructor G (Fall) 3-0-9 units

See description under subject IDS.437[J] .

Industrial Relations and Human Resource Management

15.661 building successful careers and organizations.

Designed to help students learn more about their strengths, and how they can utilize these strengths to manage their career. Draws on the latest research and practices, experiential exercises, and cases studies, and includes guest speakers. Covers the most important aspects of talent (and career) management. No listeners.

15.662[J] People and Profits: Shaping the Future of Work

Same subject as 11.383[J] Prereq: None G (Spring) 3-1-8 units

Examines managing work in the 21st century in the interests of both people and profits through the context of rising inequality, technological change, globalization, and the growth of the gig economy. Students evaluate various business and policy interventions intended to improve work through critical analysis of the evidence, interviews with workers and evaluations of firms, and guest speakers. Guests include business leaders at leading-edge firms and labor leaders experimenting with new ways of providing workers a voice in the workplace. Draws on materials from the MIT Task Force on Work of the Future and the online course Shaping Work of the Future.

A. Stansbury

15.663[J] Environmental Law, Policy, and Economics: Pollution Prevention and Control

Same subject as 1.811[J] , 11.630[J] , IDS.540[J] Subject meets with 1.801[J] , 11.021[J] , 17.393[J] , IDS.060[J] Prereq: None G (Spring) 3-0-9 units

See description under subject IDS.540[J] .

15.665 Power and Negotiation

Prereq: Permission of instructor G (Fall, Spring) 3-0-6 units

Provides understanding of the theory and processes of negotiation as practiced in a variety of settings. Designed for relevance to the broad spectrum of bargaining problems faced by the manager and professional. Allows students an opportunity to develop negotiation skills experientially and to understand negotiation in useful analytical frameworks. Emphasizes simulations, exercises, role playing, and cases.

J. Lu, B. Tewfik

15.669 Strategies for People Analytics

Prereq: 15.311 or permission of instructor G (Fall; first half of term) 3-0-3 units

Focuses on the strategies used to successfully design and implement people analytics in one's organization. Draws on the latest company practices, research projects, and case studies - all with the goal of helping students deepen their understanding of how people analytics can be applied in the real world. Covers the most important aspects of human resource management and people analytics. Demonstrates how to apply those basic tools and principles when hiring, evaluating and rewarding performance, managing careers, and implementing organizational change. No listeners.

15.671 U-Lab: Transforming Self, Business and Society

Experiential opportunity to practice new leadership skills, such as deep listening, being present (mindfulness), and generative dialogue. In weekly coaching circles, each student has one full session to present their current leadership edge and receive feedback from peer coaches. Includes an additional action learning project.

O. Scharmer

15.672 Negotiation Analysis

Subject meets with 15.6721 , 15.673 , 15.6731 Prereq: Permission of instructor G (IAP) 1-0-2 units Credit cannot also be received for 15.675 , 15.712

Presents analytical frameworks and strategies to handle a variety of negotiation situations. Includes simulations, games, videos, lectures, discussion, and multiple opportunities to practice and hone negotiation, communication, and influence skills with extensive personalized feedback. Intended for students with a broad spectrum of backgrounds and experience levels. Six-unit version includes additional class time and outside work. Expectations and evaluation criteria differ for students taking graduate version. Limited to 80 via lottery; consult class website for information and deadlines.

15.6721 Negotiation Analysis

Subject meets with 15.672 , 15.673 , 15.6731 Prereq: Permission of instructor U (IAP) 1-0-2 units Credit cannot also be received for 15.675 , 15.712

15.673 Negotiation Analysis

Subject meets with 15.672 , 15.6721 , 15.6731 Prereq: Permission of instructor G (IAP) 2-0-4 units Credit cannot also be received for 15.675 , 15.712

15.6731 Negotiation Analysis

Subject meets with 15.672 , 15.6721 , 15.673 Prereq: Permission of instructor U (IAP) 2-0-4 units Credit cannot also be received for 15.675 , 15.712

15.674[J] Leading Creative Teams

Same subject as 6.9280[J] , 16.990[J] Prereq: Permission of instructor G (Fall, Spring) 3-0-6 units

See description under subject 6.9280[J] . Enrollment limited.

D. Nino, J. Wu

15.675 Negotiation Seminar

Prereq: None G (IAP) 3-0-3 units Credit cannot also be received for 15.672 , 15.6721 , 15.673 , 15.6731 , 15.712

Provides understanding of the theory and processes of negotiation as practiced in a variety of settings. Designed for relevance to the broad spectrum of bargaining problems faced by the manager and professional. Allows students an opportunity to develop negotiation skills experientially and to understand negotiation in useful analytical frameworks. Emphasizes simulations, exercises, role playing, and cases. Restricted to Sloan Fellow MBAs.

15.676 Work, Employment, and Industrial Relations Theory

Prereq: Permission of instructor G (Spring) Not offered regularly; consult department 2-0-7 units

Historical evolution and assessment of different theories and disciplinary perspectives used in research on work, employment, and industrial relations. Introduces doctoral students to the field and explores where their research interests fit within the broader field. First part compares the normative assumptions, theories, and methodologies used by economists, historians, sociologists, psychologists, political scientists, and legal scholars from the latter nineteenth century to the present. Final portion explores strategies for advancing research on topics of current interest to participants.

T. Kochan, P. Osterman, E. Castilla, O. Sharone, M. Amengual

15.677[J] Labor Markets and Employment Policy

Same subject as 11.427[J] Prereq: Permission of instructor G (Spring) 3-0-9 units

Research-based examination of how labor markets work — and how they have evolved over time — through trends such as rising income inequality, technological change, globalization, falling worker power, and the fissuring of the workplace. Through reading and engaging with economics research papers, students use theoretical frameworks and rigorous empirical evidence to analyze public policy interventions in the labor market, including unemployment insurance, minimum wage, unions, family leave, anti-discrimination policies, and workforce development. Preference to graduate and PhD students.

15.679[J] USA Lab: Bridging the American Divides

Same subject as 11.651[J] Prereq: None G (Spring) 3-1-5 units

Practical exploration of community revitalization in America's small towns and rural regions. Focuses on work, community, and culture. Consists of rigorous classroom discussions, research, and team projects with community development organizations. Site visit over SIP week and spring break required for project fieldwork.

L. Hafrey, C. McDowell

15.681 From Analytics to Action

Prereq: None G (Fall, Summer) 3-0-3 units

Develops appreciation for organizational dynamics and competence in navigating social networks, working in a team, demystifying rewards and incentives, leveraging the crowd, understanding change initiatives, and making sound decisions. Restricted to Master of Business Analytics students.

R. Fernandez, M. Terrab

15.690 Diversity as Discovery

Prereq: None Acad Year 2023-2024: Not offered Acad Year 2024-2025: U (Fall; first half of term) 3-0-3 units

Aims to help students discover who they are as individuals and members of a community. Course operates under two basic assumptions: that we can accomplish more together than alone, and that a significant part of who we are as individuals is left out of most organizational settings. Confronts the lack of tools and frameworks for dealing with the wealth of diversity among populations, and discusses the value diversity could potentially create.

15.691 Research Seminar in Work, Employment and Industrial Relations

Prereq: Permission of instructor G (Fall) Not offered regularly; consult department Units arranged Can be repeated for credit.

Discusses important areas for research in work, employment and industrial relations; frameworks for research, research techniques, and methodological problems. Centered mainly on staff research and the thesis research of advanced graduate students and invited guests.

Consult T. A. Kochan

15.698 Seminar in Industrial Relations and Human Resource Management

Group study of current topics related to industrial relations and human resource management.

Consult P. Osterman

Executive MBA Subjects

15.700 leadership and integrative management.

Investigates the different perspectives a general manager must take, how to integrate those perspectives, and the role of leadership in setting and realizing goals. Students work intensively in teams and with multiple faculty, using a deep dive into the challenges faced by a major global firm operating in complex global markets. Restricted to Executive MBA students.

Consult J. Hising DiFabio

15.701 Innovation-Driven Entrepreneurial Advantage

Prereq: None. Coreq: 15.714 ; or permission of instructor G (Spring) 6-0-6 units

Exposes students to the content, context, and contacts that enable entrepreneurs to design and launch successful stand-alone ventures, ventures inside established corporations, and ventures in partnership with established corporations based on new innovations. Students examine the critical entrepreneurial and innovation challenges facing entrepreneurs inside new and established firms, and develop frameworks that allow them to identify, evaluate, iterate, and integrate their ideas effectively. Case-based discussions complemented by visits to key actors in MIT labs, as well as live case studies with successful entrepreneurs. Specially designed team projects provide practical experience in entrepreneurial strategy, innovation management, and the workings of the MIT entrepreneurial ecosystem. Restricted to Executive MBA students.

15.702 Leading in a Global Context: Macroeconomics and Global Markets

Prereq: Permission of instructor G (Fall) 6-0-6 units Can be repeated for credit.

Intensive module on the global economy, combining the key perspectives of macroeconomics and global economic strategy. Focuses on the policy and economic environment of firms, as well as on the development of a more international market in products, services, and capital, and how this affects trade and industries. Presents insights into national economic strategies for development, and into the evolving rules and institutions governing the international economic order. Develops an actionable appreciation for managers of the international dimensions of economic policy and strategy in an increasingly complex world economy. Restricted to Executive MBA students.

15.703 Leading with Impact

Prereq: Permission of instructor G (Spring) 3-3-3 units

Student teams work with the leadership of local not-for-profits to solve a pressing problem faced by that organization. The problems will vary with the organization in question, as will the skills and capabilities students draw on to appropriately address them. Culminates with group reflection on what it means to be a principled innovative leader who improves the world.

15.704 IDEA Lab

Prereq: 15.701 G (Spring) 6-0-9 units

Opportunity to work with interested organizations - or on a startup - to explore and leverage innovation ecosystems, build greater strength in innovation-driven entrepreneurial advantage, and build a stronger culture of corporate innovation. Faculty and students co-create projects along one of two tracks: the innovation track, focused on organizations wishing to become more innovative and/or engage the ecosystem; or the entrepreneurship track, principally for students with startup enterprises/ventures. Further explores themes of innovation ecosystems, stakeholders, and the innovation loop of experimentation and evaluation. Innovation projects are team-based and can be Boston-based. Entrepreneurship projects can be a solo enterprise, but teams are also encouraged. Restricted to second year Executive MBA students.

F. Murray, P. Budden

15.705 Organizations Lab

Preparation for an organizational change project. Emphasis on applying tools of organizational, operational, and systems analysis in order to effect change. Includes a focus on the challenges and opportunities presented by issues of leadership and organizational behavior. Each student leads a change project in his or her own organization, focusing on fixing a broken or ineffective process. Examples of possible initiatives include a strategic reorientation, organizational restructuring, introduction of a new technology, a worker participation program, etc. Restricted to Executive MBA students.

15.707 Global Strategy

Prereq: Permission of instructor G (Fall, Spring) 3-0-3 units

Provides students with the evidence, concepts and models for understanding company performance in a global world and the issues facing executives in the early 21st century. Prepares students to manage effectively in todays interconnected world by understanding this changing environment, principles of global strategy, and the relation between global strategy and organization. Focuses on the specificities of strategy and organization of the multinational company. Restricted to Executive MBA students.

15.708 Global Organizations Lab

Prereq: Permission of instructor G (Spring) 6-0-9 units

Helps students discover and develop new and effective ways of managing and working together across national borders; also helps accelerate development of the context awareness and integrative management skills needed to lead in a globalized world. Involves intensive team engagement with a firm where students integrate their understanding of the relevant global and national economic and institutional contexts, industry dynamics, the firm's strategic position and capabilities, and its management organization and processes to provide the management sponsor with insight and effective recommendations. Includes a week-long site visit for research. Restricted to Executive MBA students.

15.709 Key Decisions for Corporate Boards

Designed to help students understand the fundamental rules and practices of corporate boards in three key areas: the audit committee, the compensation committee, and corporate takeovers. Includes discussion related to case studies, with short lectures at the start and end of each session to highlight the differences and similarities in practices by boards in the US and abroad. Restricted to MIT Executive MBA and Sloan Fellows students.

15.711 Executing Strategy for Results

Prereq: None G (IAP) 1-0-2 units Credit cannot also be received for 15.361

Condensed version of 15.361 that introduces a comprehensive framework to understand how leaders can execute strategy more effectively. Presents case studies of companies that excel at execution, and a series of practical tools that can be applied immediately to boost performance. Intended for owner-operators and managers in complex organizations (more than 200 employees, multiple functions or units), particularly those competing in volatile markets. Restricted to Executive MBA and Sloan Fellows students.

15.712 Negotiation and Influence

Prereq: Permission of instructor G (Spring) 3-0-3 units Credit cannot also be received for 15.672 , 15.6721 , 15.673 , 15.6731 , 15.675

Provides understanding of the theory and processes of negotiation as practiced in a variety of settings. Designed for relevance to the broad spectrum of bargaining problems faced by the manager and professional. Allows students an opportunity to develop negotiation skills experientially and to understand negotiation in useful analytical frameworks. Emphasizes simulations, exercises, role playing, and cases. Restricted to Executive MBA students.

15.714 Competitive Strategy

Prereq: Permission of instructor G (Spring) 3-0-6 units Credit cannot also be received for 15.902

Introduces a variety of modern strategy frameworks and methodologies to develop the skills needed to be a successful manager. Cases and readings explore a range of strategic problems, focusing particularly on the sources of competitive advantage and the interaction between industry structure and organizational capabilities. Emphasizes the perspective of the general manager in ensuring the firm's success. Encourages awareness of both the external (market) and internal (organizational) forces that shape firm performance. Restricted to Executive MBA students.

15.715 Entrepreneurial Strategy

Prereq: None G (IAP; second half of term) 1-0-2 units Credit cannot also be received for 15.911

Provides an integrated strategy framework for innovation-based entrepreneurs. Students examine the core strategic choices facing start-up innovators, and discuss a synthetic framework for the development, implementation and scaling of entrepreneurial strategy in dynamic environments over time. Identifies the types of choices that entrepreneurs must make to take advantage of a novel opportunity, and studies the logic of particular strategic commitments and positions that allow entrepreneurs to establish competitive advantage. Restricted to MIT Executive MBA and Sloan Fellows students.

15.716 Leading Organizations

Prereq: None G (Summer) 3-0-6 units Credit cannot also be received for 15.322

Promotes awareness of and strategies to meet the key challenges leaders face today (and tomorrow). Acquaints students with some of the psychological and sociological dynamics that regularly operate in organizational settings - the less visible but quite powerful "forces" that shape the way employees and managers respond (or don't respond) to a changing world. Restricted to Executive MBA students.

15.717 Organizational Processes

Designed to enhance students' ability to take effective action in complex organizational settings by providing the analytic tools needed to analyze, manage, and lead the organizations of the future. Emphasizes the importance of the organizational context in influencing which individual styles and skills are effective. Employs a wide variety of learning tools, from experiential learning to the more conventional discussion of written cases. Centers on three complementary perspectives on organizations: the strategic design, political, and cultural "lenses" on organizations. Restricted to Executive MBA students.

15.718 Introduction to Disciplined Entrepreneurship

Prereq: None G (IAP; second half of term) 1-0-2 units

Fast-paced introduction to the disciplined entrepreneurship approach to enhancing entrepreneurial skills needed to be more productive at work, start a new venture, interact and evaluate new ventures, and understand what entrepreneurship is and is not. Interactive, action-oriented workshops build skills to apply knowledge imparted by the books Disciplined Entrepreneurship: 24 Steps to a Successful Startup and the Disciplined Entrepreneurship Workbook. Restricted to Executive MBA and Sloan Fellow MBA students.

15.719 Entrepreneurial Finance

Addresses key questions that are central to the funding and growth of high-tech start-up firms, such as how to value entrepreneurial firms using different valuation methods, and how to negotiate investor term sheets and convertible notes. Discusses the trade-off between different exit options for start-up firms. Aims to prepare students for these decisions from the perspective of entrepreneurs and venture capitalists. Restricted to MIT Executive MBA and Sloan Fellows students.

15.720 Financial Accounting

Prereq: Permission of instructor G (Spring) 3-0-6 units Credit cannot also be received for 15.511 , 15.515

Examines the basic concepts of corporate financial accounting and reporting, and the role of accounting information in investment decisions, corporate and managerial performance assessment, and the valuation of firms. Develops skills for performing an economics-based analysis of accounting information from the viewpoint of the users of accounting information (especially senior managers), rather than the preparer (the accountant). Restricted to Executive MBA students.

15.721 Communication and Persuasion Through Data for Executives

Prereq: None G (IAP) 1-0-2 units Credit cannot also be received for 15.286 , 15.287

Explains how to better convey complex, quantitative information to non-experts inside and outside of one's organization. Aims to improve skill set and teach tools that can be used to demonstrate to others how to be more effective. Specific skills covered include improving ability to create effective visuals for communicating quantitative information, maximizing audience comprehension when presenting data, and cultivating ability to communicate complex ideas in writing. Restricted to Executive MBA and Sloan Fellow MBA students.

M. Kazakoff

15.722 Applied Economics for Managers

Prereq: Permission of instructor G (Fall) 3-0-6 units Credit cannot also be received for 15.024

Develops facility with concepts, language, and analytical tools of economics. Primary focus is on microeconomics. Emphasizes integration of theory, data, and judgment in the analysis of corporate decisions and public policy, and in the assessment of changing US and international business environments. Restricted to Executive MBA students.

15.723 Advanced Applied Macroeconomics and International Institutions

Prereq: 15.702 or permission of instructor G (Spring) 3-0-3 units

Topics draw on current macroeconomic issues and events, such as modern monetary and fiscal policy; financial crisis, contagion, and currency crisis; real exchange rates, purchasing power parity, and long run sustainability; sustainable development; targeting and the new monetary policy regime; and Europe and the Euro: optimal currency areas. Restricted to Executive MBA students.

15.724 Financial Management

Prereq: Permission of instructor G (Fall) 3-0-6 units Credit cannot also be received for 15.414

Provides a rigorous introduction to corporate finance and capital markets, with an emphasis on applications vital to corporate managers. Exposes students to the major financial decisions made by leaders within a firm and to the ways the firm interacts with investors, with a focus on valuation. Topics include project and company valuation, measuring risk and return, stock pricing, corporate financing policy, the cost of capital, and risk management. Presents a broad overview of both theory and practice. Restricted to Executive MBA students.

15.725 Marketing Strategy for General Managers

Helps students consider the entire marketing mix in light of the strategy of the firm. Reviews customer-based sources of competitive advantage and discusses how to identify, measure, and leverage them. Introduces a method for comparing alternative selling formats (e.g., brick and mortar vs. electronic), aiming to find the most efficient ways to sell different products to different customers. Discusses the myriad ways in which the firm can grow its sources of competitive advantage. Provides practical experience in using tools to identify, evaluate, and develop marketing strategies; design efficient products and selling formats; and plan the use and development of the firm's portfolio of resources. Restricted to Executive MBA and Sloan Fellows students.

15.726 Pricing

Prereq: None G (IAP) 1-0-2 units Credit cannot also be received for 15.818

Focuses on practical pricing tactics. Presents a framework for the steps firms should take when thinking about pricing a new product or improving the pricing performance of an old product. Tools covered include monadic pricing surveys, empirical price elasticity calculations, and conjoint. Restricted to Executive MBA students.

15.727 The Analytics Edge

Prereq: 15.730 or permission of instructor G (Spring) 3-0-6 units

Introduces modern analytics methods (data mining and optimization), starting with real-world problems where analytics have made a material difference. Modern data mining methods include clustering, classification, logistic regression, CART, random forest methods, and association rules. Modern optimization methods include robust, adaptive and dynamic optimization. Applications include health care, hospital operations, finance, energy, security, internet, and demand modeling. Uses R programming language for data mining and ROME for robust optimization. Restricted to Exeuctive MBA students.

15.728 Deals, Finance, and the Law

Addresses the challenges managers face in connection with two overlapping responsibilities: negotiating and managing complex deals, and arranging financing. Examines mergers and acquisitions and early-stage investments in young companies; commercial finance, financial instruments, and structured products; and how these relationships and structures play out in the context of financial distress. Emphasizes the opportunities and risks the different parties involved confront. Focuses primarily on the US, but also considers how key legal issues are analyzed in a transnational context. Restricted to Executive MBA and Sloan Fellows students.

15.729 Leadership: Quantitative and Qualitative Approaches (LQ^2)

Uses interdisciplinary approaches and real-world examples to show how analytics inform organizational change. Takes into account the human and cultural components of organizations. Restricted to Executive MBA and Sloan Fellow MBA students.

15.730 Data, Models, and Decisions

Prereq: Permission of instructor G (Spring) 3-0-6 units Credit cannot also be received for 15.060

Introduces students to fundamental tools in using data to make informed management decisions. Emphasizes the executive perspective: how to leverage best-practice quantitative methods to manage and drive the business. Exercises and cases complemented by perspectives and applications in finance, operations management, healthcare, the Internet, and other functions and industries. Restricted to Executive MBA students.

15.731 Risk Management

Prereq: ( 15.730 and 15.734 ) or permission of instructor G (IAP) 1-0-2 units

Provides several core analytical and management concepts, helping students identify, model, think about, analyze, and manage risk. Topics vary; examples include risk measures, the drivers-event-outcomes framework, low-probability high-impact risk events, hedging risk with financial options, real options, risk management in the supply chain, project risk management, modern portfolio management, systemic risk. Restricted to Executive MBA and Sloan Fellows students.

15.732 Marketing Management

Prereq: Permission of instructor G (Fall) 3-0-6 units Credit cannot also be received for 15.814 , 15.8141

Studies the application of a reasoned framework to the selection of target markets and the optimization of marketing decisions. Subject is divided into two parts: a tactical portion that reviews how firms optimize profits in their chosen markets, and a strategic portion that focuses on identifying target markets. Tactical topics include pricing, promotion, channel and product issues. Restricted to Executive MBA students.

15.733 Global Financial Markets

Addresses the risks taken by trading goods and services across borders and by borrowing and investing globally. Provides a framework for understanding and assessing cross-border transactions, global financing, and global investment opportunities, with a particular attention to exchange rate risk and how it affects decision-making. Restricted to Executive MBA and Sloan Fellow MBA students.

15.734 Introduction to Operations Management

Prereq: Permission of instructor G (Spring, Summer) 3-0-6 units Credit cannot also be received for 15.761 , 15.7611

Provides concepts, techniques and tools to design, analyze and improve core strategic operational capabilities. Covers a broad range of application domains and industries, such as high-tech, financial services, insurance, automotive, health care, retail, fashion, and manufacturing. Emphasizes the effects of uncertainty in business decision making and the interplay between strategic and financial objectives and operational capabilities. Students play simulation games that demonstrate some of the central concepts. Restricted to Executive MBA students.

15.735 Product Design

Presents the modern methods of product development using a systematic innovation approach. Topics include opportunity identification, design thinking, product strategy, identifying customer needs, creativity, concept development, product architecture, industrial design, and green design practice. Restricted to Executive MBA and Sloan Fellows students.

15.736 Introduction to System Dynamics

Prereq: Permission of instructor G (Spring, Summer) 3-0-6 units Credit cannot also be received for 15.871 , 15.873 , 15.8731

Introduces system dynamics modeling for the analysis of business policy and strategy. Provides the skills to visualize an organization in terms of the structures and policies that create dynamics and regulate performance. Uses causal mapping, simulation models, case studies, and management flight simulators to help develop principles of policy design for successful management of complex strategies. Considers the use of systems thinking to promote effective organizational learning. Restricted to Executive MBA students.

15.737 Advanced System Dynamics

Prereq: 15.736 or permission of instructor G (IAP) 3-0-0 units Credit cannot also be received for 15.872

Workshops focus on two models: the dynamics of service quality within a firm; and industry dynamics (particularly investment cycles and bubbles), including the energy and housing markets. Emphasis on formulation, analysis, use, and decision-making. Develops modeling skills. Restricted to Executive MBA and Sloan Fellows students.

15.738 Corporate Finance for Turbulence and Innovation

Prereq: 15.414 or 15.724 G (IAP) 1-0-2 units

Case studies and lectures introduce financial tools needed to make value-enhancing business decisions. Topics drawn from issues such as advanced valuation analysis, capital structure decisions, debt restructuring, bankruptcy, incentive problems, real options, and valuation of international projects. Restricted to Executive MBA and Sloan Fellow MBA students.

15.739 Discovering Your Leadership Signature

Prereq: None G (Fall) 3-0-6 units Credit cannot also be received for 15.318

Introspective course that helps students understand and develop their unique way of leading, i.e., their leadership signature. Students delve deeply into their patterns of leadership to understand what helps and hinders them in becoming a better leader. Substantial time spent learning how to effectively tell leadership stories and examine leadership identity, drawing on theory from the leadership literature, family systems, developmental psychology, personality psychology, and organizational change. Builds on the four capabilities (4-CAPS+) model and includes case studies, reflection, video analysis, and storytelling. Restricted to Executive MBA and Sloan Fellow MBA students.

15.740 Strategic Communication for Executives

Develops communication skills crucial to successful management. Focuses on identifying a range of communication styles, and recognizing how to use them; dealing successfully with challenging or hostile audiences; understanding cross-cultural and global communication issues and differences; and leading and communicating in a crisis situation. Restricted to Executive MBA and Sloan Fellows students.

15.741 Game Theory for Strategic Advantage

Prereq: None Acad Year 2023-2024: Not offered Acad Year 2024-2025: G (IAP) 1-0-2 units Credit cannot also be received for 15.025 , 15.0251

Leverages game theory — the analysis of multi-person decision problems — to develop interactive thinking in strategic environments. Students play and analyze games that arise frequently in business settings and discuss numerous real-world examples. Restricted to Executive MBA and Sloan Fellow MBA students.

15.742 Platform Strategy

Provides a framework for strategy for firms pursuing multi-sided platform business models. Emphasizes the development and application of conceptual frameworks that enable managers to make effective decisions as they seek to create value with a platform, and to capture value from it in the face of competition from other platform providers. Restricted to Executive MBA and Sloan Fellow MBA students.

Operations Management

15.761 introduction to operations management.

Prereq: 6.3700 , 15.060 , or permission of instructor G (Fall, Spring, Summer) 4-0-5 units Credit cannot also be received for 15.734 , 15.7611

Imparts concepts, techniques, and tools to design, analyze, and improve core operational capabilities and apply them to a broad range of domains and industries. Emphasizes the effect of uncertainty in decision-making, as well as the interplay among high-level financial objectives, operational capabilities, and people and organizational issues. Covers topics in capacity analysis, process design, process and business innovation, inventory management, risk pooling, supply chain coordination, sustainable operations, quality management, operational risk management, pricing and revenue management. Underscores how these topics are integrated with different functions of the firm. Case studies and simulation games provide experience in applying central concepts and techniques to solve real-world business challenges. Meets with 15.7611 when offered concurrently. Expectations and evaluation criteria differ for students taking graduate version. Summer section is primarily for Leaders for Global Operations students.

J. Jonasson, N. Trichakis

15.7611 Introduction to Operations Management

Prereq: 15.069 , 18.600 , or permission of instructor U (Spring) 4-0-5 units Credit cannot also be received for 15.734 , 15.761

Imparts concepts, techniques, and tools to design, analyze, and improve core operational capabilities and apply them to a broad range of domains and industries. Emphasizes the effect of uncertainty in decision-making, as well as the interplay among high-level financial objectives, operational capabilities, and people and organizational issues. Covers topics in capacity analysis, process design, process and business innovation, inventory management, risk pooling, supply chain coordination, sustainable operations, quality management, operational risk management, pricing and revenue management. Underscores how these topics are integrated with different functions of the firm. Case studies and simulation games provide experience in applying central concepts and techniques to solve real-world business challenges. Meets with 15.761 when offered concurrently. Expectations and evaluation criteria differ for students taking graduate version.

15.762[J] Supply Chain Analytics

Same subject as 1.273[J] , IDS.735[J] Prereq: 15.761 or SCM.260[J] G (Spring) 3-0-9 units

Focuses on effective supply chain strategies for companies that operate globally, with emphasis on how to plan and integrate supply chain components into a coordinated system. Students are exposed to concepts and models important in supply chain planning with emphasis on key tradeoffs and phenomena. Introduces and utilizes key tactics such as risk pooling and inventory placement, integrated planning and collaboration, and information sharing. Lectures, computer exercises, and case discussions introduce various models and methods for supply chain analysis and optimization.

N. Trichakis, S. Willems

15.763[J] Supply Chain: Capacity Analytics

Same subject as 1.274[J] , IDS.736[J] Prereq: 15.761 , 15.778 , or SCM.260[J] G (Spring; second half of term) Not offered regularly; consult department 2-0-4 units

Focuses on decision making for system design, as it arises in manufacturing systems and supply chains. Students exposed to frameworks and models for structuring the key issues and trade-offs. Presents and discusses new opportunities, issues and concepts introduced by the internet and e-commerce. Introduces various models, methods and software tools for logistics network design, capacity planning and flexibility, make-buy, and integration with product development. Industry applications and cases illustrate concepts and challenges. Recommended for Operations Management concentrators. Second half-term subject.

S.  Graves, N. Trichakis, S. Willems

15.764[J] The Theory of Operations Management

Same subject as 1.271[J] , IDS.250[J] Prereq: ( 6.7210[J] and 6.7700[J] ) or permission of instructor G (Spring) Not offered regularly; consult department 3-0-9 units Can be repeated for credit.

Provides mathematical foundations underlying the theory of operations management. Covers both classic and state-of-the-art results in various application domains, including inventory management, supply chain management and logistics, behavioral operations, healthcare management, service industries, pricing and revenue management, and auctions. Studies a wide range of mathematical and analytical techniques, such as dynamic programming, stochastic orders, principal-agent models and contract design, behavioral and experimental economics, algorithms and approximations, data-driven and learning models, and mechanism design. Also provides practical experience in how to apply the theoretical models to solve OM problems in business settings. Specific topics vary from year to year.

15.765[J] Global Supply Chain Management

Same subject as 1.265[J] , 2.965[J] , SCM.265[J] Prereq: 15.761 , 15.778 , SCM.260[J] , SCM.261[J] , or permission of instructor G (Spring) Not offered regularly; consult department 2-0-4 units

See description under subject SCM.265[J] .

15.768 Management of Services: Concepts, Design, and Delivery

Prereq: None. Coreq: 15.761 or 15.778 G (Fall) 3-0-6 units

Explores the use of operations tools and perspectives in the service sector, including both for-profit and not-for-profit organizations. Builds on conceptual frameworks and cases from a wide range of service operations, selected from health care, hospitality, internet services, supply chain, transportation, retailing, food service, entertainment, financial services, humanitarian services, government services, and others.

15.769 Operations Strategy

Prereq: 15.761 , 15.778 , or permission of instructor G (Spring) 3-0-6 units

Provides a unifying framework for analyzing strategic decisions in manufacturing and service operations. Covers decisions in technology, facilities, vertical integration, human resources, sourcing, supply chain, and other strategic areas. Examines how decisions in these areas can be made to align with business strategy, and emphasizes the concept of operations as a source of competitive advantage. Discusses operations strategy within the firm, across the supply chain, and for growth and new business models. Qualifies as an elective for the Sloan Sustainability Certificate.

T. Roemer, K. Zheng

15.770[J] Logistics Systems

Same subject as 1.260[J] , IDS.730[J] , SCM.260[J] Subject meets with SCM.271 Prereq: Permission of instructor G (Fall) 3-0-9 units

See description under subject SCM.260[J] .

C. Caplice, D. Correll

15.771[J] Case Studies in Logistics and Supply Chain Management

Same subject as 1.261[J] , SCM.261[J] Prereq: None G (Spring; second half of term) 2-0-4 units

See description under subject SCM.261[J] .

15.772[J] D-Lab: Supply Chains

Same subject as 2.771[J] , EC.733[J] Subject meets with 2.871 Prereq: None U (Spring) Not offered regularly; consult department 3-3-6 units

Introduces concepts of supply chain design and planning with a focus on supply chains for products destined to improve quality of life in developing countries. Topics include demand estimation, process analysis and improvement, facility location and capacity planning, inventory management, and supply chain coordination. Also covers issues specific to emerging markets, such as sustainable supply chains, choice of distribution channels, and how to account for the value-adding role of a supply chain. Students conduct D-Lab-based projects on supply chain design or improvement. Students taking graduate version complete additional assignments.

S. C. Graves

15.773 Hands-on Deep Learning

Prereq: None. Coreq: 15.071 or 15.072 ; or permission of instructor G (Spring; second half of term) 3-0-3 units

Fast-paced introduction to Deep Learning, the engine behind modern artificial intelligence, with an emphasis on developing a practical understanding of how to build models to solve complex problems involving unstructured data. Topics include the basics of deep neural networks and how to set up and train them, convolutional networks to process images and videos, transformers for natural language processing, generative large language models (such as ChatGPT), and text-to-image models (such as MidJourney). Prior familiarity with Python and fundamental machine learning concepts (such as training/validation/testing, overfitting/underfitting, and regularization) required.

R. Ramakrishnan, V. Farias

15.774 The Analytics of Operations Management

Prereq: None. Coreq: 15.060 ; or permission of instructor G (Fall) 3-0-9 units

Introduces core concepts and methods in data-driven modeling that inform and optimize decisions under uncertainty. Teaches modeling and computational skills (R and Python). Covers topics such as machine learning, time series forecasting, choice modeling, dynamic programming, mixed-integer programming, stochastic optimization, matching algorithms, and multi-armed bandits. Draws on real-world applications from retail, healthcare, logistics, supply chain, public sector, social applications, and online learning.

15.775 Analytics Proseminar

Provides opportunities to meet senior executives serving in top analytics and data science functions within a variety of organizations across industries. Discusses key business analytics issues from the perspective of top management. Students prepare detailed briefings identifying and exploring important analytics issues facing these organizations.

15.777 Healthcare Lab: Introduction to Healthcare Delivery in the United States

Prereq: 15.060 and 15.761 G (Fall, IAP) 4-0-11 units

Focuses on the business challenges and opportunities to deliver high-quality and reasonably-priced health services, mainly in the United States. Provides an opportunity to interact with guest speakers and senior executives from the health sector. Topics include aspects of healthcare delivery operations and how they are affected by healthcare reform policies, alternative payment models, population health perspectives, and social determinants of health. Discussions include examples from the ongoing healthcare-related work of Sloan faculty, as well as the potential for analytics and digitization to impact healthcare delivery. Provides a broad perspective on various career paths, such as consulting, entrepreneurship, delivery system management, and digital innovation development. Student teams work with a provider, supplier or healthcare-related startup organization on an applied project. Includes on-site work during fall and IAP.

A. Quaadgras, J. Jonasson

15.778 Introduction to Operations Management

Prereq: None G (Summer) 3-0-6 units

Integrated approach to the analysis, design and management of supply networks for products and services. Provides a framework for analysis, design and operation of supply chains (SCs) that relies on fundamental concepts, such as the management of inventory, and operations and logistics planning. Discusses the value of (timely) information and of the need for collaboration and coordination between SC players. Also presents conceptual frameworks that focus on the emergence of a wide range of enabling services that are critical to the survival and growth of this class of system. Includes study and discussion of concepts, examples, and case studies from a wide range of industries. Guest speakers present personal experiences on various aspects of the service industry and supply chains. Restricted to Sloan Fellow MBAs.

15.779 Technology, Design and Entrepreneurship: Operating in Emerging Communities

Subject meets with 15.781 Prereq: Permission of instructor G (Spring) Not offered regularly; consult department 3-0-3 units

Designed for students working on solutions for resource-constrained communities. Examines downstream issues surrounding the adoption, distribution, and scaling (via business, non-profit, or public policy channels) of new solutions in an international development context. Focuses on implementing solutions as well as understanding the impact of interventions proposed.

C. Vaishnav, D. Rigos, R. Stoner, C. Fine

15.780 Analytics of Operations Management

Prereq: 6.3700 , 15.069 , or permission of instructor U (Fall) 3-0-9 units

Introduces core concepts in data-driven modeling that inform and optimize business decisions under uncertainty. Covers models and frameworks, such as machine learning, time series forecasting, dynamic programming, stochastic optimization, and multi-armed bandits. Draws on real-world applications, with several examples from retail, healthcare, logistics, supply chain, and public sector.

15.781 Technology, Design and Entrepreneurship: Operating in Emerging Communities

Subject meets with 15.779 Prereq: Permission of instructor G (Spring) Not offered regularly; consult department 2-0-1 units

Designed for students working on solutions for resource-constrained communities. Examines downstream issues surrounding the adoption, distribution, and scaling (via business, non-profit, or public policy channels) of new solutions in an international development context. Focuses on implementing solutions as well as understanding the impact of interventions proposed. Restricted to Tata Fellows.

15.782 Product Development Methods

Prereq: None G (Spring) 3-0-0 units

Covers modern tools and methods for product design and development, including human-centered design, agile development, product planning, identifying customer needs, concept generation, product architecture, industrial design, concept design, sustainable design methods, and product management. Limited enrollment.

S. Eppinger, M. Yang

15.783[J] Product Design and Development

Same subject as 2.739[J] Prereq: 2.009 , 15.761 , 15.778 , 15.814 , or permission of instructor G (Spring) 3-3-6 units

Covers modern tools and methods for product design and development. Includes a cornerstone project in which teams conceive, design and prototype a physical product and/or service. Covers human-centered design, agile development, product planning, identifying customer needs, concept generation, product architecture, industrial design, concept design, green design methods, and product management. Sloan students register via Sloan course bidding. Engineering students accepted via lottery based on WebSIS pre-registration.

S. Eppinger, M. C. Yang

15.784 Operations Laboratory

Prereq: None. Coreq: 15.761 G (Spring) 2-3-4 units

Provides an interactive learning experience in implementing operations improvement and an opportunity to work on challenging operations problems across industries in the Boston area, across the United States, and abroad. Teams of three to four students use their training and experience to help improve operations in organizations that range from small and medium businesses to multi-national corporations. Teams conduct term-long projects via remote interactions with companies, and travel to work on-site at the client company during the Sloan Innovation Period. Boston-area projects involve periodic visits throughout the term.

15.785 Product Management

Prereq: None G (Spring; first half of term) 2-0-4 units Credit cannot also be received for 15.786

Introduction to product management with an emphasis on its role within technology-driven enterprises. Topics include opportunity discovery, product-technology roadmapping, product development processes, go-to-market strategies, product launch, lifecycle management, and the central role of the product manager in each activity. Exercises and assignments utilize common digital tools, such as storyboarding, wireframe mock-ups, and A/B testing. Intended for students seeking a role in a product management team or to contribute to product management in a new enterprise.

V. Farias, C. Fine

15.786 Product Management with Lab

Prereq: None. Coreq: 15.761 ; permission of instructor G (IAP, Spring; first half of term) 3-0-9 units Credit cannot also be received for 15.785

Adds an action learning component to 15.785 . Students are matched with partner companies and contribute (over IAP) to a PM-related project at the company. Students must register for both IAP and spring to receive credit and participate in the company project.

15.792[J] Global Operations Leadership Seminar

Same subject as 2.890[J] , 10.792[J] , 16.985[J] Prereq: None G (Fall, Spring) 2-0-0 units Can be repeated for credit.

Integrative forum in which worldwide leaders in business, finance, government, sports, and education share their experiences and insights with students aspiring to run global operations. Students play a large role in managing the seminar. Preference to LGO students.

15.794 Research Project in Operations

Prereq: Permission of instructor G (Fall, IAP, Spring, Summer) Units arranged Can be repeated for credit.

Required course designed for Leaders for Global Operations (LGO) students in conjunction with on-site projects at LGO partner companies. Internship experience must be at least 1,000 hours in length over 25-week period over the course of two academic terms, and students enter a formal agreement with their internship host company. Students work on faculty-supervised thesis research projects that deal with a specific aspect of operations, informed by this experience. Students' completion of requirements will be certified by faculty advisor. Students are required to summarize their work in the context of understanding organization, leadership, teamwork, and task management, in conjunction with 15.317 .

15.799 Workshop in Operations Management

Prereq: None G (Fall, Spring) Units arranged Can be repeated for credit.

Presentations by faculty, doctoral students, and guest speakers of ongoing research relating to current issues in operations management, including reports of research projects (proposed or in progress) and informal discussions of recent literature dealing with subjects of special interest to participants. Primarily for doctoral students.

15.809 Introduction to Marketing and Strategy

Introduces the core strategic framework used to evaluate the attractiveness of different markets. Reviews the methods that firms can use to optimize their profits in the markets that they choose to target. Restricted to Sloan Fellow MBAs.

D. Simester

15.814 Marketing Innovation

Prereq: None G (Fall, Spring) 3-0-6 units Credit cannot also be received for 15.732 , 15.8141

Develops the skills necessary to market innovations, including new products, services, concepts, and customer experiences. Covers how to select the right market, target that market effectively, position a product or service for maximum success, and combine analytics, frameworks, and research for maximum potential. Emphasizes both marketing theory and practice: proven solutions to marketing problems, case sessions to illustrate the application of these techniques in various industries, and practice sessions to apply these techniques to real problems.

Consult J. Hauser, J. Zhang

15.8141 Marketing Innovation

Prereq: None U (Spring) 3-0-6 units Credit cannot also be received for 15.732 , 15.814

15.815 Applied Behavioral Economics

Prereq: None G (Spring; second half of term) 3-0-6 units

Introduction to behavioral economics for future managers, analysts, consultants or advisors to private and public enterprises. Presents basic principles of behavioral economics, and selected applications to marketing, management, finance, and public policy. Focuses on hidden influences, habits, and irrationalities in our behavior. Treats departures from 'rational behavior' as opportunities - for individuals to improve themselves, for companies to solve consumers' problems, for society to create new institutions and policies.

15.818 Pricing

Prereq: 15.809 , 15.814 , or permission of instructor G (Fall; first half of term) 3-0-3 units Credit cannot also be received for 15.726

Framework for understanding pricing strategies and analytics, with emphasis on entrepreneurial pricing. Topics include economic value analysis, elasticities, customization, complementary products, pricing in platform markets, and anticipating competitive responses.

15.819 Marketing and Product Analytics

Prereq: 15.809 , 15.814 , or permission of instructor G (Spring) 3-0-6 units

Uses quantitative data to inform, make, and automate marketing decisions, including growth marketing, product design, pricing and promotions, advertising, and customer retention. Topics include creating metrics, randomized experiments, models for targeting, network effects, and analyzing launches. Features lectures, industry examples and guests, and data analysis assignments supported by in-class labs. Draws inspiration from the internet industry, but applications span many industries.

15.821 Listening to the Customer

Prereq: 15.809 , 15.814 , or permission of instructor Acad Year 2023-2024: Not offered Acad Year 2024-2025: G (Spring; first half of term) 3-0-3 units

Introduces proven methods for listening to customers and understanding their needs in order to generate new ideas to build the top line. Students practice experiential interviewing and discuss how to use metaphor analysis, observation, the voice of the customer, and other methods to uncover customer needs.

15.822 Strategic Market Measurement

Prereq: None G (Spring; second half of term) Not offered regularly; consult department 3-0-3 units

Project subject teaches students how to create, carry out, interpret, and analyze a market research questionnaire. Emphasis on discovering market structure and segmentation, but students can pursue other project applications. Includes a user-oriented treatment of multivariate analysis (factor analysis, multidimensional scaling, conjoint and cluster analysis).

15.830 Enterprise Management Lab

Prereq: None. Coreq: 15.761 , 15.814 , or 15.900 G (Fall, IAP) 3-0-6 units

Lays the foundation for the Enterprise Management (EM) Track by developing students' ability to apply integrated management perspectives and practices through action-learning. Small teams of students deliver quality deliverables by working on projects for large organizations and emergent innovators that integrate marketing, operations, and/or strategy. Students engage with faculty mentors and guest faculty speakers from marketing, strategy, and operations. Promotes a holistic cross-functional approach to addressing business issues. Significant class time allocated to team collaboration on projects. Students must register for both the fall term and IAP. Restricted to Sloan MBA and Sloan Fellow MBA students in EM Track.

S. Chatterjee

15.833 Business-to-Business Marketing

Prereq: 15.809 , 15.814 , or permission of instructor G (Fall; second half of term) 3-0-3 units

Applies marketing concepts, analyses and tools used in business-to-business (B2B) marketing. Develops an understanding of customer value management and value quantification as a strategy for delivering superior value to targeted business segments while maintaining equitable returns. Focuses on B2B pricing, brand building, web and technology facilitation of the supply chain, and customer relationship management. Underscores sales force management within the context of go-to-market strategy; however, does not address selling per se. Discusses ethical issues and various B2B contexts, such as products and services, for- and non-profits, and domestic and global markets. Emphasizes applications in technology and healthcare domains. Includes value-based pricing project, case studies, applied exercises, and readings.

15.834 Marketing Strategy

Prereq: 15.809 , 15.814 , or permission of instructor G (Spring; first half of term) Not offered regularly; consult department 4-0-2 units

Prepares students to formulate the marketing component of overall corporate strategy. Students examine three types of situations: some in which firms leverage their existing competitive advantages; some in which they build new competitive advantages; and some in which a seemingly weaker competitor, such as a start-up, leapfrogs a larger incumbent. Presents material through a combination of cases, lectures, and a group project.

B. Wernerfelt

15.835 Entrepreneurial Marketing

Explores a basic marketing framework in depth as it applies to start-ups. Students then apply this framework to a project.

15.838 Research Seminar in Marketing

Prereq: None G (Fall, Spring) 3-0-6 units Can be repeated for credit.

Seminar on current marketing literature and current research interests of faculty and students. Topics such as marketing models, consumer behavior, competitive strategy, marketing experimentation, and game theory. Restricted to doctoral students.

D. Eckles, D. Prelec

15.839 Workshop in Marketing

Prereq: Permission of instructor G (Fall, Spring) Units arranged [P/D/F] Can be repeated for credit.

Presentations by faculty, doctoral students, and guest speakers of ongoing research relating to current issues in marketing. Topics: reports of research projects (proposed or in progress) and informal discussions of recent literature dealing with subjects of special interest to participants. Restricted to doctoral students.

15.840-15.843 Seminar in Marketing

Prereq: 15.810 G (Fall) Not offered regularly; consult department Units arranged Can be repeated for credit.

Group study of current topics related to marketing.

15.846 Branding

Prereq: 15.809 , 15.814 , or permission of instructor G (Spring; second half of term) 3-0-3 units

Provides a foundation for building, managing, and defending brands at various stages in the brand life cycle. Introduces the fundamentals of customer experience, brand architecture, and management strategies relevant for B2C and B2B Marketing. Examples from a variety of industries cover topics that include brand co-creation, diffusion, imitation, and authenticity. Explores theory and practice using cases and behavioral academic research. Also looks at the development of leadership branding.

15.847[J] Consumer Behavior

Same subject as 9.550[J] Prereq: 15.809 , 15.814 , or permission of instructor G (Fall) 3-0-6 units Credit cannot also be received for 9.55[J] , 15.8471[J]

Examines the behavior of consumers through the lens of behavioral economics, cognitive science, and social psychology. Reviews theory and research and brings this knowledge to bear on a wide range of applications in business and public policy. Lectures are combined with cases, guest speakers, and brainstorming sessions where students work in teams to apply concepts to real-world problems. Meets with 15.8471[J] when offered concurrently. Expectations and evaluation criteria may differ for students taking the graduate version; consult syllabus or instructor for specific details.

15.8471[J] Consumer Behavior

Same subject as 9.55[J] Prereq: None U (Fall) 3-0-6 units Credit cannot also be received for 9.550[J] , 15.847[J]

Examines the behavior of consumers through the lens of behavioral economics, cognitive science, and social psychology. Reviews theory and research and brings this knowledge to bear on a wide range of applications in business and public policy. Lectures are combined with cases, guest speakers, and brainstorming sessions where students work in teams to apply concepts to real-world problems. Meets with 15.847[J] when offered concurrently. Expectations and evaluation criteria may differ for students taking the graduate version; consult syllabus or instructor for specific details.

System Dynamics

15.871 introduction to system dynamics.

Prereq: Permission of instructor G (Fall, Spring; first half of term) 3-0-3 units Credit cannot also be received for 15.736 , 15.873 , 15.8731

Introduction to systems thinking and system dynamics modeling applied to strategy, organizational change, and policy design. Students use simulation models, management flight simulators, and case studies to develop conceptual and modeling skills for the design and management of high-performance organizations in a dynamic world. Case studies of successful applications of system dynamics in growth strategy, management of technology, operations, public policy, product development, and others. Principles for effective use of modeling in the real world. Meets with 15.873 first half of term when offered concurrently. Students taking 15.871 complete additional assignments.

J. Chu, V. Yang, D. Keith

15.872 System Dynamics II

Prereq: 15.871 G (Spring; second half of term) Not offered regularly; consult department 3-0-3 units Credit cannot also be received for 15.737

Emphasizes tools and methods needed to apply systems thinking and simulation modeling successfully in diverse real-world settings, including supply chains, forecasting, project management, process improvement, service operations, and platform-based businesses, among others. Uses simulation models, management flight simulators, and case studies to deepen the conceptual and modeling skills introduced in 15.871 . Through models and case studies of successful applications students develop proficiency in how to use qualitative and quantitative data to formulate and test models, and how to work effectively with senior executives to implement change successfully. Expectations and evaluation criteria differ for students taking half-term graduate version; consult syllabus or instructor for specific details.

15.873 System Dynamics for Business and Policy

Prereq: None G (Fall, Spring) 3-0-6 units Credit cannot also be received for 15.736 , 15.871 , 15.8731

Focuses on developing the skills and tools needed to successfully apply systems thinking and simulation modeling in diverse real-world settings, including growth strategy, management of technology, operations, public policy, product development, supply chains, forecasting, project management, process improvement, service operations, and platform-based businesses, among others. Uses simulation models, management flight simulators, and case studies to deepen conceptual and modeling skills beyond what is introduced in 15.871 . Exploring case studies of successful applications, students develop proficiency in how to use qualitative and quantitative data to formulate and test models, and how to work effectively with senior executives to successfully implement change. Prepares students for further work in the field. Meets with 15.871 in first half of term when offered concurrently. Students taking 15.871 complete additional assignments.

15.8731 System Dynamics: Tools for Solving Complex Problems

Prereq: None U (Fall, Spring) 3-0-6 units Credit cannot also be received for 15.736 , 15.871 , 15.873

Introduction to field of system dynamics. Builds on ideas of control theory to understand dynamics of social, technological and organizational systems. Focuses on developing skills and tools needed to successfully apply systems thinking and simulation modeling in diverse real-world settings, including sustainability, strategy, project management, product development, public policy, healthcare, forecasting, platform-based businesses, and others. Utilizes simulation models, management flight simulators, and case studies to deepen conceptual and modeling skills. Develops proficiency in using qualitative and quantitative data to formulate and test models and how to work effectively with policy makers and executives to successfully implement change. Meets with 15.873 when offered concurrently. Expectations and evaluation criteria may differ for students taking the graduate version; consult syllabus or instructor for specific details.

J. Chu, V. Yang

15.874[J] People and the Planet: Environmental Governance and Science

Same subject as 12.387[J] , IDS.063[J] Prereq: None U (Fall) 3-0-6 units

See description under subject 12.387[J] .

N. Selin, S. Solomon, J. Sterman

15.878 Sustainable Business Lab

Prereq: None. Coreq: 15.915 G (Spring) 3-0-6 units

Integrative experience that explores the complex set of circumstances and choices leaders must face in light of uncertain environmental and social consequences. Drawing on academic and practical experiences, students engage in a semester-long project focused on a host organization's sustainability challenge. Peer-to-peer learning accompanies in-class cases, simulations, and role-playing to provide students with practical skills for application in projects and for careers beyond. A shared deep dive into a systemic challenge provides a chance for students across programs to reflect and engage in dialogue about the ethical landscape of business. Through personal reflection and career visioning, students clarify their own personal commitments to leadership and change.

J. Jay, B. Patten

15.879 Research Seminar in System Dynamics

Prereq: 15.873 and permission of instructor G (Fall, Spring) 3-0-9 units Can be repeated for credit.

Doctoral seminar in system dynamics modeling, with a focus on building advanced modeling and research skills. Topics vary from year to year and may include: classic works in dynamic modeling from various disciplines (e.g., psychology, sociology, behavioral economics) and current research problems and papers; advanced system dynamics models focused on research and practical problems of interest to students; analytic tools and methods for model development, estimation, and analysis (e.g., automating modeling workflow, maximum likelihood, simulated method of moments, dynamical games, dynamic programming); bootcamp for enhancing modeling skills working on multiple problem sets.

Consult J. Chu, V. Yang

Strategic Management

15.900 competitive strategy.

Prereq: None G (Fall, Spring) 3-0-6 units Credit cannot also be received for 15.9001

Explores a wide range of strategic problems, focusing particularly on the sources of competitive advantage and the interaction between industry structure and organizational capabilities. Introduces a wide variety of modern strategy frameworks and methodologies. Builds upon and integrates material from core topics, such as economics and organizational processes. Meets with 15.9001 when offered concurrently. Expectations and evaluation criteria differ for students taking graduate version; consult syllabus or instructor for specific details.

D. Sull, P. Azoulay

15.9001 Competitive Strategy

Prereq: None U (Spring; first half of term) 3-0-6 units Credit cannot also be received for 15.900

Explores a wide range of strategic problems, focusing particularly on the sources of competitive advantage and the interaction between industry structure and organizational capabilities. Introduces a wide variety of modern strategy frameworks and methodologies. Builds upon and integrates material from core topics, such as economics and organizational processes. Meets with 15.900 when offered concurrently. Expectations and evaluation criteria differ for students taking graduate version; consult syllabus or instructor for specific details.

G. Rilinger

15.902 Advanced Strategic Management

Prereq: Permission of instructor G (Spring; first half of term) Not offered regularly; consult department 3-0-3 units Credit cannot also be received for 15.714

Focuses on developing skills and applying frameworks for the conduct of competitive and corporate strategy. Develops tools from earlier core subjects, especially those from strategic marketing, organizational processes, innovation-driven advantage, and economics. Emphasis is placed on the role of strategic commitments, social networks, strategic coherence, and adapting to environmental and technological change. Restricted to MIT Sloan Fellows.

15.903 Managing the Modern Organization: Organizational Economics and Corporate Strategy

Prereq: 15.010 and 15.311 G (Spring; second half of term) 3-0-3 units

Focuses on how managers build and manage complex organizations to achieve strategic goals (e.g., competitive advantages for firms). Develops theoretical frameworks that build on 15.010 and 15.311 . Applies these frameworks to corporate strategy, with an emphasis on managerial practices as key drivers of organizational success.

15.904 Strategy and the CEO

Prereq: 15.900 or permission of instructor Acad Year 2023-2024: Not offered Acad Year 2024-2025: G (Spring; second half of term) 3-0-3 units

Builds on 15.900 and 15.902 to explore key concepts that have shaped the field of strategic management teaching and strategy consulting over the past several decades. Uses lectures, readings, case studies, and videos to review the evolution of strategy teaching, research, and practice; differences between analytical versus prescriptive tools for strategic thinking and planning; external versus internal influences on financial results; and sources of enduring competitive advantage. Key themes include the role of CEO leadership in strategy formulation and execution, how to view company performance in context, and the role of platform strategies as a tool for competition in the digital age.

15.906 Competitive Strategy Boot Camp (New)

Prereq: 15.809 G (Fall; first half of term) 2-0-1 units

Introduces a variety of modern strategy frameworks and methodologies to develop the skills needed to be a successful manager. Cases and readings explore a range of strategic problems, focusing particularly value capture, the sources of competitive advantage and the interaction between industry structure and organizational capabilities. Restricted to Sloan Fellow MBA students.

15.910 Innovation Strategy

Establishes a solid foundation for students interested in formulating and executing a strategy for developing new-to-the-world products in a technology-intensive business. Clarifies the interactions among competition, patterns of technological and market change, and the development of internal firm capabilities. Topics include "crossing the chasm" with new technologies, appropriating the returns from innovation, platform strategy, and the role of intellectual property and government regulations. Key conceptual frameworks are linked to applications in a variety of industry and case settings.

15.911 Entrepreneurial Strategy

Prereq: None G (Fall, Spring; second half of term) 6-0-3 units Credit cannot also be received for 15.715

Teaches an integrated strategy framework for start-ups. Provides a deep understanding of the core strategic choices facing innovation-based entrepreneurs, a synthetic framework for the process of choosing and the implementation of entrepreneurial strategy, and the core challenges and approaches for scaling ventures over time. Highlights the process of how to choose an entrepreneurial strategy, the specific choices that matter, how key choices fit together to form an overall entrepreneurial strategy, and the playbook for particular strategies for startups.

S. Stern, E. Scott

15.912 Strategic Management of Innovation and Entrepreneurship

Prereq: 15.910 , 15.911 , or permission of instructor G (Spring; second half of term) Not offered regularly; consult department 3-0-3 units

Provides a series of strategic frameworks for managing high-technology businesses with a particular focus on innovation and entrepreneurship, especially as it builds upon patterns of technological and market change, prior research on product development and new ventures, and the structure and development of organizational capabilities. Includes case analyses and simulations, as well as independent readings drawn from research in technological innovation, entrepreneurial management, and organizational theory.

15.913 Strategies for Sustainable Business

Develops a pragmatic, action-oriented approach to sustainability: the alignment between healthy businesses, healthy environments, healthy societies, and an economy that meets human needs. In-class simulations and role-playing provide a robust foundation for understanding sustainability challenges. Cases analyze innovative strategies for sustainable businesses and organizations. Class discussions explore how sustainability is changing existing business models and market structures, how to develop sustainable management practices, and how firms can implement those practices successfully.

M. Amengual, J. Jay, J. Sterman

15.914 Competitive Dynamics and Strategy: Winning in Technology Markets

Prereq: 15.872 and ( 15.369 , 15.567 , 15.900 , or 15.902 ) G (Spring) Not offered regularly; consult department 2-0-7 units

Focuses on competitive strategy in technology-driven markets. Students acquire a portfolio of models of the signature dynamics in these markets and use the models in projects with participating companies to analyze technology markets, formulate competitive strategies, and illuminate the challenges of execution. Addresses issues critical for both established incumbents and new market entrants. Restricted to graduate students.

15.915 Business Strategies for a Sustainable Future

J. Jay, B. Patten, J. Sterman, J. de Zegher

15.928 The Sociology of Strategy

Prereq: 15.342 Acad Year 2023-2024: Not offered Acad Year 2024-2025: G (Spring) 3-0-9 units

Doctoral seminar in theory building for social scientists interested in economic sociology, organization theory, strategic management, and related fields. Builds skills for developing social scientific theory. Focuses on assessing and developing the relevance of sociological research for key questions in strategy research: what explains the relative performance of firms and the variety of their strategies for achieving performance. Students also develop skills in evaluating academic research in this area. Restricted to doctoral students.

E. Zuckerman

15.929 Identity and Action

Prereq: 15.342 Acad Year 2023-2024: G (Spring) Acad Year 2024-2025: Not offered 3-0-9 units

Doctoral seminar in theory building for social scientists. Primary goal is to build skills for developing social scientific theory. Secondary goals are to review and integrate a broad array of ideas concerning the foundations of identity and its relation to action, and to suggest how such issues relate to a broader set of questions in the social sciences. Students learn that any account of action is based on ascribing desires, beliefs, and opportunities to specific actors, but such actors cannot be easily explained except as a result of action by prior actors. The focus of this course is around developing this paradox and providing a foundation for resolving it. Restricted to doctoral students.

15.933 Strategic Opportunities in Energy

Prereq: 15.900 or permission of instructor G (Fall; first half of term) Not offered regularly; consult department 4-0-2 units

Introduces the energy system in terms of sources and uses, market characteristics, and key metrics. Provides frameworks for understanding the structure and dynamics of the sector and the drivers of the energy future. Opportunities resulting from demand growth, supply challenges, environmental constraints, security of supply, technology breakthroughs, and regulation are analyzed from the perspectives of both established players and entrepreneurs. Student teams engage in projects that evaluate a segment of the energy landscape and develop a strategic prospectus for a new business opportunity.

15.941[J] Leadership in Real Estate

Same subject as 11.430[J] Prereq: None G (Fall; first half of term) 3-0-3 units

See description under subject 11.430[J] . Limited to 15.

15.949 Seminar in Strategy

Opportunity for group study by graduate students on current topics related to strategy.

Consult E. Zuckerman

Special Subjects

15.s01 special seminar in management.

Prereq: Permission of instructor G (Fall, Summer) Units arranged Can be repeated for credit.

Opportunity for group study by graduate students on current topics related to management not otherwise included in curriculum.

Consult Sloan Educational Services

15.S02 Special Seminar in Management

Prereq: Permission of instructor G (Fall, Spring) Units arranged Can be repeated for credit.

15.S03 Special Seminar in Management

Prereq: Permission of instructor G (Fall, IAP, Spring) Units arranged Can be repeated for credit.

15.S04 Special Seminar in Management

Prereq: Permission of instructor G (Spring; second half of term) Units arranged Can be repeated for credit.

15.S05 Special Seminar in Management

Prereq: Permission of instructor G (Fall, Spring, Summer; second half of term) Units arranged Can be repeated for credit.

15.S06 Special Seminar in Management

Prereq: Permission of instructor G (IAP, Spring; first half of term) Units arranged Can be repeated for credit.

15.S07 Special Seminar in Management

15.s08 special seminar in management, 15.s09 special seminar in management.

Prereq: Permission of instructor G (Spring) Units arranged Can be repeated for credit.

Consult Department Headquarters

15.S10 Special Seminar in Management

Group study of current topics related to management not otherwise included in curriculum. Consult Department headquarters.

15.S11 Special Seminar in Management

Prereq: Permission of instructor G (Spring, Summer) Units arranged Can be repeated for credit.

15.S10-15.S12 Special Seminar in Management

15.s13 special seminar in management.

Prereq: Permission of instructor G (IAP) Units arranged Can be repeated for credit.

Consult Sloan Education Services

15.S14 Special Seminar in Management

Prereq: Permission of instructor G (Spring, Summer; first half of term) Units arranged Can be repeated for credit.

15.S15 Special Seminar in Management

Group study of current topics related to management not otherwise included in curriculum.

15.S16 Special Seminar in Management

15.s17 special seminar in management.

Prereq: Permission of instructor G (Spring, Summer; second half of term) Units arranged Can be repeated for credit.

Consult: Sloan Educational Services

15.S18 Special Seminar in Management

15.s19 special seminar in management.

Prereq: Permission of instructor G (IAP, Spring, Summer) Units arranged Can be repeated for credit.

15.S20-15.S26 Special Seminar in Management

Group study of current topics related to management not otherwise included in curriculum. Coursework may continue into the following term.

15.S30 Special Distance Learning Seminar in Management

Group study through distance learning on current topics related to management.

15.S31 Special Distance Learning Seminar in Management

Prereq: None G (IAP, Summer) Units arranged Can be repeated for credit.

15.S32 Special Distance Learning Seminar in Management

15.s33 special distance learning seminar in management.

Prereq: None G (Summer) Units arranged Can be repeated for credit.

15.S35-15.S38 Special Distance Learning Seminar in Management

Prereq: None G (IAP) Units arranged [P/D/F] Can be repeated for credit.

15.S40 Special Seminar in Management

Prereq: None U (IAP, Spring) Units arranged [P/D/F] Can be repeated for credit.

15.S41 Special Seminar in Management

Prereq: None U (IAP) Units arranged [P/D/F] Can be repeated for credit.

15.S42 Special Seminar in Management

Prereq: None U (IAP) Units arranged Can be repeated for credit.

15.S43 Special Seminar in Management

Prereq: None U (Fall; first half of term) Units arranged Can be repeated for credit.

15.S44 Special Seminar in Management

Prereq: None U (Fall) Units arranged Can be repeated for credit.

15.S45 Special Seminar in Management

15.s46 special seminar in management, 15.s47 special seminar in management.

Prereq: None U (Fall, IAP) Units arranged Can be repeated for credit.

Consult Undergraduate Program Headquarters

15.S50 Special Seminar in Management

Prereq: Permission of instructor G (Fall, IAP) Units arranged [P/D/F] Can be repeated for credit.

15.S51 Special Seminar in Management

Prereq: Permission of instructor G (Fall, IAP, Summer; second half of term) Units arranged [P/D/F] Can be repeated for credit.

15.S52 Special Seminar in Management

Prereq: Permission of instructor G (IAP) Units arranged [P/D/F] Can be repeated for credit.

15.S53 Special Seminar in Management

15.s54 special seminar in management.

Prereq: Permission of instructor G (IAP, Spring, Summer) Units arranged [P/D/F] Can be repeated for credit.

15.S55 Special Seminar in Management

15.s56 special seminar in management, 15.s57 special seminar in management.

Prereq: Permission of instructor G (IAP, Summer) Units arranged [P/D/F] Can be repeated for credit.

15.S58 Special Seminar in Management

15.s59 special seminar in management, 15.s60 special seminar in management, 15.s61 special seminar in management, 15.s62 special seminar in management, 15.s63 special seminar in management, 15.s64 special seminar in management.

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Thesis, research, and practice, 15.uar[j] climate and sustainability undergraduate advanced research.

Same subject as 1.UAR[J] , 3.UAR[J] , 5.UAR[J] , 11.UAR[J] , 12.UAR[J] , 22.UAR[J] Prereq: Permission of instructor U (Fall, Spring) 2-0-4 units Can be repeated for credit.

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15.951 Independent Study in Management

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For Course 15 undergraduate students participating in management curriculum-related off-campus internship experiences. Students must have an employment offer from a company or organization and must find a Sloan faculty supervisor before enrolling. Consult Sloan Undergraduate Education Office

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15.961 independent study in management, 15.998 independent group study in action learning.

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Consult T. Walor

15.999 Internship

Prereq: None G (Fall, IAP, Spring, Summer) Units arranged [P/D/F] Can be repeated for credit.

Elective subject in which students participate in an off-campus internship experience and apply topics of management and/or culture to their experience. Requirements include mandatory attendance at one workshop and a written deliverable. Internship experience must be at least two weeks in length, and students must have a formal offer letter from host employer/organization. Restricted to MIT Sloan students who wish to intern in an area related to their field of study. Additional restrictions may apply.

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• An Australian bachelor degree or equivalent in any discipline 
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Business analytics professionals-data analysts, marketing analysts, product analysts, predictive analytics professionals focus on logical thinking, statistical analysis and predictive analytics to solve business problems.

Business analytics professionals may work with internal and external clients, but their focus is to improve the product, marketing or customer experience by using insights from data.

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The recent ransomware attack on Change Healthcare, which severed the network connecting health care providers, pharmacies, and hospitals with health insurance companies, demonstrates just how disruptive supply chain attacks can be. In this case, it hindered the ability of those providing medical services to submit insurance claims and receive payments. This sort of attack and other forms of data theft are becoming increasingly common and often target large, multinational corporations through the small and mid-sized vendors in their corporate supply chains, enabling breaks in these enormous systems of interwoven companies. Cybersecurity researchers at MIT and the Hasso Plattner Institute (HPI) in Potsdam, Germany, are focused on the different organizational security cultures that exist within large corporations and their vendors because it’s that difference that creates vulnerabilities, often due to the lack of emphasis on cybersecurity by the senior leadership in these small to medium-sized enterprises (SMEs). Keri Pearlson, executive director of Cybersecurity at MIT Sloan (CAMS); Jillian Kwong, a research scientist at CAMS; and Christian Doerr, a professor of cybersecurity and enterprise security at HPI, are co-principal investigators (PIs) on the research project, “Culture and the Supply Chain: Transmitting Shared Values, Attitudes and Beliefs across Cybersecurity Supply Chains.”

Their project was selected in the 2023 inaugural round of grants from the HPI-MIT Designing for Sustainability program , a multiyear partnership funded by HPI and administered by the MIT Morningside Academy for Design (MAD). The program awards about 10 grants annually of up to $200,000 each to multidisciplinary teams with divergent backgrounds in computer science, artificial intelligence, machine learning, engineering, design, architecture, the natural sciences, humanities, and business and management. The 2024 Call for Applications is open through June 3. Designing for Sustainability grants support scientific research that promotes the United Nations’ Sustainable Development Goals (SDGs) on topics involving sustainable design, innovation, and digital technologies, with teams made up of PIs from both institutions. The PIs on these projects, who have common interests but different strengths, create more powerful teams by working together.

Transmitting shared values, attitudes, and beliefs to improve cybersecurity across supply chains

The MIT and HPI cybersecurity researchers say that most ransomware attacks aren’t reported. Smaller companies hit with ransomware attacks just shut down, because they can’t afford the payment to retrieve their data. This makes it difficult to know just how many attacks and data breaches occur. “As more data and processes move online and into the cloud, it becomes even more important to focus on securing supply chains,” Kwong says. “Investing in cybersecurity allows information to be exchanged freely while keeping data safe. Without it, any progress towards sustainability is stalled.”

One of the first large data breaches in the United States to be widely publicized provides a clear example of how an SME cybersecurity can leave a multinational corporation vulnerable to attack. In 2013, hackers entered the Target Corporation’s own network by obtaining the credentials of a small vendor in its supply chain: a Pennsylvania HVAC company. Through that breach, thieves were able to install malware that stole the financial and personal information of 110 million Target customers, which they sold to card shops on the black market.

To prevent such attacks, SME vendors in a large corporation’s supply chain are required to agree to follow certain security measures, but the SMEs usually don’t have the expertise or training to make good on these cybersecurity promises, leaving their own systems, and therefore any connected to them, vulnerable to attack.

“Right now, organizations are connected economically, but not aligned in terms of organizational culture, values, beliefs, and practices around cybersecurity,” explains Kwong. “Basically, the big companies are realizing the smaller ones are not able to implement all the cybersecurity requirements. We have seen some larger companies address this by reducing requirements or making the process shorter. However, this doesn’t mean companies are more secure; it just lowers the bar for the smaller suppliers to clear it.”

Pearlson emphasizes the importance of board members and senior management taking responsibility for cybersecurity in order to change the culture at SMEs, rather than pushing that down to a single department, IT office, or in some cases, one IT employee.

The research team is using case studies based on interviews, field studies, focus groups, and direct observation of people in their natural work environments to learn how companies engage with vendors, and the specific ways cybersecurity is implemented, or not, in everyday operations. The goal is to create a shared culture around cybersecurity that can be adopted correctly by all vendors in a supply chain.

This approach is in line with the goals of the Charter of Trust Initiative, a partnership of large, multinational corporations formed to establish a better means of implementing cybersecurity in the supply chain network. The HPI-MIT team worked with companies from the Charter of Trust and others last year to understand the impacts of cybersecurity regulation on SME participation in supply chains and develop a conceptual framework to implement changes for stabilizing supply chains.

Cybersecurity is a prerequisite needed to achieve any of the United Nations’ SDGs, explains Kwong. Without secure supply chains, access to key resources and institutions can be abruptly cut off. This could include food, clean water and sanitation, renewable energy, financial systems, health care, education, and resilient infrastructure. Securing supply chains helps enable progress on all SDGs, and the HPI-MIT project specifically supports SMEs, which are a pillar of the U.S. and European economies.

Personalizing product designs while minimizing material waste

In a vastly different Designing for Sustainability joint research project that employs AI with engineering, “Personalizing Product Designs While Minimizing Material Waste” will use AI design software to lay out multiple parts of a pattern on a sheet of plywood, acrylic, or other material, so that they can be laser cut to create new products in real time without wasting material.

Stefanie Mueller, the TIBCO Career Development Associate Professor in the MIT Department of Electrical Engineering and Computer Science and a member of the Computer Science and Artificial Intelligence Laboratory, and Patrick Baudisch, a professor of computer science and chair of the Human Computer Interaction Lab at HPI, are co-PIs on the project. The two have worked together for years; Baudisch was Mueller’s PhD research advisor at HPI.

Baudisch’s lab developed an online design teaching system called Kyub that lets students design 3D objects in pieces that are laser cut from sheets of wood and assembled to become chairs, speaker boxes, radio-controlled aircraft, or even functional musical instruments. For instance, each leg of a chair would consist of four identical vertical pieces attached at the edges to create a hollow-centered column, four of which will provide stability to the chair, even though the material is very lightweight.

“By designing and constructing such furniture, students learn not only design, but also structural engineering,” Baudisch says. “Similarly, by designing and constructing musical instruments, they learn about structural engineering, as well as resonance, types of musical tuning, etc.”

Mueller was at HPI when Baudisch developed the Kyub software, allowing her to observe “how they were developing and making all the design decisions,” she says. “They built a really neat piece for people to quickly design these types of 3D objects.” However, using Kyub for material-efficient design is not fast; in order to fabricate a model, the software has to break the 3D models down into 2D parts and lay these out on sheets of material. This takes time, and makes it difficult to see the impact of design decisions on material use in real-time.

Mueller’s lab at MIT developed software based on a layout algorithm that uses AI to lay out pieces on sheets of material in real time. This allows AI to explore multiple potential layouts while the user is still editing, and thus provide ongoing feedback. “As the user develops their design, Fabricaide  decides good placements of parts onto the user's available materials, provides warnings if the user does not have enough material for a design, and makes suggestions for how the user can resolve insufficient material cases,” according to the project website.

The joint MIT-HPI project integrates Mueller’s AI software with Baudisch’s Kyub software and adds machine learning to train the AI to offer better design suggestions that save material while adhering to the user’s design intent.

“The project is all about minimizing the waste on these materials sheets,” Mueller says. She already envisions the next step in this AI design process: determining how to integrate the laws of physics into the AI’s knowledge base to ensure the structural integrity and stability of objects it designs.

AI-powered startup design for the Anthropocene: Providing guidance for novel enterprises

Through her work with the teams of MITdesignX and its international programs, Svafa Grönfeldt, faculty director of MITdesignX and professor of the practice in MIT MAD, has helped scores of people in startup companies use the tools and methods of design to ensure that the solution a startup proposes actually fits the problem it seeks to solve. This is often called the problem-solution fit.

Grönfeldt and MIT postdoc Norhan Bayomi are now extending this work to incorporate AI into the process, in collaboration with MIT Professor John Fernández and graduate student Tyler Kim. The HPI team includes Professor Gerard de Melo; HPI School of Entrepreneurship Director Frank Pawlitschek; and doctoral student Michael Mansfeld.

“The startup ecosystem is characterized by uncertainty and volatility compounded by growing uncertainties in climate and planetary systems,” Grönfeldt says. “Therefore, there is an urgent need for a robust model that can objectively predict startup success and guide design for the Anthropocene.”

While startup-success forecasting is gaining popularity, it currently focuses on aiding venture capitalists in selecting companies to fund, rather than guiding the startups in the design of their products, services and business plans.

“The coupling of climate and environmental priorities with startup agendas requires deeper analytics for effective enterprise design,” Grönfeldt says. The project aims to explore whether AI-augmented decision-support systems can enhance startup-success forecasting.

“We're trying to develop a machine learning approach that will give a forecasting of probability of success based on a number of parameters, including the type of business model proposed, how the team came together, the team members’ backgrounds and skill sets, the market and industry sector they're working in and the problem-solution fit,” says Bayomi, who works with Fernández in the MIT Environmental Solutions Initiative. The two are co-founders of the startup Lamarr.AI, which employs robotics and AI to help reduce the carbon dioxide impact of the built environment.

The team is studying “how company founders make decisions across four key areas, starting from the opportunity recognition, how they are selecting the team members, how they are selecting the business model, identifying the most automatic strategy, all the way through the product market fit to gain an understanding of the key governing parameters in each of these areas,” explains Bayomi.

The team is “also developing a large language model that will guide the selection of the business model by using large datasets from different companies in Germany and the U.S. We train the model based on the specific industry sector, such as a technology solution or a data solution, to find what would be the most suitable business model that would increase the success probability of a company,” she says.

The project falls under several of the United Nations’ Sustainable Development Goals, including economic growth, innovation and infrastructure, sustainable cities and communities, and climate action.

Furthering the goals of the HPI-MIT Joint Research Program

These three diverse projects all advance the mission of the HPI-MIT collaboration. MIT MAD aims to use design to transform learning, catalyze innovation, and empower society by inspiring people from all disciplines to interweave design into problem-solving. HPI uses digital engineering concentrated on the development and research of user-oriented innovations for all areas of life.

Interdisciplinary teams with members from both institutions are encouraged to develop and submit proposals for ambitious, sustainable projects that use design strategically to generate measurable, impactful solutions to the world’s problems.

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Explore the 2023–24 MIT Sloan Year in Review.

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Through intellectual rigor and experiential learning, this full-time, two-year MBA program develops leaders who make a difference in the world.

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Earn your MBA and SM in engineering with this transformative two-year program.

Combine an international MBA with a deep dive into management science. A special opportunity for partner and affiliate schools only.

A doctoral program that produces outstanding scholars who are leading in their fields of research.

Bring a business perspective to your technical and quantitative expertise with a bachelor’s degree in management, business analytics, or finance.

A joint program for mid-career professionals that integrates engineering and systems thinking. Earn your master’s degree in engineering and management.

An interdisciplinary program that combines engineering, management, and design, leading to a master’s degree in engineering and management.

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Can mini solar grids bring electricity to more people?

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How These Sloanies Are Propelling Startups Across MIT

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MIT Sloan Alumni and Friends Turn Up for 2024 MIT 24-Hour Challenge

Andrew Husband

May 16, 2024

The 2024 MIT 24-Hour Challenge —celebrated on March 14, otherwise known as Pi Day—was an incredible success across the Institute and the MIT Sloan School of Management.

9,875 supporters from around the globe made gifts to MIT totaling more than $4.65 million.

“I am always so impressed by what our generous alumni and friends can do when we all work together. I have nothing but gratitude to everyone in the MIT community who made this event such a success,” says MIT Alumni Association CEO Whitney T. Espich.

unlocked by 624 alumni and friends who gave through the MIT Sloan Annual Fund

Among those who took part on Pi Day, 624 alumni and friends of MIT Sloan gave over $367,000 through the MIT Sloan Annual Fund—a 68% increase over last year. Altogether, they surpassed the goal of 552 donors by 13% for the microchallenge by J. Thomas Bentley, SM ’75, and James C. Foster, SF ’85, and unlocked an additional $55,000 for the school.

A second microchallenge for an additional $25,000 from Rohini Chakravarthy, MBA ’99, who is celebrating her 25th MIT Sloan Reunion this year, was unlocked by 128 Reunion-year alumni. In total, they gave nearly $100,000 through the MIT Sloan Annual Fund during the 2024 MIT 24-Hour Challenge.

unlocked by 128 Reunion-year alumni who gave through the MIT Sloan Annual Fund

“Thank you so much for making a difference for the MIT Sloan community,” says Kathryn Hawkes (Senior Associate Dean, External Relations). “That’s more student-run conferences, career coaching, and faculty research—because of you!”

During last year’s MIT 24-Hour Challenge, 612 donors gave $218,967 through the MIT Sloan Annual Fund. These gifts greatly impacted the MIT Sloan community by supporting student-led conferences, student clubs, Action Learning labs, and thousands of hours of career coaching.

The ongoing generosity of alumni and friends like you during the 2024 MIT 24-Hour Challenge will continue to support these efforts and so much more—both now and in the future.

given by 9,875 supporters from around the globe to MIT

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DU Runs Deep in the Naughton-Nicholson Family

May 20, 2024

This article originally appeared in the Spring 2024 issue of University of Denver Magazine. Read the entire issue online .

“I am proud of the University of Denver—in that it has been an integral part of my life, my husband’s life, my children’s life and my father’s life. That is pretty amazing,” says Ann Naughton (née Nicholson) (BA 1978). Ann’s father, Will Nicholson Jr. (MBA 1956), studied at MIT before returning to his hometown of Denver and becoming the first in the family to earn a degree from DU. And when Ann graduated from the Kent School for Girls, she followed in her father’s hopscotching footsteps. At first, she says, “DU wasn’t on my radar. I wanted to go to the East Coast. So, I went.”

Landing at a women’s college in New Hampshire, Annsoon realized that she wanted to be closer to home. “I enjoyed being on the East Coast,” she says. “But I was so homesick for Colorado. During spring break, I came home, and I said, ‘I’m transferring to the University of Denver.’” Initially thinking she would transfer out of DU after a year, Ann fell in love with her political science classes, joined the Delta Gamma sorority and the field hockey team, and by the end of her sophomore year, she knew she was going to stay.

The following year, a roommate introduced her to a fellow student named Michael Naughton (BSBA 1979) at a Friday morning fraternity breakfast club, and the two became close friends. It wasn’t long after that Mike’s older brother, Tom (BSBA 1977), would need a date for his fraternity’s fall formal.

“The phone in the hallway rang, and I picked it up. And of course, there’s this dead silence. He goes, ‘Is this Ann?’ And I answer, ‘Yeah.’ He—and he was really nervous—he says, ‘Could you do me a favor? This is Tom Naughton. Would you go to the fall formal with me?’ I said, ‘Sure.’ And that was it.” The two hit it off and, after Thanksgiving, ended up taking the same interterm course, Comparative Legislative Systems, which took them to Washington DC and New York and then to London, Paris and Amsterdam to study different forms of government. Tom graduated the following spring and moved home to Des Moines, Iowa, and the pair were engaged by October ’77 and married in July of ’78, just six weeks after Ann’s graduation.

In 1984, the Naughtons decided to return to Colorado, settling in Colorado Springs, where Tom took a job with Colorado National Bank and remained through several mergers and acquisitions, retiring as the regional president for U.S. Bank in 2019. Over the years, the Naughtons’ involvement in the Colorado Springs community grew. Ann spent nearly a decade on the school board for her children’s district, sits on the board of Pikes Peak Golf Links, which provides summertime golf lessons for kids and individuals with disabilities, and is the vice chair of the Cheyenne Mountain Zoo’s board of trustees.

“I’m a huge believer, no city can survive without a base of volunteers. And I was lucky enough to be able to stay home with my kids. And so, it was my job to give my time back to organizations,” Ann says. “But I was very much raised to believe that giving back to your community is a very important thing.”

As closely as they embedded themselves in Colorado Springs, the Naughtons remained connected to their alma mater, hosting parties for incoming DU freshman and even cheering on the Pioneers at Colorado College home games. And when the next generation of Naughtons began applying for college, Ann says, “All four children swore they would never go the same university that their parents attended.”

But eventually, they all did: First, Sarah (Dorweiler) (MA 2009), then Rob (BSBA 2010, MBA 2011), Michael (MBA 2013) and Katherine (VandeMotter) (MA 2015).

And the DU connections don’t stop there. Members of the extended Naughton-Nicholson family have earned more than a dozen degrees from the University, including Katherine’s husband Peter VandeMotter (BSBA 2013) and his mother Kathleen Carney (BSBA 1981); Ann’s nieces Olivia Reese (BSBA 2011, MBA 2012) and Marjorie Nicholson (MSW 2023); and Tom’s brother Michael (BSBA 1979), sister Jeanne Cunningham (BA 1970) and nephew John Cunningham (BSBA 2005).

The Naughtons’ relationship with the University has deepened throughout the decades. “Tom and I, my father and my children all went to DU. It’s an integral part of my giving,” Ann says. “It’s a very important part of our lives.”

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Poets&Quants’ 40-Under-40 Best MBA Professors Of 2024

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Jun Li and Andrew Wu are linked by many “boths.”

Both are accomplished professors at University of Michigan’s Ross School of Business. They are researchers at the top of their fields, winning multiple honors for their work. Both were finalists for Financial Times Research Impact awards.

Both earned their PhDs at The Wharton School. It’s where they met, actually. Li noticed Wu staring at her from across a Philadelphia bar and asked if he knew her. They didn’t realize they were in the same program until they got to talking.

Both are parents to four and six year olds about to turn into five and seven year olds.

And today, both are featured on Poets&Quants’ annual list of the 40 best MBA professors under the age of 40. It’s the first time (we think) we have featured a married couple in the same year, both selected on their individual accomplishments and merits.

“It is beyond our expectations, really exciting,” Li tells P&Q. “Thinking about all these years working together – both as family and partners – it is really rewarding. I tell people all the time that Andrew is the best co-author I’ve ever had.”

More on that a little later.

34 SCHOOLS FROM 9 COUNTRIES REPRESENTED

We at Poets&Quants are proud to announce our collection of the 40-Under-40 Best MBA Professors for 2024. This is the 12th edition of our annual recognition, and our goal remains unchanged: To identify and celebrate the most talented young professors currently teaching in MBA programs around the world.

Federica De Stefano, HEC Paris

Professors on this year’s list come from 34 different business schools. That includes 15 schools outside of the United States, more than in any other year. The United Kingdom has the most professors outside the USA at five, while France has three and Spain has two. The list also includes professors from China, India, Italy, Mexico, and the Netherlands.

Five schools have two professors each:

• Kelley School of Business, Indiana University
• Kellogg School of Management, Northwestern University
• MIT Sloan School of Management
• NYU Stern School of Business
• The Wharton School, University of Pennsylvania.

We also honor 21 exceptional women, the most we’ve ever recognized in a single year. Included is Federica De Stefano , 36, Assistant Professor of Management and Human Resources at HEC Paris.

She was diagnosed with cancer for the first time in her early 20s, one week after graduating with her Master of Science. As a research assistant at Bocconi University, she started reading research on work, careers, and human resources. That’s when she knew she wanted to be a business professor.

“That research had a tremendous impact on my ability to navigate that phase of my life in an informed way. It answered some of my questions and left me with some more. I therefore decided that I wanted to find those answers to support people like me in navigating their work life, and that a business school was the right place to develop and share knowledge on this topic,” she says.

“As a survivor, I’m grateful for the so many amazing humans who have made this possible, giving me time and space to recover. I’m grateful for the other survivors I’ve met and who don’t cease to inspire me. I’m grateful for my mentors and co-authors who have been kind, patient, and not giving up on me. I’m grateful for the institutional and human support of my colleagues at HEC Paris during my disease and recovery. I’m eternally grateful for the unwavering support of my family and my beloved partner, who never gets tired of reminding me that ‘we’re going to be fine.’”

FIRSTS, YOUNGESTS & RISING STARS

At Poets&Quants, we love a good trailblazer. Along with our first married pair of professors, 2024 has several examples of the youngests, the firsts, and the rising stars.

Jennifer N. Wynn , 39, is the first Black woman to be a full-time faculty member at NYU Stern School of Business. She is the creator of the popular Stern courses Difficult Conversations and Inclusive Conversations.

Oliver Hauser, Exeter University

At 35, Oliver Hauser is the youngest full professor at Exeter University in England. He is a Professor of Economics and interim co-director of the Institute for Data Science and Artificial Intelligence. He’s also faculty affiliate at Harvard University’s Sustainability, Transparency and Accountability Research Initiative. Outside of the business school, he’s served as advisors to the UK Cabinet Office; the UK Department for Science, Innovation and Technology; and BBC Children in Need.

“Oliver is the rare academic professor with such deep and meaningful insight into the world of practice that the students in his classroom actually feel like they are in the middle of real-world situations,” says Siri Chilazi, a researcher at Harvard University.

And Corinne Low , 39, is the first out, queer woman of color to receive tenure at The Wharton School. She created the popular “Economics of Diversity and Discrimination” course, a core part of the new DEI major.

“Professor Low’s class is one of the most impactful that I’ve taken at Wharton. It has prompted the most (and some of the most thought-provoking) conversations with classmates/friends/family outside of the classroom,” writes student Genny Silva.

Agni Orfanoudaki , Associate Professor of Operations Management at University of Oxford’s Saïd Business School, is the youngest entrant on this year’s list at 29. The average age of all professors is 36.6.

PROFESSORS AT THE CUTTING EDGE OF RESEARCH

Many of the professors on the list research the topics at the cutting-edge of business, technology and the future of work: AI, machine learning, sustainability, etc. Others engage directly with the biggest problems of the day.

Darden’s Gaurav Chiplunkar is analyzing a dataset with billions of individuals across 90 countries and spanning five decades. He’s looking to understand how economic development affects people’s movement through the work force.

Rahul Bhui, MIT Sloan School of Management

“Our findings reveal a striking narrative: while traditional economic progress has seen men migrating from agriculture to manufacturing and services, women, in contrast, are more likely to exit the labor force altogether before re-entering at higher levels of economic development, and often within the service sector,” Chiplunkar says. “Despite significant advancements over these decades, women continue to be disproportionately relegated to clerical and secretarial roles, with managerial positions remaining elusive, even in the most developed nations.”

In his research, Jermain Kaminski of Maastricht University School of Business and Economics combines methods from machine learning and natural language processing with a specific focus on large text, audio and video data in entrepreneurship. He is a co-founder and co-chair of the Causal Data Science Meeting.

And Rahul Bhui combines cognitive science, computational neuroscience, and behavioral economics in his research to reveal the deep unifying principles that capture both rationality and irrationality. He is an Assistant Professor of Marketing as well as the Class of 1958 Career Development Professor at Massachusetts Institute of Technology’s Sloan School of Management.

“My goal is to unravel a paradox of human nature: how can we be so smart and so stupid at the same time? Yes, this is a serious question,” Bhui says.

HOW WE PICKED THEM

Overall, we received more than 1,000 nominations from students, colleagues, business schools, and professors themselves. P&Q’s editorial staff evaluated each nominee on teaching (given a 70% weight) and research (given the remaining 30% weight).

For teaching, we considered the nominations received — both quality and quantity. For example, if we received a hundred or more nominations for a professor but there was little substance to the nominations, they weren’t as likely to score as highly as the professor that received a dozen in-depth and thoughtful nominations. We also considered any teaching-related awards the professors have won.

For research, we looked at the volume and impact of the professor’s scholarly work. To do this we examined Google Citation numbers as well as major media attention received by the professor and his or her research work. Lastly, akin to teaching, we considered research awards and grants the professors have received.

Jun Li and Andrew Wu, both professors at Ross School of Business were married in 2014. They met in their PhD programs at The Wharton School. Courtesy photo

ABOUT THAT ‘BEST CO-AUTHOR EVER’

Together, Li and Wu have published four papers. Now that their kids are starting school, they expect that number to pick up.

Their first paper on companies adopting ESG and its impact on society took just one month – from ideation, to finishing the paper, to sending it off to the journal. They talked about it on the way to work, at work, and they talked about it on the way home. They didn’t have to wait for email replies or meeting schedules because the other was typically right there or in the next room.

“I have no other project ever beat that,” Li says.

Both Li and Wu say they have found a home at Ross. A place where they are supported, have inspirational mentors, and teach highly impressive students. Both just recently received tenure.

“Ross is a school of explorers, innovators, and risk takers – both faculty and students,” Wu says.

Students are out there building companies and raising tens of millions of dollars. Engineers and other disciplines are teaming up with Ross students to build out their inventions. When Wu wanted to start a new FinTech program upon joining Ross back in 2016 – before Bitcoin was a thing – the school said go for it. Ross was one of the first B-schools to offer FinTech on a large scale.

“And now we’re doing the same thing for generative AI,” Wu says. “I said, we’ve got to integrate this thing into our business education; it’s going to be tremendously transformative.

“I think both of us are now engaged with building out the next chapter of integrating generative AI into the classroom and also in research.”

NEXT PAGE: The entire roster of P&Q’s 2024 40-Under-40 Best MBA Professors

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