phd business analytics usa

Tippie College of Business

Phd in business analytics - phd programs.

PhD in Business Analytics

Data science. machine learning. optimization..

Data—namely, the generating of data—has exploded. All that data creates a great challenge. Businesses need better ways to get insights from the data. We help make that happen.

Here at Tippie, we’re a leader in business analytics research and education. In 2021 the Business Analytics Department won the prestigious UPS George D. Smith Prize that is awarded annually by INFORMS, the largest international association of analytics and operations research professionals.

For decades, we’ve been wrangling volumes of data, solving the most complex analytical puzzles. We did big data before big data was cool. And now that the world has caught up, we’re riding the front edge of an exciting wave.

Working hand-in-hand with our faculty, you’ll take your analytical and modeling skills to the next level through one of three specializations. Our grads are in high demand by academia, sure, but the private sector is also clamoring for business analytics PhDs. That means you can map out your own perfect-fit career path.

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STEM designation

The PhD in business analytics carries a STEM designation, which is particularly good news for international PhD candidates. Typically, after completing the degree, those in the U.S. on a student F1 visa have 12 months to work without an employer-sponsored visa. This period is called Optional Practical Training (OPT). The STEM designation extends OPT from 12 to 36 months.

Three specialization areas

Thanks to Tippie’s rich faculty roster, the PhD program in business analytics provides multiple areas in which you can choose to concentrate:

Information systems

Identify patterns and insights in data, like user behavior in Twitter or Facebook posts; identifying business competitors by mining webpages; and using health data to diagnose medical issues.

Faculty researching in this area include Patrick Fan , Nick Street , Kang Zhao , and Gautam Pant.

Quantitative methods

Develop tools to find optimal strategies to tackle mathematical problems, including "big data" problems. Quagmires like monitoring physician performance, identifying players to select in the NFL draft, and balancing cost and risk in trade.

Faculty in this area include Jeff Ohlmann , Sam Burer , Qihang Lin , Kurt Anstreicher , and Beste Basciftci .

Operations management

Use analytical tools to make data-driven business decisions, like routing vehicles to nail same-day delivery deadlines, strategizing a sugar cane harvest, or designing supply chains to mitigate risk.

Faculty studying operations include Ann Campbell , Barrett Thomas , Phil Jones , Jennifer Blackhurst , and Renato de Matta .

Big data, big market demand for analytics PhDs

Analytics expertise is in big demand at top universities and companies around the world.

Recent grads have joined as tenure-track assistant professor or post-doc at universities including:

• University of Arkansas-Little Rock
• University of Michigan
• University of Minnesota
• University of Tennessee
• University of Wisconsin-Whitewater

Others have taken positions as analysts and data scientists at companies including:

• Delta Air Lines

“Being able to leverage data to make really informed decisions gives a company an edge on competition. Analytics is becoming very key in managing a world-class supply chain, and it touches all aspects of a business.” Jen Blackhurst, Business Analytics Professor & Associate Dean for Graduate and Professional Programs Read Jen's story

Guided by great

When you come to a place like Tippie, full of faculty leading a fast-growing field, you might think they’re too busy to mentor students. Not so.

Iowa's PhD in business analytics maximizes mentorship and collaboration. Besides your designated advisor, you’ll meet with six more professors your first semester to talk about research interests you share. Leading thinkers and researchers—including INFORMS fellows and National Science Foundation award winners—will guide you from day one through graduation.

Thinkers like Ann Campbell , an international expert in vehicle routing. Or Kang Zhao , whose social network analysis has uncovered the secret to finding your perfect online date. Or Nick Street , a pioneer in using machine learning algorithms to make medical diagnoses. (Bonus: get more from our experts on our Twitter feed .)

Suffice to say, you’re in good hands. Correction: you’re in great hands.

See faculty research

If you've got a technical background, like engineering, math, and computer science, and want to develop analytics skills and solve real-world business problems, this is your place. Our program is small—just two to four students start each year—and accordingly competitive. We give preference to those with strong GPAs, prior graduate work, and research experience in a relevant field.

First, you need to meet the minimum PhD admission requirements . Other criteria for admission include:

Academic record

The minimum GPA is 3.0 on a 4.0 scale. We also consider the rigor of your undergrad or master's institution(s) and grades you earned in quantitative courses.

GMAT or GRE score

There isn't a specific minimum score, but successful applicants typically have very strong quant and analytical scores.

Financial support

To ensure that you have more than enough time to focus on your research, each admitted student is guaranteed a  research-assistantship (RA) or fellowship funding for at least six fall and spring semesters during their first five years in the program.

Letters of recommendation

We're interested in their assessment of your strengths, weaknesses, motivation, and ability to succeed.

Statement of purpose

Content and overall seriousness are considered.

English proficiency

This requirement applies only to international applicants whose native language is not English. We follow the Graduate College's  English proficiency requirements . 

Curriculum and sample plan of study

The PhD in business analytics requires 72 semester hours of credit, in addition to a dissertation. The typical time to complete the degree is five years.

The plan of study is very flexible. You can take elective coursework in any year of the program. The outline below is a sample for demonstration purposes; we'll work with you to outline a plan of study that aligns with your goals.

Business Analytics Department Handbook

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PhD in Business Analytics Programs

On This Page:

You’re a business analytics professional who aspires to become a university professor. You’re thinking of a PhD in Business Analytics , but wondering if it’s worth the effort. Use our PhD guide to evaluate timelines , coursework , and the dissertation process . Compare different types of business analytics doctorates . Learn if your experience matches up to typical admissions requirements . Explore funding options and employment avenues . Find answers to questions on online degrees and FAQ . Or jump ahead to listings of all the PhD in Business Analytics programs in the country.

What Are PhD in Business Analytics Programs?

A PhD in Business Analytics or a closely related field is a specialist doctorate focused on the intersection of original and groundbreaking research in applied statistics, analytics & business studies. It is almost always offered by a School of Business. Doctoral students who choose this pathway:

• Learn how to deploy sophisticated statistical & analytical techniques to address major corporate challenges
• Specialize in making complex, data-driven decisions in specific realms of business (e.g. marketing, finance, operations management, etc.)
• Become business analytics professors at universities and top-level researchers in the private sector

Can You Earn a PhD in Business Analytics?

Yes. Doctoral programs in business analytics exist, but they are academically-focused and research-driven. A PhD in Business Analytics is not a workplace qualification like an MS in Business Analytics or an MS in Data Science or a practical business administration degree like an MBA or DBA . Most PhD programs in our listings are specifically designed to help students become university professors.

Types of Business Analytics Doctorate Programs

Doctoral programs in this field tend to fall into two main categories: Business Analytics or Operations Management (or a combo of the two). Once you’ve highlighted a few programs, you can use the curriculum links in our listings to dig down into the coursework and explore faculty research interests.

PhD in Business Analytics

At the doctoral level, a PhD in Business Analytics has many of the same hallmarks as a PhD in Data Analytics . It will often involve high-level training in areas such as applied statistics, statistical programming, data mining, simulation, data science, optimization, and decision analysis. You’ll be required to apply all of those skills to a specific area of business research (e.g. marketing, economics, finance, operations, management, etc.). See the Dissertation section for examples of projects.

PhD in Operations Management

A PhD in Operations Management (OM) is focused on optimizing business processes from production through to distribution. Think of supply chains, operations planning & control, distribution networks, pricing, and inventory management. Using your skills in business analytics (see above), you could be challenged to develop theoretical models, conduct empirical studies, and run complex data analyses to find ways to improve these interconnected parts.

PhD in Business Information Technology (or Similar)

Some universities also offer “build your own” doctorates with an interdisciplinary feel. You’ll be able to combine coursework from the School of Business and technical departments. With an interdisciplinary doctorate, you can concentrate your research on whatever you please—operations management, information systems, business & data analytics, or even security & privacy.

Note: If none of these programs feel right, consider a PhD in Data Analytics . You may be able to customize your doctorate with corporate coursework (e.g. econometrics) and industry projects with the School of Business.

How Doctorates in Business Analytics Work: Curriculum & Dissertation

Degree structure.

Doctoral students go through 6 key stages to earn a PhD in Business Analytics—you have to finish one stage (e.g. core coursework) before you can progress to the next one (e.g. qualifying exam). On a full-time schedule, the entire doctorate might take 4-5 years.

Core Coursework

Qualifying/comprehensive exam, dissertation proposal, dissertation, dissertation defense.

• Year 1: Core coursework and first-year research papers. Assignment of a faculty mentor.
• Year 2: Core coursework, electives, second-year research papers, and the qualifying exam.
• Year 3: Any remaining coursework. Preparing research projects for publication. Dissertation proposal.
• Year 4: Dissertation work under the guidance of a dissertation advisor and advisory committee.
• Year 5: Dissertation work. Research papers & conference submissions. Dissertation defense.

Sample Curriculum

The first two years of your PhD in Business Analytics will contain a set of mandatory research & business courses. These credits are designed to equip you with all the skill sets you might need for your dissertation . Here are a few samples of real course titles from doctoral programs:

Research Methodology & Technical Skills

• Probability & Statistics
• Linear Algebra
• Applied Stochastic Process
• Multivariate Analysis
• Linear Programming
• Data Structures

Business Concerns

Operations Management

• Management Information Systems
• Microeconomics
• Information Analysis for Managerial Decisions
• Supply Chain Operations and Information

You can see how PhD programs in business analytics draw on high-level coursework from the Departments of Statistics & Computer Science and coursework from the School of Business. The mix will vary depending on the title & focus of the PhD. Visit the curriculum links in our listings to learn more about each program’s unique approach.

In addition to core coursework , your doctorate will almost always contain electives. You’ll be allowed to choose your own subjects and customize your degree to suit your research goals.

At the doctoral level, electives can be super-specialized. Here are a few examples of electives from PhD programs in Business Analytics & Operations Management:

Business Analytics

• Data Structure & Algorithms
• Machine Learning
• Markov Decision Processes
• Artificial Intelligence (AI)
• Game Theory
• Scheduling Theory
• Service Operations

Once you’ve completed your core coursework , you’ll be required to pass a comprehensive exam. The exam is designed to test your knowledge and prepare you for top-tier research projects.

The qualifying exam for a PhD in Business Analytics can take a number of forms. For instance:

• At the University of Cincinnati, the PhD in Operations, Business Analytics, and Information Systems qualifying exam consists of a written exam and a oral presentation.
• At the University of Oregon, the PhD in Operations and Business Analytics qualifying exam involves a test and a second-year paper that must be presented at a departmental seminar series.

After you’ve passed the qualifying exam, you can focus on developing the idea for your dissertation under the supervision of a dissertation advisor/faculty mentor. You may wish to work on a research-based dissertation, which explores new theories & models, or a project-based dissertation, which involves exploring real-life business problems.

You’ll assemble these ideas into a proposal and present your proposal to a dissertation advisory committee. The committee will be composed of experienced faculty members and—occasionally—outside experts.   If the committee accepts your proposal, you can get to work on your dissertation.

A PhD dissertation is defined as a work of original research that makes a significant contribution to the theory & practice of a field. Your goal is break new ground in business analytics—new theories, new practices, and new data-driven approaches. 

Dissertation Titles

Here are a few examples of real-life PhD dissertation titles in business analytics & closely related fields:

• Revenue Maximization Using Product Bundling
• Estimating the Statistics of Operational Loss Through the Analyzation of a Time Series
• Performance Improvement Through Better Understanding of Supply Chain Resilience
• Managing Outsourcing Decisions: Government Policy, Firm Options, and the Economic Impact
• Applications of Revenue Management in Healthcare
• Three Essays on Optimization and Decision-Making Solutions in Retail Operations

In tandem with your dissertation, you may also be writing up research papers to submit to peer-reviewed journals and industry conferences.

The defense is the final stage of your PhD. You’ll be challenged to present your findings to the dissertation advisory committee and defend your research in an oral & visual presentation. The committee will then ask you questions and discuss your work.

If you have a strong dissertation advisor, you’ll be more than ready for the defense! You’ll know your research backwards and forwards and you’ll be prepped to answer likely questions. You can improve your odds even further by observing other student defenses, practicing with mock presentations, and researching the work of committee members.

PhD in Business Analytics: Admissions

Doctorate in business analytics: what it takes to get in.

PhD programs in business analytics are 1) rare; and 2) typically fully funded . That also means they’re extremely competitive! Some Schools of Business may only accept 2-3 candidates per year. Follow the admissions links in our listings to get a sense of the university’s expectations.

Not sure if you have what it takes? Take a moment to:

• Assess your application to see if you can compensate for weak spots (e.g. GPA) with strengths (e.g. research projects, teaching experience, published papers, etc.)
• Make sure that your research interests would be a good fit with the PhD program’s faculty, departments, and facilities (e.g. Operations Research Center)
• Talk to current PhD students and recent alumni about their experiences with admissions, research work, and employment after graduation

Degree Requirements

For a PhD in Business Analytics, universities will want to see candidates who have a degree in business or a related technical discipline (e.g. data analytics, data science, statistics, etc.). The standard GPA requirement is 3.0 GPA or higher.

• Bachelor’s Degree Entry:  A number of schools are willing to consider applicants with a bachelor’s degree. However, they may give preference to candidates with prior graduate-level coursework.
• Master’s Degree Entry:  Some doctoral programs in business analytics are only open to candidates with a master’s degree.

Are you a bachelor’s degree candidate who’s interested in a PhD with a master’s degree entry? Talk to the program coordinator. You may be able to earn a graduate degree at the same university before transferring into the PhD track.

Skills & Proficiencies

A PhD in Business Analytics or a closely related field is a highly technical degree, so universities will often want to see evidence of skills & proficiencies in:

• Calculus and linear algebra
• Computer programming
• Quantitative fields (e.g. maths, statistics, operation research, supply chain management, etc.)

But they will also be looking for skills that all academic professors must have, including:

• Oral & written competencies
• Teaching & research talents

General Requirements

In addition to your academic transcripts, be prepared to submit:

• GRE or GMAT scores
• Letters of recommendation
• Statement of purpose
• TOEFL scores for non-English speaking international applicants

In particular, universities will be looking for candidates with strong quant & analytical scores on the GRE or GMAT.

PhD in Business Analytics: Tuition & Funding

How to fund the phd.

Doctorates in business analytics can be grouped into 2 categories:

• Fully funded PhD programs
• Tuition-driven PhD programs

Fully funded PhD programs are the norm in this field—they’re designed to prepare graduates to become academic professors.

Fully Funded PhD Programs

A fully funded PhD in Business Analytics means that the university pays for your education. They will waive all tuition costs and provide you with a living stipend as compensation for teaching & research activities.

• Assistantships: Most PhD in Business Analytics students work as Teaching Assistants (TAs), Research Assistants (RAs), or course instructors during their studies.
• Scholarships & Fellowships: Some high-potential candidates will also receive additional monetary awards on top of the standard living stipend.

Talk to the PhD program coordinator to learn more about funding packages. You may (or may not) qualify for:

• Conference stipends, travel support, research-related expenses & other perks
• Campus housing
• University health insurance
• Fee waivers
• Summer fellowships & financial support
• Professional membership dues

Most universities will cover funding for Years 1-4 of your degree. With certain PhD programs, Year 5 support will be conditional on strong academic performance.

Tuition-Driven PhD Programs

You’ll occasionally run into a doctoral program in business analytics that is tuition-driven. That means the university expects you to pay for the degree by yourself. A PhD in this category could cost between $50,000-$96,000.

• Be very cautious about this route! If you can’t get into a fully funded PhD program, consider a master’s degree in a relevant field of interest (e.g. MS in Business Analytics ) or a more flexible doctorate.
• You don’t need a PhD in Business Analytics to work in an industry role. It’s only going to be useful if you wish to become a university professor or top-level researcher.

Online PhD in Business Analytics Programs

Can you earn an online phd in business analytics.

Yes—with a caveat. Capitol Technology University offers an Online PhD in Business Analytics and Data Science , but we would classify this more as an “industry” data science degree than an “academic” business analytics doctorate. And you will have to pay for it.

Why Are Online PhD Programs in Business Analytics Hard to Find?

Quality control. Top-tier research universities and high-ranking Schools of Business want to ensure that doctoral students:

• Take full advantage of all of their campus facilities (e.g. research centers, labs, and technical infrastructures)
• Learn how to teach undergraduates in actual classrooms
• Collaborate with faculty, fellow students, and their dissertation advisor on a regular, in-person basis
• Be present for seminars, workshops & networking events with visiting experts

We back them up on this matter. If you’re going to commit to a PhD in a niche topic like business analytics, choose one that is fully funded and on-campus.

Career Prospects for PhD in Business Analytics Graduates

As we mentioned, a PhD in Business Analytics or a closely related field is a super-specialized and research-focused degree. It will prepare you for a couple of roles:

• Assistant Professor or Post-Doc Position: You’ll be teaching business analytics at the university level to undergraduates.
• Senior Research Position: Some niche positions in fields like finance & economics will require top-level research skills (e.g. Senior Statistician).

However, you don’t need a doctorate in business analytics to pursue a senior-level position within the industry:

• Many analytics experts simply have an MS and industry certifications .
• Many managers & CEOs have an MBA or DBA .

PhD Business Analytics FAQ

What should i look for in a business analytics doctoral program.

Start with our program listings . You can use the curriculum & admissions links to evaluate your degree options and create a shortlist of likely candidates. Once you have some names in mind, consider the following factors:

• Funding Package: Almost all PhD programs will be fully funded , but some will have better benefits than others. Ask about perks like health insurance, travel stipends, fellowship awards, and the like.
• School of Business Reputation: A PhD in Business Analytics will almost always be offered by a School of Business. Look for Schools that are AACSB-accredited , nationally ranked, and well-regarded in the academic community.
• Department Reputations: Investigate each department that’s offering PhD coursework & electives. What kinds of research labs & facilities do they have? Are they working on industry partnerships with the School of Business? Are they exploring new frontiers in analytics?
• Faculty Expertise: Faculty profiles will be featured on the PhD program website. These people will be your mentors & advisors, so get to know them. Read through their bios, meet them for a virtual coffee, and learn more about their research interests.
• Career Preparation: What kinds of Teaching Assistantship (TA) opportunities will you be offered? Will you be able to submit your PhD research papers to academic journals? Will you be encouraged to present at major business & analytics conferences?
• Academic Placements: The vast majority of PhD graduates in business analytics will go on to teach in universities. So find out where alumni have ended up. Some PhD programs provide a list of recent academic placements.
• STEM Designation:  International students who wish to work in the States after graduation should check and see if the doctorate is a STEM-designated program . This designation is needed to extend the OPT period for students on an F-1 Visa.

You may also want to look up past winners of the  UPS George D. Smith Prize from INFORMS. This prize is given to an academic department or program that prepares students to be good practitioners of operations research, management science, or analytics.

What is a Doctor of Business Administration (DBA)?

Like a PhD, a Doctor of Business Administration (DBA) is a terminal degree that includes a dissertation. However, the DBA focuses on applied research instead of original research. DBA students use existing practices and theories and apply them to real-world business problems. Examples of DBA offerings include:

• DBA in Business Intelligence
• DBA in Data Analytics
• DBA in Business Analytics

DBA vs. PhD

DBA students tend to be working professionals who want to explore an area of analytics or BI research that can be applied to their current jobs. They’re willing to pay for a 3-year doctorate that may be online or part-time. And they often secure consultancy & leadership positions within their industry.

PhD in Business Analytics students aspire to become academics, professors & top-level researchers. They’re willing to commit to 5 years of rigorous, in-person study and they’re happy to teach undergraduates, publish papers in academic journals, and live in a world of theoretical research.

What is AACSB Accreditation?

The Association to Advance Collegiate Schools of Business International (AACSB) is a global non-profit association that provides specialized accreditation to Schools of Business.

• Schools of Business must go through a stringent assessment process to earn AACSB accreditation. The AACSB evaluates the School’s mission, faculty qualifications, curricula, and ability to provide quality programs.
• You can use the AACSB’s handy tool to search for AACSB-accredited schools and filter by location, delivery, format, and even field (e.g. Operations Management, Data Analytics, etc.).

What is a STEM Doctorate?

A STEM doctorate is typically defined as any PhD that contains at least 50% of coursework in the fields of Science, Technology, Engineering & Mathematics.

• Are you an international student hoping to work in the States? Ask if the PhD has a “STEM designation” from the U.S. Department of Homeland Security (DHS). Students on an F-1 Visa can apply for Optional Practical Training (OPT) after graduation. With a STEM-designated degree, the OPT period can be extended from 12 months to 36 months.
• STEM programs often receive financial support from the government and private industries. That means universities may be able to offer more fully funded PhD programs in STEM fields.

Not all Business Analytics programs are STEM programs! For example, Pitt’s PhD in Business Analytics & Operations contains a lot of business coursework and is classified as a doctorate in Business Administration. Check with the PhD program coordinator before you make a choice.

Is a PhD in Business Analytics Worth It?

Only if it aligns with your career goals in research & academia. A PhD in Business Analytics or a closely related field is an intense, 5-year doctorate that prepares graduates for jobs as university professors & top-level researchers. It’s not designed for professionals who want a practical industry qualification.

Wondering whether to make the leap? Ask recent PhD graduates about their experiences. You’ll find them on LinkedIn, at industry conferences , and within faculty directories on university websites. Be ready to answer questions about your research interests & teaching aspirations. 

All Phd in Business Analytics Programs

University of south alabama.

Mitchell College of Business

Mobile, Alabama

Phd in Business Administration - Business Analytics Concentration

University of delaware.

Lerner School Business & Economics

Newark, Delaware

PhD in Financial Services Analytics (FSAN)

Phd in hospitality business analytics, florida international university.

College of Business

Miami, Florida

PhD in Business Administration - Information Systems and Business Analytics

Georgia state university.

Robinson College of Business

Atlanta, Georgia

PhD in Business Administration & Digital Innovation - Data Science & Analytics

University of illinois at urbana-champaign.

College of Liberal Arts & Sciences

Champaign, Illinois

PhD in Mathematics with a Concentration in Actuarial Science and Risk Analytics

Iowa state university.

Debby and Jerry Ivy College of Business

PhD with a Specialization in Information Systems and Business Analytics

University of iowa.

Tippie College of Business

Iowa City, Iowa

Massachusetts

Bentley university.

McCallum Graduate School of Business

Waltham, Massachusetts

PhD in Business, Concentration in Business Analytics

Cuny bernard m baruch college.

Zicklin School of Business

New York, New York

PhD in Operations & Decision Analytics

University of cincinnati.

Carl H. Lindner College of Business

Cincinnati, Ohio

PhD in Operations, Business Analytics and Information Systems

University of oregon.

Division of Graduate Studies

Eugene, Oregon

PhD in Operations and Business Analytics

Pennsylvania, drexel university.

LeBow College of Business

Philadelphia, Pennsylvania

PhD in Business - Business Analytics Specialization

University of pittsburgh-pittsburgh campus.

Katz Graduate School of Business

Pittsburgh, Pennsylvania

PhD in Business Analytics and Operations

The university of tennessee.

Haslam College of Business

Knoxville, Tennessee

PhD in Business Analytics & Statistics

Smart. Open. Grounded. Inventive. Read our Ideas Made to Matter.

Which program is right for you?

Through intellectual rigor and experiential learning, this full-time, two-year MBA program develops leaders who make a difference in the world.

A rigorous, hands-on program that prepares adaptive problem solvers for premier finance careers.

A 12-month program focused on applying the tools of modern data science, optimization and machine learning to solve real-world business problems.

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.

Executive Programs

A full-time MBA program for mid-career leaders eager to dedicate one year of discovery for a lifetime of impact.

This 20-month MBA program equips experienced executives to enhance their impact on their organizations and the world.

Non-degree programs for senior executives and high-potential managers.

A non-degree, customizable program for mid-career professionals.

PhD Program

Program overview.

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Rigorous, discipline-based research is the hallmark of the MIT Sloan PhD Program. The program is committed to educating scholars who will lead in their fields of research—those with outstanding intellectual skills who will carry forward productive research on the complex organizational, financial, and technological issues that characterize an increasingly competitive and challenging business world.

Start here.

Learn more about the program, how to apply, and find answers to common questions.

Admissions Events

Check out our event schedule, and learn when you can chat with us in person or online.

Start Your Application

Visit this section to find important admissions deadlines, along with a link to our application.

Click here for answers to many of the most frequently asked questions.

PhD studies at MIT Sloan are intense and individual in nature, demanding a great deal of time, initiative, and discipline from every candidate. But the rewards of such rigor are tremendous:  MIT Sloan PhD graduates go on to teach and conduct research at the world's most prestigious universities.

PhD Program curriculum at MIT Sloan is organized under the following three academic areas: Behavior & Policy Sciences; Economics, Finance & Accounting; and Management Science. Our nine research groups correspond with one of the academic areas, as noted below.

MIT Sloan PhD Research Groups

Behavioral & policy sciences.

Economic Sociology

Institute for Work & Employment Research

Organization Studies

Technological Innovation, Entrepreneurship & Strategic Management

Economics, Finance & Accounting

Accounting  

Management Science

Information Technology

System Dynamics  

Those interested in a PhD in Operations Research should visit the Operations Research Center .  

PhD Program Structure

Additional information including coursework and thesis requirements.

MIT Sloan Predoctoral Opportunities

MIT Sloan is eager to provide a diverse group of talented students with early-career exposure to research techniques as well as support in considering research career paths.

Rising Scholars Conference

The fourth annual Rising Scholars Conference on October 25 and 26 gathers diverse PhD students from across the country to present their research.

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The goal of the MIT Sloan PhD Program's admissions process is to select a small number of people who are most likely to successfully complete our rigorous and demanding program and then thrive in academic research careers. The admission selection process is highly competitive; we aim for a class size of nineteen students, admitted from a pool of hundreds of applicants.

What We Seek

• Outstanding intellectual ability
• Excellent academic records
• Previous work in disciplines related to the intended area of concentration
• Strong commitment to a career in research

MIT Sloan PhD Program Admissions Requirements Common Questions

Dates and Deadlines

Admissions for 2024 is closed. The next opportunity to apply will be for 2025 admission. The 2025 application will open in September 2024. 

More information on program requirements and application components

Students in good academic standing in our program receive a funding package that includes tuition, medical insurance, and a fellowship stipend and/or TA/RA salary. We also provide a new laptop computer and a conference travel/research budget.

Funding Information

Throughout the year, we organize events that give you a chance to learn more about the program and determine if a PhD in Management is right for you.

PhD Program Events

May phd program overview.

During this webinar, you will hear from the PhD Program team and have the chance to ask questions about the application and admissions process.

June PhD Program Overview

July phd program overview, august phd program overview.

Complete PhD Admissions Event Calendar

Unlike formulaic approaches to training scholars, the PhD Program at MIT Sloan allows students to choose their own adventure and develop a unique scholarly identity. This can be daunting, but students are given a wide range of support along the way - most notably having access to world class faculty and coursework both at MIT and in the broader academic community around Boston.

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Profiles of our current students

MIT Sloan produces top-notch PhDs in management. Immersed in MIT Sloan's distinctive culture, upcoming graduates are poised to innovate in management research and education.

Academic Job Market

Doctoral candidates on the current academic market

Academic Placements

Graduates of the MIT Sloan PhD Program are researching and teaching at top schools around the world.

view recent placements 

MIT Sloan Experience

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The PhD Program is integral to the research of MIT Sloan's world-class faculty. With a reputation as risk-takers who are unafraid to embrace the unconventional, they are engaged in exciting disciplinary and interdisciplinary research that often includes PhD students as key team members.

Research centers across MIT Sloan and MIT provide a rich setting for collaboration and exploration. In addition to exposure to the faculty, PhD students also learn from one another in a creative, supportive research community.

Throughout MIT Sloan's history, our professors have devised theories and fields of study that have had a profound impact on management theory and practice.

From Douglas McGregor's Theory X/Theory Y distinction to Nobel-recognized breakthroughs in finance by Franco Modigliani and in option pricing by Robert Merton and Myron Scholes, MIT Sloan's faculty have been unmatched innovators.

This legacy of innovative thinking and dedication to research impacts every faculty member and filters down to the students who work beside them.

Faculty Links

• Accounting Faculty
• Economic Sociology Faculty
• Finance Faculty
• Information Technology Faculty
• Institute for Work and Employment Research (IWER) Faculty
• Marketing Faculty
• Organization Studies Faculty
• System Dynamics Faculty
• Technological Innovation, Entrepreneurship, and Strategic Management (TIES) Faculty

Student Research

“MIT Sloan PhD training is a transformative experience. The heart of the process is the student’s transition from being a consumer of knowledge to being a producer of knowledge. This involves learning to ask precise, tractable questions and addressing them with creativity and rigor. Hard work is required, but the reward is the incomparable exhilaration one feels from having solved a puzzle that had bedeviled the sharpest minds in the world!” -Ezra Zuckerman Sivan Alvin J. Siteman (1948) Professor of Entrepreneurship

Sample Dissertation Abstracts - These sample Dissertation Abstracts provide examples of the work that our students have chosen to study while in the MIT Sloan PhD Program.

We believe that our doctoral program is the heart of MIT Sloan's research community and that it develops some of the best management researchers in the world. At our annual Doctoral Research Forum, we celebrate the great research that our doctoral students do, and the research community that supports that development process.

The videos of their presentations below showcase the work of our students and will give you insight into the topics they choose to research in the program.

How Should We Measure the Digital Economy?

2020 PhD Doctoral Research Forum Winner - Avinash Collis

Watch more MIT Sloan PhD Program  Doctoral Forum Videos

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Ph.D. in Analytics, Information and Operations

Program information.

Faculty research often is motivated by challenges faced by firms across diverse industry sectors such as military, airlines, television, technology, digital marketing, social networking, insurance and healthcare.

Analytics, information and operations faculty are highly regarded for their research productivity and placement of doctoral graduates.

Application deadlines

Priority: December 15, 2023

Final: January 10, 2024

• Application requirements

Students begin their own research during the first year of the program and often present to faculty and other doctoral students early in their second year. Many of these papers are eventually published in academic journals.

Part of our mission is to develop effective teachers. To that end, all doctoral students are required to teach at least two sections as independent instructors. The school and university prepare and reward doctoral students for excellence in teaching through various programs and awards.

Program details

Core courses.

BSAN 920: Probability for Business Research OR Equivalent Course

BSAN 921: Statistics for Business Research OR Equivalent Course

ECON 800: Optimization Techniques I

ECON 801: Microeconomics I

ECON 802: Microeconomics II OR ECON 830: Game Theory and Industrial Organization

ECON 817: Econometrics I

Concentration courses

BSAN 922: Advanced Regression

BSAN 923: Stochastic Processes OR MATH 865: Stochastic Processes I

BSAN 935: Analytical Research in OM OR BSAN 924: Seminar in Machine Learning OR IST 995: Seminar in IS OR BSAN 925: Empirical Methods in OM or BSAN 926: Seminar in Research Methods

Supporting courses

A minor concentration typically consists of two or more additional courses from the following list, plus two or more courses from a second concentration area. Alternatively, a minor concentration requires four or more additional courses from the following list if there is no second concentration area.  Choose six courses from the list below. 

ECON 790: Game Theory and Applications ECON 818: Econometrics II

ECON 830: Game Theory and Industrial Organization

ECON 916: Advanced Econometrics II

EPSY 906: Latent Trait Measurement and Structural Equation Models

EPSY 930: Educational Psychology

FIN 821: Corporate Finance

FIN 830: Investments

FIN 832: Derivatives and Risk Management

MATH 765: Mathematical Analysis I (recommended)

MATH 790: Linear Algebra II (recommended)

MKTG 952: Introduction to Marketing Models

MKTG 954: Pricing and Strategy

Course(s) from potential new doctoral course offerings: Multivariate Analysis, Data Mining, Hierarchical Modeling, Structural Equation Modeling, etc. 

For more information, view a detailed list of courses in the academic catalog.

Requirements

Area of concentration.

Most students admitted in analytics, information, and operations typically will select that area as their concentration. However, an aspirant, with the assistance of his or her faculty advisor and the area faculty, may propose an interdisciplinary area of concentration that is a combination of the traditional business disciplines of accounting, finance, human resource management, marketing, organizational behavior, and strategic management. An aspirant may also propose an interdisciplinary area of concentration that includes emphases such as international business, law, and economics. The aspirant must take at least five advanced courses in the area of concentration. 

Supporting Areas

Coursework in the area of concentration is supplemented and strengthened by study in one or two supporting areas. A supporting area is one that supplements and complements the area of concentration. The aspirant will satisfy the supporting area requirement by taking at least four advanced courses in the supporting areas (at least two courses in each of two supporting areas, or at least four courses in one supporting area). The typical supporting areas for analytics and operation students are marketing, economics, finance, etc. Courses recommended for preparation for the qualifiers may not be included in satisfying the supporting area requirement.

Research Methodology

For successful qualifier assessment, the student’s program of study should include adequate preparation in research methodology. A sound research is always grounded on sound methodology. A doctoral student in analytics and operations has the opportunity to develop methodological skill in probability and statistics, optimization, uncertain reasoning, game theory, and econometrics. A typical doctoral dissertation often utilizes one or more of the following research methodology: empirical, analytical, behavioral, and computational.

Coursework and research

Comprehensive exams and research

Dissertation proposal and job market

Dissertation defense

Note: Some students complete the program in four years.

Program faculty

• Associate Professor
• Anderson Family Fellow
• Analytics, Information and Operations Management academic area

• Assistant Professor

• Davis Area Director, Analytics, Information and Operations Management
• Ronald G. Harper Professor of Artificial Intelligence and Information Systems

• B. Allen and Dorothy V. Lay Professor

• Jack and Shirley Howard Mid-Career Professor

Analytics, information, and operations doctoral students

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PhD Programs in Business Analytics

This guide is an overview of all of the opportunities available with a PhD in business analytics. It covers why professionals and students might pursue a PhD in business analytics, the usual steps or processes to get the degree, and potential outcomes or career paths.

For business purposes, professionals interested in executive-level or senior management positions in business analytics or operations might typically need only to obtain a master’s degree in a data-related area to reach their goal.

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In most cases, a master’s would be a terminal degree for those seeking to reach the highest levels of management within a corporate setting.

But what of those looking for advanced careers outside the business world? Those interested in pursuing a career in business academics or research in big data analysis, data modeling, business forecasting, or operations might consider earning a PhD in business analytics.

Doctoral studies in this area will provide a deeper look at, among other areas, statistical analysis, data-driven decision-making, probability, and research theory.

Rather than focusing on applying business analytics concepts, a PhD in business analytics will provide more discussions on the “how’s” and “why’s” of this area of study:

• How are data technologies used to make decisions?
• Why are statistical analysis methodologies used to analyze data?
• How is organizational software employed to improve databases and other business systems?

Since most individuals who pursue business analytics studies are of the mind to apply what they have learned in a corporate setting, how common are PhD in business analytics programs? In what format are such programs offered? How long might it take to earn such a degree, and how much might it cost?

These are among the questions you’ll find answered regarding the PhD in business analytics in the following article. There’s also a FAQs section at the end to cover other information, so you’ll come away with a thorough understanding of what you’ll learn, why you might consider such a program, and what you could expect to do career-wise with this PhD.

What is a Business Analytics PhD Degree?

Few schools offer a PhD in business analytics program, as the field is still emerging and developing. Of these, even fewer are dedicated business analytics programs; instead, many PhD in business analytics programs pair business analytics with other areas, such as operations and information systems.

You might find a few institutions offering data analytics or business intelligence as an area of specialization within the Doctor of Business Administration.

Concepts you are likely to study in a PhD in business analytics program include:

• Data mining
• Data analytics
• Data structures
• Applied statistics
• Multivariate analysis
• Applied optimization
• Advanced decision technologies
• Advanced programming techniques

Other subjects likely to be addressed in business analytics PhD programs include mathematics, operations management, and microeconomics. Some courses in a PhD program might be presented in a seminar format.

In contrast, others might give case study examinations to help students better understand the application of concepts discussed in the program. You can also expect to spend time analyzing and studying research methodologies and applying these to the research and development of a dissertation.

The dissertation process typically unfolds throughout the program. You would work closely with a dissertation coordinator or other faculty member as you conduct ongoing research, present a thesis proposal, develop a defense of that proposal, complete the written project, and present the dissertation. 

In some programs, you will be required to pass a comprehensive exam that could combine both written and oral formats; this exam is usually administered after completing your coursework and before the final two years of the dissertation process.

While some courses could be taken online, the dissertation might require regular meetings with a committee or advisor to develop your proposal, argument, and thesis.

In addition to business analytics, you might find doctoral programs in business administration or management courses in data science, data analysis, data mining, business intelligence, or operations that touch upon or delve into key points addressed in a PhD in business analytics program.

Best PhD in Business Analytics Degree Programs for 2024

Capitol technology university, drexel university, the university of iowa, the university of tennessee, knoxville, university of cincinnati, university of pittsburgh, university of south alabama.

These rankings were compiled from data accessed in December 2023 from Integrated Post-Secondary Education Data System (IPEDS) and College Navigator (both services National Center for Education Statistics). Tuition data was pulled from individual university websites and is current as of December 2023. If available, we also use additional criteria such as accreditation or designations by outside organizations or agencies.

Online PhD in Business Analytics Programs

PhD in business analytics programs are not conducted 100 percent online due mainly to the dissertation component of the program. Some schools, such as Capitol Technology University, might offer more online courses, while others could be fully on-campus. These programs are flexible, but the vast majority do require at least some in-person work. 

Ph.D. in business analytics programs are also typically full-time, four to five years in duration, so you should be prepared to devote the necessary time to complete these studies. In particular, completing the dissertation over the final two years of the program generally needs a full-time focus.

While these PhD programs certainly require much focus and dedication, completing a PhD in this field can certainly help an individual stand out since these programs are rare and challenging.

It can be expensive to obtain a PhD in business analytics, with tuition including fees ranging between $24,000 and $30,000+ per year. If applicable, factors impacting the costs include in-state or out-of-state residency and possible distance learning fees.

These tuition figures would not reflect the additional cost of room and board and any materials needed for coursework, which would vary between schools and locations. Application fees also apply and also vary among institutions.

Career Paths and Outcomes

If you are applying your advanced skills and knowledge in a business setting, you might have the opportunity to increase your earnings and responsibilities through career advancement.

According to statistics supplied by Salary.com , business analytics managers with a PhD could earn between $133,414 – $141,947 per year. Operations research analysts, who are involved in business analytics processes, are expected to be in demand throughout the next decade, with a 23 percent job growth projection according to the Bureau of Labor Statistics .

The BLS shows that these professionals earn a median annual wage of $85,720, with the upper ten percent realizing more than $149,000 annually. Those holding a PhD in business analytics might also consider pursuing work as a consultant.

As reported by the BLS, the projected job growth rate for all management analysts , including business analytics managers and management consultants, is 10 percent over the 2022-2032 decade.

This job growth rate is much faster than average, making it an appealing prospect for young professionals within the field. If a career in academics interests you, the BLS reports that post-secondary business teachers can expect an 8 percent increase in opportunities through 2032. As of May 2022, the median annual wage for post-secondary business teachers is $80,840.

Frequently Asked Questions

Since PhD in business analytics programs are not extremely common, it might be possible to find a related PhD program and align the research components with business analytics. Similar degrees include PhD programs in data science, big data analytics, business data science, management science, management analytics, operations, and information management, and business administration such as information and decision sciences.

Yes, a master’s degree in business is often required to enter this type of PhD program. You should also have a strong background in STEM-related subjects, possess strong computer and analytical skills, and be interested in learning about theory.

Some programs might require managerial experience before enrollment. You may also work in the field while obtaining your PhD, particularly before beginning your dissertation. Discussing potential employment or work experience with your prospective departments and programs is always advisable.

Most programs require at least a 3.0 GPA. As with many programs, the higher your GPA, the better your chances of getting accepted.

Yes, this PhD program is typically designated as a STEM program.

No, these programs are currently only full-time.

Related Resources

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Ph.D. in Analytics

• PhD in Management
• Undergraduate (BBA)

The core mission of the Mendoza PhD in Analytics is to develop thought-leaders in the analytics space that are engaged in impactful, cutting-edge scholarly research that considers the ethical dimension of data and its usage. Graduates of the PhD program are well-positioned to attain academic jobs at top business schools, where they can pursue successful careers in data analytics intensive domains such as business analytics, data science, information systems, operations, and computational social science, conducting research that is impactful and supports human flourishing.

Why Attain a PhD in Analytics?

The PhD degree is intended for those interested in the pursuit of knowledge – creating knowledge through research and disseminating new knowledge to students in the classroom. The field of analytics is without question one that is having a profound impact on business and society. There is a need for new professors capable of pursuing knowledge related to themes such as leadership in an AI-enabled world , ethical human-centered analytics , impactful computational social science , and next generation digital experimentation . These are just a few examples – we encourage our doctoral students to pursue whatever topics they’re passionate about and support them throughout their journey.

Why Notre Dame?

The Department of IT, Analytics, and Operations ( ITAO) is one of the premiere analytics departments, with world-class faculty, cutting-edge research labs, unparalleled industry connections, and access to a large network of Notre Dame alumni that are eager to support analytics thought-leadership.

Faculty Productivity and Reputation

The ITAO department encompasses a diverse set of faculty with significant research capabilities and extensive editorial board experience. ITAO faculty members currently serve in 10+ editorial roles at major journals related to analytics, information systems, and operations; and others have served in similar positions at quality journals previously. In recent years, ITAO faculty have won research awards at top journals and associations such as AIS, INFORMS, POM Society, and the IEEE.

Research Labs and Centers

The ITAO department has multiple analytics-focused research labs, including the Gaming Analytics Lab ( GAMA ) and the Human-centered Analytics Lab ( HAL ). Department faculty are also actively involved with the Notre Dame Technology Ethics Center ( ND-TEC ) and the Lucy Family Institute for Data and Society. Additionally, the Mendoza College of Business has a full-time dedicated data science team that supports data acquisition, collection, and wrangling as part of the Mendoza Behavioral Lab ( MBL ).

Partnerships with Industry

Our faculty routinely collaborate with various industry partners and federal agencies, including Electronic Arts, Ubisoft, eBay, Oracle, and NASA. The department is also actively involved with Notre Dame California ( ND California ), iNDustry Labs , and the Applied Analytics and Emerging Technology Lab (AeTL).

Cutting-edge Curriculum

It is essential that Ph.D. programs equip their graduates with the thorough, current training demanded by today’s market. Our analytics PhD program is well-positioned to produce “T-shaped” scholars that receive a foundation comprising select theories and ethics coursework, and depth via analytics methods courses and seminars. We see an opportunity to develop multi-dimensional scholars well-versed in contemporary analytics methods while also being adept at framing problems, thinking critically about the logic and flow between a problem and proposed solution, and capable of extrapolating their work to the bigger picture.

Institutional Prestige

Notre Dame is a Top 20 US News university with an international reputation and brand. A PhD from Notre Dame therefore sets our graduates up for success in academia at elite private schools or flagship state universities. Some of our graduates are also well-positioned for industry-oriented research roles.

The IT, Analytics, and Operations (ITAO) faculty use contemporary analytics methods such as machine learning, econometrics, statistics, and analytical modeling to study an array of research topics including ethics and privacy, health, sports and gaming, AI business applications, digital experimentation methods, and e-commerce:

• Ahmed Abbasi (AI, machine learning, text analytics, user modeling)
• Corey Angst (health analytics, ethics, privacy, security)
• Nicholas Berente (digital innovation, managing AI, institutional change)
• Francis Bilson Darku (sequential analysis, nonparametric statistics, econometrics)
• Jeff Cai (statistical learning, network analysis, data science)
• Sarv Devaraj (business analytics, healthcare management, supply chains)
• Rob Easley (economic modeling, Internet auctions, e-commerce)
• Ken Kelley (psychometrics, statistical methods, human-centered analytics)
• John Lalor (machine learning, natural language processing)
• Junghee Lee (innovation/technology in supply chains, healthcare operations)
• Kirsten Martin (technology ethics, privacy, business responsibility)
• Alfonso Pedraza-Martinez (humanitarian operations, disaster management, analytical modeling)
• Xinxue (Shawn) Qu (innovation diffusion, data management, predictive analytics)
• Sriram Somanchi (machine learning, event and pattern detection)
• Yoon Seock Son (econometrics, mobile strategy, AI business strategies)
• Daewon Sun (pricing strategies, resource management, economics of IS)
• Margaret Traeger (computational social science, social networks, health analytics)
• Katie Wowak (supply chains, traceability in global networks)
• Yang Yang (machine learning, network analysis, computational social science)
• Zifeng Zhao (statistical methods, large-scale forecasting, risk monitoring)

Program Structure

The program is designed to be five-years, full-time, in-residence. Click below for a year-by-year breakdown of how the program is structured.

In the first year, you will learn foundational theories, concepts, and methods related to analytics. ITAO seminar courses will include Human-centered AI, Philosophy of Science, and Computational Social Science. Methods related coursework will include classes related to machine learning, data science, statistics, and/or econometrics. Based on prior coursework, some students might be able to opt out of certain courses. In consultation with the program director, you will form a plan of study for methods courses and electives that align with your research interests.

At the beginning of the first year, you will also be assigned a faculty mentor that will guide your efforts related to the first-year research paper – the purpose of the first-year paper is to demonstrate the potential to produce high-quality scholarly manuscripts.

In year 2, you will continue to broaden and deepen your understanding of the analytics space with ITAO seminars related to Human-centered Statistics, Mathematical Modeling for Consumer Analytics, Operations and Prescriptive Analytics, and Data and Technology Ethics. At the end of the second year, you will have an examination requirement (in the form of an exam or paper). This examination will test your knowledge of ITAO seminar courses taken over the first two years. Your second-year faculty mentor will offer guidance on the paper.

You will wrap up any remaining coursework and turn your attention to pushing research projects towards publication.

In addition to managing your research portfolio, you’ll focus on finalizing your dissertation topic and defending your proposal.

The final year will involve interviewing for open positions, completing dissertation chapters, and having your final defense. And then, onward and upward into your exciting new career!

Marialena Bevilacqua received a BA in Math with a minor in Statistics from the College of Holy Cross in Massachusetts, where she was class president and captain of the field hockey and lacrosse teams. She attained an MS in Business Analytics from Georgetown University. Marialena was a brand operations analyst and manager plus “rookie of the year” at Thrasio.

Ryan Cook received a BS in Analytics with a minor in Philosophy from Notre Dame, and an MS in Computer Science from the University of Pennsylvania. He worked as a research scientist in Notre Dame’s Human-centered Analytics Lab and Center for Computer Assisted Synthesis, supporting projects related to NLP and network analysis. Ryan was also previously an analyst at EY in Chicago.

Kezia Oketch attained a BS in Computer Science from Spelman College and an MS in Engineering, Science, and Technology Entrepreneurship from Notre Dame. She was a Gold Scholar at the Grace Hopper Conference and co-founded a research startup focused on technology-based solutions to the cancer crisis in Kenya. Kezia was also a software engineer at an Ohio-based tech company.

Sunan Qian double majored in Economics and Math, and minored in French, at Mount Holyoke College. She received an MS in Finance with a minor in Quantitative Methods from Carnegie Mellon University – her thesis explored the impact of environmental regulation on firms’ carbon emissions and market value. Sunan was a digital consultant for Accenture in Tokyo.

Will Stamey was a double major in Economics and Math at Baylor University, with a minor in Philosophy. He was a Baylor Fellow and Crane Scholar, and completed the health economics sequence. Will’s honors thesis explored the impact of online education on academic outcomes. He was also a researcher at the Colorado Summer Institute in Biostatistics.

Xinyuan Zhang completed her undergraduate coursework from the University of Sydney, where she double majored in Finance and Statistics and researched sentiment analysis in the Computing Finance Lab. Xinyuan received an MS in Statistics from UCLA – her thesis explored preference models for two-sided platforms. She was also a researcher in the Trusted AI Systems Lab at Nankai University.

As Director of the Analytics PhD program, I’m happy to answer any questions you might have about our program (or a PhD in general). Feel free to email me at [email protected].  I look forward to connecting with you.

Our application deadline for the Fall 2024 incoming cohort is January 7, 2024 . You can apply using the “APPLY” button in the side menu (also appearing in the menu at the top of the page).

Ahmed Abbasi

Frequently Asked Questions

All students who are admitted to the program will be given a full tuition waiver. So the program is essentially tuition-free, with the only direct costs being miscellaneous university fees. In addition, all PhD students are paid a stipend of $40,000 a year. That stipend serves as compensation for your research activities (and for the teaching you would do in years three and four).

We require either the GRE or the GMAT, and have no preference between the two. If you’ve previously taken one of those tests, we require a score that is less than five years old. Unfortunately, the admissions committee will not waive the GRE/GMAT requirement under any circumstances.

It’s hard to say, as that is a function of a given application cycle, along with the rest of an applicant’s admissions portfolio. Most years, however, verbal and quantitative percentiles in the 80’s or above will be needed to advance to the short list.

Yes, if English is not your native language, or if English was not your language of college instruction. We accept either the TOEFL or the IELTS. If you’ve previously taken one of those tests, we require a score that is less than two years old.

You’ll fill out an online application form that will be linked on this site. And you’ll provide your resume, a statement of purpose/intent, three letters of recommendation, and unofficial transcripts of college (and any masters) degrees.

No. This sort of degree is best thought of as a research apprenticeship—where you are learning research skills in collaboration with faculty. That sort of collaboration requires a full-time, five-year, in-residence commitment.

Yes. While the program will prepare graduates to work in teaching institutions, government, and industry, the priority will be to prepare students for faculty roles so that they can be thought-leaders involved in teaching the next generation of analytics students and working to advance analytics-oriented research. Typically 80-90% of PhDs in Analytics take academic positions, while 10-20% pursue careers in industry (e.g., Silicon Valley, Wall Street, Think Tanks, etc.).

No. This is—first and foremost—a research degree. Teaching is part of the degree, as teaching is an important part of a professor’s career. But, if teaching or administration are your main focus, you might do a search for teaching-oriented PhD programs or Doctor of Business Administration (DBA) programs, which are sometimes also called Executive Doctorate programs.

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Doctor of Philosophy (PhD) in Business Analytics and Data Science

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Earn a doctorate degree in business analytics and data science, advance both your scholarly research and your career

In a competitive world, success depends on finding and maintaining an edge – and that requires making data-driven decisions. Organizations in an ever-expanding array of industries – from sports, to health care, to cybersecurity – are seeking out professionals with the expertise needed to utilize data effectively.

The Ph.D. in Business Analytics and Data Science program is designed to prepare accomplished professionals for senior positions in either public or private sectors. The mission of the Doctor of Philosophy in Business Analytics and Data Science degree is to enable professionals from the field to understand and evaluate the scope and impact of decision sciences and associated technology from the institutional as well as from an industry and global perspective. The program will provide the student an academic environment to support the development of high-level critical thinking and leadership skills as they relate to management and decision sciences, to develop high-level decision science technical skills, and to provide doctoral level research experience allowing innovative and practical contributions to the management and decision sciences body of knowledge.

Why Capitol?

Learn around your busy schedule

Our low residency requirement takes in consideration the time commitment of your established career.

Online format

The majority of our business analytics and data science doctorate is offered online.

Our classes are taught by working professionals

Capitol’s faculty are working professionals in the field – subject matter experts who apply their knowledge on a daily basis and are up to speed on emerging developments.

Key Faculty

Adjunct Professor

Dissertation Chair

Career Opportunities

Market demand for business analytics and data science (PhD)

You’ll have the necessary credentials to lead local, national or global organizations & provide expert guidance on using organizational information assets.

A degree that is relevant to any and every organization

This doctorate will teach how analytics helps shape strategic plans in whatever business you are involved in.

Degree Details

This program may be completed with a minimum of 60 credit hours, but may require additional credit hours, depending on the time required to complete the dissertation/publication research. Students who are not prepared to defend after completion of the 60 credits will be required to enroll in RSC-899, a one-credit, eight-week continuation course. Students are required to be continuously enrolled/registered in the RSC-899 course until they successfully complete their dissertation defense/exegesis.

The Doctorate degree in Business Analytics and Data Science is a total of 54-66 credits, which covers a literature review, professional research and theory, professional ethics and leadership, dissertation preparation, and other topics. Students can select from several electives based on their personal focus.

Doctor of Philosophy - 54 credits

Please check with an Academic Advisor to confirm degree requirements and program electives.

Educational Objectives:

• Students will integrate alternate, divergent, or contradictory perspectives or ideas fully within Decision Science.
• Students will present scholarly data presentations via appropriate communication channels.
• Students will demonstrate advanced knowledge and competencies in data handling.
• Students will analyze various information to draw data-supported conclusions.
• Students will execute a plan to complete a significant piece of scholarly research in data analytics.
• Students will synthesize various sources of data to produce robust conclusions.
• Students will apply data analysis to determine the validity of data
• Students will compare data to determine the trends and spurious results

Learning Outcomes:

Upon graduation:

• Graduates will evaluate the legal, social, economic, environmental, and ethical impact of actions within business and data science, and demonstrate advanced knowledge and competency to integrate the results in the leadership decision-making process.
• Graduates will demonstrate the highest mastery of traditional and technological techniques of communicating ideas effectively and persuasively.
• Graduates will evaluate complex problems, synthesize divergent/alternative/contradictory perspectives and ideas fully, and develop advanced solutions to business analytic and decision science challenges.
• Graduates will contribute to the body of knowledge through data analysis.
• Graduates will apply leading edge theories to data analysis.
• Graduates will disseminate knowledge to their peers from research.
• Graduates will lead the development of data analysis to the broader community.

Tuition & Fees

Tuition rates are subject to change.

The following rates are in effect for the 2024-2025 academic year, beginning in Fall 2024 and continuing through Summer 2025:

• The application fee is $100
• The per-credit charge for doctorate courses is $950. This is the same for in-state and out-of-state students.
• Retired military receive a $50 per credit hour tuition discount
• Active duty military receive a $100 per credit hour tuition discount for doctorate level coursework.
• Information technology fee $40 per credit hour.
• High School and Community College full-time faculty and full-time staff receive a 20% discount on tuition for doctoral programs.

Find additional information for 2024-2025 doctorate tuition and fees.

Need more info, or ready to apply?

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Harvard Business Analytics Program / Program Overview

Harvard Business Analytics Program

The Harvard Business Analytics Program is offered through a collaboration between Harvard Business School (HBS), the John A. Paulson School of Engineering and Applied Sciences (SEAS), and the Faculty of Arts and Sciences (FAS).

Designed for aspiring and established leaders in any industry, the program leverages a rigorous cross-disciplinary curriculum to help students not just analyze data but also understand it, translate it, and incorporate it into strategy at the top levels of their organizations. Students benefit from world-class instruction in courses designed by esteemed Harvard faculty and collaborate with diverse peers in highly interactive online classes. In addition, students attend two in-person immersions hosted at Harvard Business School, where they formulate solutions to real-world business scenarios and develop a network of data-minded business leaders. Students emerge from the program poised to advance into analytics-focused leadership roles and drive disruptive innovation through data.

Program Structure

6 Core Courses

Online, eight weeks each

Online, two weeks each

2 Immersions

On campus, three days each

Class cohorts begin four times per year in January, April, July, and October. The program can be completed in nine months.

Program Fees

The total fees for the Harvard Business Analytics Program is $51,500.

Program fees will be paid incrementally each term based on the number of courses taken. Financial aid is not available for certificate programs.

Note that all quoted rates are based on the 2019 – 2020 academic year and are subject to change without notice.

Curriculum and Learning Outcomes

Designed for experienced professionals who are realizing the impact of data and analytics on business strategy and operations, the Harvard Business Analytics Program explores new ways to analyze, interpret, and take advantage of data to drive competitive business advantages.

Courses and Seminars

• Digital Strategy and Innovation
• Programming and Data Systems
• Leadership and People Analytics
• Operations and Supply Chain Management
• Foundations of Quantitative Analysis
• Data-Driven Marketing
• Data Science Pipeline and Critical Thinking
• Leadership, Innovation, and Change

Read full descriptions of each Harvard Business Analytics Program course.

Learning Outcomes

The Harvard Business Analytics Program helps students build capabilities in technical, analytical, and operational areas. As a student, you will

• sharpen your core data analysis and management skills;
• explore emerging technologies and practices in next-generation analytics, such as blockchain, digital strategy, and AI/ML; and
• learn how to interpret your findings and use them to uncover valuable business insights.

Learning Experience

Attend weekly live classes hosted in an interactive online classroom.

Complete coursework on your time via web or mobile app.

Attend on-campus immersions to network and apply new skills firsthand.

Learn more about the Harvard Business Analytics Program learning experience.

World-Renowned Faculty

Study with top faculty members from HBS, SEAS, and FAS who are accomplished leaders and innovators in their fields.

Meet the faculty members and learn more about their accomplishments.

Admissions Requirements

• Bachelor’s degree required
• No minimum experience (however, curriculum is designed for experienced professionals)
• Proof of English language proficiency
• World Education Services transcript evaluation (for international applicants only)

Explore the full breakdown of admissions guidelines.

Application Requirements

• Transcripts from all degree-granting institutions you have attended (unofficial transcripts are accepted)
• At least one letter of recommendation, preferably from a professional contact (maximum of two letters accepted)
• Current professional resume
• One essay explaining your objectives and goals as they relate to attending this program
• Application fee of $75

View the full requirements and upcoming application deadlines.

Take the Next Step

Go to your application now  or if you have questions, contact your enrollment counselor at  +1-855-624-8222  or [email protected].

Get More Information

15 Best Online PhD in Business Analytics & Intelligence [2024 Guide]

If you’re interested in furthering your expertise and advancing your career in mathematics, business operations, and research and data analysis, then pursuing an online PhD in Business Analytics may be the right path for you.

Editorial Listing ShortCode:

With a PhD in Business Analytics, you may be equipped for a rewarding career across a variety of industries and positions, from teaching and research in academia to roles in management and business operations, data science, economics, and leadership.

Universities Offering Online PhD in Business Analytics Degree Programs

Methodology: The following school list is in alphabetical order. To be included, a college or university must be regionally accredited and offer degree programs online or in a hybrid format.

1. American Public University

American Public University’s Doctor of Strategic Intelligence program is an option for students interested in careers in analytics and intelligence.

The curriculum focuses on the organizational, cultural, and intellectual barriers in the field. Students learn about both domestic and global intelligence through a mixture of research, hands-on practice, and multidisciplinary studies.

• Doctor of Strategic Intelligence

APUS is accredited by the Higher Learning Commission.

2. Capella University

The Doctor of Business Administration in Business Intelligence program at Capella University is accredited by the ACBSP and features a diverse faculty of distinguished scholar practitioners.

The program consists of 8 core courses and 4 specialized courses, and students must complete a doctoral research project to graduate. There are also 2 required residencies.

• DBA in Business Intelligence

Capella University is accredited by the Higher Learning Commission.

3. Capitol Technology University

Students in Capitol Technology University’s PhD in Business Analytics and Data Science program can tailor their elective courses to reflect their own personal career goals.

The curriculum includes courses such as management theory in the global economy, analytics and decision analysis, professional research theory and practice, and management of information.

• PhD in Business Analytics and Data Science

Capitol Technology University  is accredited by the Commission on Higher Education of the Middles States Association of Colleges and Schools.

4. Colorado Technical University

Colorado Technical University’s Doctor of Computer Science in Big Data Analytics program includes symposium experiences, an online curriculum, and a residency component.

The program can potentially be completed in 3 years, and grants and scholarships are available for qualifying students. There is an emphasis placed on research, and the curriculum reflects that.

• Doctor of Computer Science – Big Data Analytics

Colorado Technical University is accredited by the Higher Learning Commission.

5. Dakota State University

Dakota State University’s PhD in Information Systems program teaches students to develop, support, master, and maintain new innovations in the field of information technology.

The program is flexible and can be undertaken part- or full-time, either on campus or online. There are also three concentration options: health care, security, and analytics.

• PhD in Information Systems – Analytics

Dakota State University is accredited by the Higher Learning Commission.

6. George Fox University

Students enrolled in George Fox University’s Doctor of Business Administration can choose from three concentrations: accounting, management, or marketing.

In addition to concentration-specific courses, students will also take core business courses, education and teaching courses, and courses concerning doctoral research and their dissertations. The degree program requires 56 credits for completion.

• DBA in Management – Strategic Management

George Fox University is accredited by the Northwest Commission on Colleges and Universities.

7. Grand Canyon University

The Doctor of Business Administration in Data Analytics degree at Grand Canyon University is a quantitative research degree that equips students to create, interpret, and share data in professional settings. Students should gain foundations in analytics and prescriptive modeling and come to understand emerging issues in finance.

• DBA in Data Analytics

Grand Canyon University is accredited by the Higher Learning Commission.

8. Liberty University

Liberty University’s Doctor of Business Administration in Strategic Management program is 100% online, is accredited by the ACBSP, and provides students with the procedure and policy skills necessary for business leadership positions.

Notable courses include ethical leadership, strategic leadership and management, organizational and executive coaching, and workforce planning and employment.

• DBA in Strategic Management

Liberty University is accredited by the Southern Association of Colleges and Schools Commission on Colleges.

9. National University

National University offers a Doctor of Philosophy in Data Science that can typically be completed in 40 months. The program requires the completion of 20 courses for a total of 60 credits.

The curriculum explores topics such as predictive analytics, data visualization, data curation, critical analysis, and quantitative research.

• PhD in Data Science

National University is accredited by the Western Association of Schools and Colleges.

10. Regent University

Regent University offers a Doctor of Strategic Leadership degree program that takes a Christian approach to structure, leadership, communication, cultural understanding, and team building.

There are ten concentrations from which students can choose, including an individualized concentration that allows them to customize their curriculum to meet their unique career objectives.

• Doctor of Strategic Leadership

Regent University is accredited by the Southern Association of Colleges and Schools Commission on Colleges.

11. South Dakota State University

The PhD in Computational Science and Statistics program at South Dakota State University features a concentration in Data Science for students interested in business analytics.

Applicants are encouraged to have strong quantitative, communication, and problem-solving skills as well as the ability to unravel complex situations. Statistical methodologies and research are key curriculum components.

• PhD in Computational Science and Statistics – Data Science

South Dakota State University is accredited by the Higher Learning Commission.

12. Southeastern University

Southeastern University’s strategic leadership doctoral program features mostly online coursework with a few one-week intensives mixed in as well.

Courses in this program include leadership theory, situational and transformational leadership, cultural intelligence, followership, teamwork dynamics, and servant and authentic leadership. The university accepts financial aid and offers payment plans to students who qualify.

• Doctorate in Strategic Leadership

Southeastern University  is accredited by the Southern Association of Colleges and Schools Commission on Colleges.

13. Temple University

Students interested in business analytics at Temple University can enroll in the PhD in Business Administration program and select the Strategic Management concentration.

The program has AACSB accreditation and must be undertaken in a full-time capacity. It generally takes 7 years for completion, and financial aid and assistantships are available for qualifying students.

• PhD in Business Administration – Strategic Management

Temple University  is accredited by the Middle States Commission on Higher Education.

14. University of Central Florida

University of Central Florida’s PhD in Big Data Analytics provides students with statistics foundations and teaches them to analyze large amounts of data. Students should learn about data mining, statistical analysis, computer science and text, and predictive analytics. After graduating, students should be equipped for careers as data analysts and scientists.

• PhD in Big Data Analytics

The  University of Central Florida  is accredited by the Southern Association of Colleges and Schools Commission on Colleges.

15. Walden University

Walden University offers a PhD in Management Information Systems with a concentration in Management.

It examines business organizations from every aspect, including management, technology, processes, systems, and the people who work there. Course topics include cloud computing, strategic direction, big data, systems integration, and systems architecture. Four residencies are required.

• PhD in Management – Information Systems Management

Walden is accredited by The Higher Learning Commission.

Online Doctorate in Business Analytics Programs

A doctorate in business analytics is considered a Big Data PhD. You may be required to complete a variety of advanced-level courses that cover topics such as supply chain management, business analytics, business operations, and project management.

Other courses may cover research methodology, empirical analysis, data modeling, and advanced statistics. In addition to standard coursework, some PhD programs in business analytics may require you to complete a research-based dissertation in order to complete the program and obtain your degree.

With a PhD in Business Analytics, you may be prepared for a rewarding career in academia as a professor, a researcher, or even both. As a professor, you would instruct students in various content areas related to your business analytics specialty and participate in the development of the course curriculum.

Choosing a career as a researcher may allow you to conduct research, collect and analyze data, report research findings to various stakeholders, and contribute to growth and progress in your field.

There are also a number of positions outside of the realm of academia that may be open to you with a doctorate in business analytics. These positions include economist, management analyst, data scientist, statistician, mathematician, and actuary. You may also qualify for top-level executive positions, such as a chief data officer.

In these positions, you may be responsible for analyzing data using statistical and analytical software and making recommendations to business leaders based on data, trends, and forecasts in relation to business operations.

With a PhD in Business Analytics, you may also lead the collection, analysis, evaluation, and reporting on various types of data within a business.

The evaluation of risks faced by businesses concerning finance and operations, the creation of statistical models for use in data analysis, and the implementation of information systems may also fall under your job description.

Business Analytics Careers & Salaries

Positions for business analytics expertise exist within a diverse range of industries, including academia, finance and business firms, and public and private businesses. You may even become an independent consultant operating your own business.

According to the Bureau of Labor Statistics , there are a number of career options to choose from if you pursue a PhD in Business Analytics.

A number of positions that suit a PhD in Business Analytics are forecast to see significant job growth over the coming decade. For example, job growth is predicted for financial analysts (5%), postsecondary teachers (9%), management analysts (11%), economists (14%), and actuaries (18%).

Careers including operations research analysts and mathematicians or statisticians are expected to experience remarkable growth, with increases over the next several years projected at 25% and 33%, respectively.

PhD in Business Analytics Curriculum & Courses

A doctorate program in business analytics will include coursework that covers advanced mathematics, business operations, decision-making, and data analysis and visualization.

Courses included in a doctoral business analytics program may include those listed below:

• Supply Chain Analysis : An in-depth look at supply chain management strategies, decision-making, planning and forecasting, and asset control systems
• Microeconomics : Analysis of decision-making within businesses, utilizing various economic theories
• Multivariate Statistical Analysis : An overview of several multivariate methods and the hands-on application of related techniques, building on existing knowledge of mathematics, statistics, and algebra
• Data Structures : Analysis of different data structures and the ideal uses for each structure type within a business.
• Advanced Decision Technologies : Review of available decision support technologies, including a look at the limitations of use and possible alternatives
• Management Theory in a Global Economy : Exploration of management theories in relation to existing business practices and in the context of global trade and economics
• Decision Analysis : Overview of predictive analytic methods, data mining, and a review of technologies used in the analysis process
• Data Visualization : A review of data modeling methods and best practices, the use of R software for data analysis, and approaches for the presentation of data and findings
• Professional Ethics : Exploration of ethical practices in business and the impact decisions have in a cultural, legal, and social context
• Information Systems Implementation : Exploration of organizational change management practices in relation to design, implementation, and use of new information systems to improve organizational performance

While the specific structure of each degree program differs, earning your PhD in Business Analytics may also require you to complete a significant amount of research and to complete a formal dissertation.

Admissions Requirements

Admission requirements for online PhD in Business Analytics programs vary from school to school, but they may include the items listed below.

• GMAT or GRE scores, if required : Schools may require your GMAT or GRE score, and in some cases, they may have specific score thresholds or requirements for admission.
• Letter of recommendation : One or more letters of recommendation may be requested to provide detail around your strengths, weaknesses, and experience in relation to the program.
• Interview : An in-person interview may be required to assess your fit for the program, along with your overall purpose and motivation for enrollment.
• Transcripts : Transcripts from previous studies in a bachelors or masters degree program may be requested to verify the quality of your previous education.

Similar to a masters in business analytics online , additional admission standards may be required depending on the schools you’re applying to. Other requirements may include a statement of purpose, your resume, or a verification of English proficiency.

Accreditation

Regional accreditation certifies that the quality of an academic program meets a predetermined set of standards. The overall regard of an academic program, including the ability to transfer credits completed in that program, is impacted by its accreditation status.

Accreditation may also be an important consideration for employers, playing a key role in hiring decisions made by the recruitment team or hiring manager. Additionally, various certification associations or professional societies may require members to hold a degree from an accredited institution in order to be eligible for membership with the association.

Before applying to or enrolling in a doctoral program in business analytics, you may consider reviewing the accreditation status of the program via the website for the US Department of Education .

Financial Aid and Scholarships

While pursuing a PhD in Business Analytics may be a costly undertaking, you might be eligible for financial aid and scholarships that can help ease the financial burden of your degree.

You may qualify for federal or state aid programs in the form of loans and grants. While loans generally require repayment after a certain time period, grants usually do not need to be repaid once your studies are completed.

Additional funding support may be available to you in the form of scholarships, which can be offered by private organizations to fund your studies and do not require repayment. Some schools may offer funding packages to help cover the cost of your doctorate.

The structure of funding packages and eligibility may vary from school to school, but they often include coverage of tuition fees, a stipend for living expenses incurred while completing your degree, and access to health and dental benefits.

You can explore various financial aid and scholarship opportunities via the Federal Student Aid website, and here you can also fill out the Free Application for Federal Student Aid.

What Can You Do with a PhD in Business Analytics?

With a PhD in Business Analytics, you may be qualified for a career in various sectors, such as academia, public or government organizations, private businesses, financial firms, insurance agencies, consultancies, and more.

According to the Bureau of Labor Statistics, careers in the field of business analytics may include actuary, mathematician, economist, management analyst, business operations specialist, and data analyst.

Earning your PhD in Business Analytics online may also allow you to become a faculty member within a postsecondary institution. As a member of the faculty, you would be a professor in content areas related to your expertise.

How Long Does It Take to Get an Online PhD in Business Analytics?

If you enroll in a full-time PhD program in business analytics, it may take between 3 to 5 years to obtain your degree. The length of a program will vary from school to school and depend on the overall program structure and graduation requirements.

Some schools and programs may allow you to complete your PhD on a part-time basis. This may increase the amount of time it takes for you to complete your degree. In some cases, part-time studies in a PhD program may take 6 to 8 years to complete.

A beneficial move may be to first earn an on-campus or online graduate certificate in business analytics , which is earned after completing a masters degree, to see if this field is the one you want to pursue. In many cases, the credits earned in a certificate program will transfer to a doctorate program.

Certain PhD programs may require you to finish all program components within a specific time frame in order to obtain your degree, so it may be strategic to review all school and degree details before enrolling in a program.

What’s the Difference Between Business Analytics vs. Business Intelligence?

An online business intelligence degree program uses descriptive analytics and places importance on the collection and storage of data and information. Business analytics, on the other hand, focuses on the use of that information to make informed decisions for a business.

Both business intelligence and business analytics are used to help organizations make better decisions. The key difference is that business intelligence uses past and current data while business analytics uses predictions and future case analysis.

Due to the intricate nature of business intelligence and analytics, an online PhD in Business Intelligence may be a stand-alone program or part of a comprehensive doctoral program in business intelligence and business analytics.

What’s the Difference Between Business Analytics vs. Data Analytics?

Business analytics places greater emphasis on the role of data within a business or organization for decision-making. This includes those related to supply chain management, market trends, business operations, and project management.

Data analytics refers to the technical process of working with data and preparing it for the business analytics and decision-making process. Data analytics is also used more broadly than business alone and plays an important role in science, healthcare, and government organizations.

What’s the Difference Between Business Analytics vs. Data Science?

Data science involves the analysis of data and information using mathematical and statistical methods and programs. Unlike business analytics, data science does not narrow in on the use of that data in decision-making for a business.

In contrast, business analytics incorporates the analysis of data using statistical approaches with insights gained from the analysis process to help make better and more informed business decisions.

Business analytics can contribute to decision-making in relation to management and business operations, logistics, economics, market trends, and financial risk.

Is a PhD in Business Analytics Worth It?

Yes, a PhD in Business Analytics is worth it for many students. According to the Bureau of Labor Statistics, business and financial jobs are set to grow at 5% over the next 10 years, faster than the average for all occupations.

Common business analytics careers in this field include postsecondary teachers, economists, researchers, statisticians, and business operations specialists.

In a business analytics career, you may work on projects that require regular use of mathematical expertise, business operations knowledge, research skills, and advanced understanding of data analysis practices.

Getting Your Doctorate in Business Analytics Online

Earning a PhD in Business Analytics may offer you a challenging opportunity to advance your career and expertise in mathematics, research, and data analysis. You could grow your skill set and explore the impact that data has on the decision-making process within a business or organization.

Accredited PhD programs in business analytics may include coursework that covers data analysis and visualization, statistical and mathematical analysis, business operations, management theory, and use and implementation of information systems.

Positions in the field of business analytics offer an above-average annual salary and are predicted to see significant growth over the coming years. Earning your doctorate in the field of business analytics may allow you to lead a rewarding career in academia, research, business, and public or government institutions.

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Phd in big data analytics.

The PhD in Big Data Analytics is an interdisciplinary STEM PhD program focusing on systems and technologies for processing data and information. Unlike pure data science programs, this program includes the human and social implications of information and technology, bringing in critical components of cognition, ethics, biases and storytelling into a strong, big data analytics curriculum.

This program will graduate advanced big data practitioners, researchers and scientists who can work with large data, write code, develop models and build systems, and do so while acutely aware of potential biases and ethical uses issues. Students will develop theoretical and applied skills, including how to design, implement and evaluate information-focused big data technologies that support decision-making across social and organizational contexts.

Why the focus on an interdisciplinary program? Many existing PhD programs offer training in all of the stand-alone scientific fields such as statistics, mathematics, computer science, or information systems, but they do not unify the salient ideas from these fields.

In that sense, graduates become experts in a relatively narrow area in, for example, statistical modeling of data, but are inexperienced and unaware of how to parse and store data or how to code “apps” and develop solutions that automatically make decisions based on the data models or how to evaluate the human and societal impact of the developed data solutions and systems.

This PhD program combines human and technical skills with analytical abilities required to support decision-making by today’s leaders and innovators. A big data analytics PhD will introduce students to a truly interdisciplinary program and diverse perspective to important problems and opportunities for society that are driven by the availability of big data.

Why now? An increasing number of companies are looking for professionals with experience in big data analytics, and they are hard to find, especially in the educational spectrum, i.e. at the expert/PhD level. In addition, there is an increasing demand for faculty with PhDs in this field. This program is timely as we are seeing deep problems in society  (polarization of society, fake news, algorithmic bias) where analytics-driven solutions alone struggle to be sufficient — problems where the broader perspective of building intelligent systems by being aware of broader issues and human aspects becomes increasingly important as well.

Programs that bring together curriculum and faculty expertise from multiple areas (such as information systems, mathematics, psychology, computer science, etc.) will play a critical role in this broader context.

Application deadline is February 1. 

Best Business Analytics MBA Programs

Ranked in 2024, part of Best Business Schools

A business analytics MBA prepares professionals to work

A business analytics MBA prepares professionals to work for data-focused businesses. Business analytics programs explore big data, optimization, data visualization, risk management systems, decision models and forecasting. These are the best business schools for business analytics. Read the methodology »

For full rankings, GMAT scores and employment data, sign up for the U.S. News Business School Compass .

See online MBA rankings.

Here are the Best Business Analytics MBA Programs

Massachusetts institute of technology (sloan), carnegie mellon university (tepper), university of pennsylvania (wharton), new york university (stern), georgia institute of technology (scheller), columbia university, university of california, berkeley (haas), university of chicago (booth), university of texas--austin (mccombs).

SEE THE FULL RANKINGS

• Clear Filters

Cambridge , MA

• # 1 in Business Analytics
• # 5 in Best Business Schools

N/A TUITION AND FEES

817 ENROLLMENT (FULL-TIME)

The Sloan School of Management at Massachusetts Institute of Technology (Sloan) offers these departments and... Read More »

Business school

Tuition and fees, enrollment (full-time), average gmat (full-time).

Pittsburgh , PA

• # 2 in Business Analytics
• # 16 in Best Business Schools  (tie)

$75,712 total program (full-time) TUITION AND FEES

359 ENROLLMENT (FULL-TIME)

The Tepper School of Business at Carnegie Mellon University (Tepper) offers these departments and concentrations... Read More »

$75,712 total program (full-time)

Philadelphia , PA

• # 3 in Business Analytics
• # 1 in Best Business Schools  (tie)

$79,800 per year (full-time) TUITION AND FEES

1,754 ENROLLMENT (FULL-TIME)

The Wharton School at University of Pennsylvania (Wharton) offers these departments and concentrations: accounting... Read More »

$79,800 per year (full-time)

New York , NY

• # 4 in Business Analytics
• # 7 in Best Business Schools  (tie)

$84,180 per year (full-time) TUITION AND FEES

639 ENROLLMENT (FULL-TIME)

The Leonard N. Stern School of Business at New York University (Stern) offers these departments and concentrations... Read More »

$84,180 per year (full-time)

Atlanta , GA

• # 5 in Business Analytics
• # 25 in Best Business Schools

$29,508 per year (in-state, full-time) TUITION AND FEES

$40,752 per year (out-of-state, full-time) TUITION AND FEES

145 ENROLLMENT (FULL-TIME)

The Scheller College of Business at Georgia Institute of Technology (Scheller) offers these departments and... Read More »

$29,508 per year (in-state, full-time)

$40,752 per year (out-of-state, full-time)

• # 6 in Business Analytics
• # 12 in Best Business Schools  (tie)

$84,496 per year (full-time) TUITION AND FEES

1,512 ENROLLMENT (FULL-TIME)

The Columbia Business School at Columbia University offers these departments and concentrations: accounting, business... Read More »

$84,496 per year (full-time)

Berkeley , CA

• # 7 in Business Analytics

$69,814 per year (in-state, full-time) TUITION AND FEES

$82,059 per year (out-of-state, full-time) TUITION AND FEES

509 ENROLLMENT (FULL-TIME)

The Haas School of Business at University of California, Berkeley (Haas) offers these departments and concentrations... Read More »

$69,814 per year (in-state, full-time)

$82,059 per year (out-of-state, full-time)

Chicago , IL

• # 8 in Business Analytics  (tie)
• # 3 in Best Business Schools  (tie)

$80,961 per year (full-time) TUITION AND FEES

1,307 ENROLLMENT (FULL-TIME)

The Booth School of Business at University of Chicago (Booth) offers these departments and concentrations: accounting... Read More »

$80,961 per year (full-time)

Austin , TX

$51,238 per year (in-state, full-time) TUITION AND FEES

$56,814 per year (out-of-state, full-time) TUITION AND FEES

454 ENROLLMENT (FULL-TIME)

The McCombs School of Business at University of Texas--Austin (McCombs) offers these departments and concentrations... Read More »

$51,238 per year (in-state, full-time)

$56,814 per year (out-of-state, full-time)

Duke University (Fuqua)

Durham , NC

• # 10 in Business Analytics

$75,000 per year (full-time) TUITION AND FEES

787 ENROLLMENT (FULL-TIME)

The Fuqua School of Business at Duke University (Fuqua) offers these departments and concentrations: accounting... Read More »

$75,000 per year (full-time)

Santa Clara University (Leavey)

Santa Clara , CA

• # 11 in Business Analytics
• Unranked in Best Business Schools

0 ENROLLMENT (FULL-TIME)

The Leavey School of Business at Santa Clara University (Leavey) offers these departments and concentrations... Read More »

Harvard University

Allston , MA

• # 12 in Business Analytics
• # 6 in Best Business Schools

$74,910 per year (full-time) TUITION AND FEES

1,953 ENROLLMENT (FULL-TIME)

The Business School at Harvard University offers these departments and concentrations: accounting, business analytics... Read More »

$74,910 per year (full-time)

See all 50 Ranked Schools

Get the U.S. News Grad Schools School Compass and start finding the grad schools school that's right for you. You'll have access to expanded data including GMAT scores, financial aid information, graduate salary and employment statistics and more!

More Schools in this List (Alphabetical)

Arizona State University (W.P. Carey)

• in Business Analytics
• # 32 in Best Business Schools  (tie)

$29,376 per year (in-state, full-time) TUITION AND FEES

$51,290 per year (out-of-state, full-time) TUITION AND FEES

115 ENROLLMENT (FULL-TIME)

The W. P. Carey School of Business at Arizona State University (W.P. Carey) offers these departments and... Read More »

$29,376 per year (in-state, full-time)

$51,290 per year (out-of-state, full-time)

Boston College (Carroll)

Chestnut Hill , MA

• # 46 in Best Business Schools

$62,280 per year (full-time) TUITION AND FEES

161 ENROLLMENT (FULL-TIME)

The Carroll School of Management at Boston College (Carroll) offers these departments and concentrations: accounting... Read More »

$62,280 per year (full-time)

Cornell University (Johnson)

Ithaca , NY

• # 15 in Best Business Schools

$79,910 per year (full-time) TUITION AND FEES

577 ENROLLMENT (FULL-TIME)

The Samuel Curtis Johnson Graduate School of Management at Cornell University (Johnson) offers these departments and... Read More »

$79,910 per year (full-time)

Creighton University (Heider)

The Heider College of Business at Creighton University (Heider) offers these departments and concentrations... Read More »

Fairfield University (Dolan)

Fairfield , CT

N/A ENROLLMENT (FULL-TIME)

The Dolan School of Business at Fairfield University (Dolan) offers these departments and concentrations: accounting... Read More »

Fordham University (Gabelli)

• # 62 in Best Business Schools  (tie)

$120,784 total program (full-time) TUITION AND FEES

The Gabelli School of Business at Fordham University (Gabelli) offers these departments and concentrations: accounting... Read More »

$120,784 total program (full-time)

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Discover a focus and intensity greater than you may have thought possible. As a PhD student at Stanford Graduate School of Business, you will be inspired and challenged to explore novel ideas and complex questions.

Fall 2024 applications are now closed. Applications for Fall 2025 will be available in September 2024.

Become an Outstanding Scholar

Our PhD Program is designed to develop outstanding scholars for careers in research and teaching at leading academic institutions throughout the world. You will embark on a challenging and meaningful experience, focusing your academic study in one of seven distinct fields within the PhD degree program.

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Strong PhD candidates are full of ideas and curiosity, with a passion and aptitude for research. If you’re prepared to embark on a rigorous career in research and develop your full potential, we invite you to explore the possibilities of a PhD in business. Admitted students receive full fellowships for their doctoral studies.

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Material selection to improve sustainability in the apparel industry, chatgpt, md: how ai-empowered patients & doctors can take back control of american medicine, 2023 state of latino entrepreneurship, phd student voices, school news, stanford economist guido imbens wins nobel in economic sciences, susan athey named president of american economic association, teaching through a pandemic: students recognize two faculty members for their efforts, diversifying the pool of phd students will require systemic change.

Gain valuable research experience and training in a two-year, pre-doctoral opportunity at Stanford University.

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Business Analytics PhD Course Sequence

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Be Ready to Lead in a Data-Driven World.

Gain the expertise needed to solve business challenges with complex data through our comprehensive Master of Business Analytics (MBAn) Program. This STEM-certified program provides high-achieving students with a foundation in both data analytics and business management.

•   10-month, STEM-designated program for college graduates
•   Cross-functional electives, including specialties like fintech and biotech, taken alongside MBA students
•   Action-based learning curriculum, including a project sponsored by a real company

Launch your career in high-impact fields like data architecture, machine learning engineering, and business intelligence analytics with dedicated resources from our Career Development Office. 

Gain the skills needed to start your path to senior leadership through a thoughtful combination of data analytics and business courses taught by renowned faculty committed to the Michigan Ross action-based approach to learning. 

Get to know the diverse group of students who make up this year's Ross MBan class. 

Michigan Ross is defined by its strong sense of community. That means while you're here, you'll build relationships you can count on for years to come.

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U.S. News Ranks Fairfield Among Best in U.S. for Graduate Programs

Fairfield Dolan's Accounting, Business Analytics, Finance, and Marketing programs rank in the top 25 nationally . Accounting and Business Analytics programs rank #1 in CT, and Marketing and Finance are #2, behind Yale. Fairfield Egan jumps 15 spots to #58 among best nursing schools in the U.S. that offer master’s degrees.

Graduate programs in the Charles F. Dolan School of Business and the Marion Peckham Egan School of Nursing & Health Studies have once again risen in this year’s 2024 U.S. News Best Graduate School rankings.

Fairfield Dolan’s Accounting program rose 10 spots to #16 (T), once again in the Top 20 in the U.S. Fairfield Dolan’s Marketing program was also ranked in the Top 20 at #17 (T). Business Analytics (T) and Finance programs were both ranked #25 in the nation. Continuing the upward trend, Fairfield Dolan’s Part-Time MBA program rose 23 spots to #53 (T).

2024-2025 Best Graduate Business Specialty Programs:

• Accounting #16, nationally, tied with Arizona State (W.P. Carey) and Seattle (Albers)
• Marketing #17, nationally, tied with Dartmouth (Tuck), Indiana (Kelley) and St. Joseph (Haub)
• Business Analytics #25, nationally, tied with Northwestern (Kellogg), University of Texas at Dallas (Jindal), Scranton (Kania), and Rockhurst University (Helzberg)
• Finance #25, nationally

Among best nursing schools in the U.S. that offer master’s degrees, Fairfield Egan rose 15 spots to #58 (T) this year. The Egan School’s DNP program also rose 2 spots to #72.

2024 - 2025 Best Graduate Schools – Nursing:

• #58 (T) nationally, and #2 in Connecticut among schools with master’s programs, after Yale.
• #72 (T) nationally, and #3 in Connecticut among schools with DNP programs

For the 2024-2025 edition, U.S. News also reported additional specialty programs rankings — new survey-based rankings for twelve disciplines that are based solely on peer assessment. Fairfield Egan and the School of Education and Human Development received award-winning rankings in the following peer-reviewed disciplines:

• Nursing Anesthesia #29
• Nursing Midwifery #17
• Social Work #142 (T)

Ranking factors to determine Best Part-Time MBA include peer assessment, GMAT/GRE scores, average undergraduate GPA, work experience, part-time student total, and part-time student ratio.

U.S. News and World Report’s rankings of nursing master’s and DNP programs are based on factors including faculty resources, research activity, quality assessment, program size, and student selectivity.

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Saint Joseph’s Graduate Business Programs Ranked Among Nation’s Best by U.S. News & World Report

Programs on the list include the executive MBA, accounting MS and MBA programs in marketing, finance and business analytics.

Saint Joseph’s University continues to be a leader in graduate business education, having recently been ranked by U.S. News & World Report . The annual “Best Graduate Schools” ranking, released on April 9, 2024, is designed to help prospective graduate students navigate more than 2,000 top graduate programs across the country.

Five of the University’s graduate business programs were awarded top rankings: executive MBA (No. 17), marketing MBA (No. 17), accounting MS (No. 21), finance MBA (No. 26) and business analytics MBA (No. 30).

“These rankings underscore Haub as one of the most prestigious business schools in the country,” says Joseph DiAngelo Jr., BS ’70, EdD , dean of the Haub School of Business . “Our rigorous programs and best-in-class faculty prepare students to be leaders in their fields, sought after by employers around the globe.”

“Best Graduate Schools” rankings are based on program excellence, as well as the quality of the school’s faculty, research and students. U.S. News surveyed deans, program directors and senior faculty, as well as professionals who hire or work with new graduates.

These rankings add to the University’s consistently strong showing among other national lists, including U.S. News’s Best Online MBA Programs and Best Online Programs , as well as Fortune’s Best Online MBA Programs.

For more information on Saint Joseph’s graduate degree programs, visit sju.edu/academics/graduate .

Saint Joseph’s Day of Giving Sets the Bar High

On March 19, 2024, the Saint Joseph’s community will have the opportunity to make an immediate impact on the University through giving challenges that support SJU’s increasingly diverse portfolio of academic offerings and programs.

Saint Joseph’s Online Programs Ranked Among Nation’s Best by U.S. News & World Report

Programs on the list include the University’s MBA specialties in business analytics, finance, general management and marketing, as well as its master’s in criminal justice.

Saint Joseph’s to Celebrate Philadelphia College of Pharmacy Founders’ Day 2024

Saint Joseph’s Philadelphia College of Pharmacy, the nation’s first college of pharmacy, was founded in 1821.