cornell phd in computer science

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Ph.D. Program

The Ph.D. Degree Program in the School of Electrical and Computer Engineering at Cornell will prepare you for a successful career in research, development and teaching through vigorous coursework and cutting-edge study.

Join our world-renowned faculty as they work to find solutions to some of today’s biggest problems. Whether you’re interested in power and energy, bioelectrical engineering, computer architecture, imaging, nanotechnology, photonics, neuroscience, or computing, you’ll find your place at Cornell ECE.  

Our Ph.D. Program is interdisciplinary, which allows our students to take advantage of a wide variety of research opportunities both in ECE and across campus.  

• Take advantage of the wide range of research opportunities on campus through our multidisciplinary program and study anything from physics to bioscience, from mathematics to economics.
• Enjoy the flexibility of determining your individualized curriculum in consultation with your Advisor and Special Committee.  
• Receive advanced training in current technology and engineering design.  
• Virtually all of our Ph.D. students receive full financial support in the form of Fellowships, Graduate Research Assistantships and Teaching Assistantships during throughout their Ph.D. Program.
• The financial support covers tuition, a stipend and a health insurance package.  
• A Ph.D. from Cornell ECE will empower you to reach your goals and your potential. Our graduates go on to highly successful careers at universities and colleges and in industry and research settings around the world.  
• Discover more about our faculty and their research.
• For further questions about ECE's Ph.D. program, please contact the Assistant Director, ECE Masters of Engineering and Ph.D. Programs.  

ECE Contacts for Ph.D. Students 

Director of graduate studies.

Khurram Afridi , Associate Professor [email protected]

Assistant Director of Graduate Studies

Eric Laine Phillips Hall, Room 223 [email protected]

/images/cornell/logo35pt_cornell_white.svg" alt="cornell phd in computer science"> Cornell University --> Graduate School

Computer science m.eng. (ithaca), field of study.

Computer Science

Program Description

The Field of Computer Science is intended for students who are primarily interested in the general aspects of computational processes, both theoretical and practical. Areas of research in the field include algorithms, architecture, artificial intelligence, computer vision, computational biology, concurrency and distributed computing, database systems, machine learning, machine vision, natural language processing, networks, numerical analysis, programming environments, programming languages and methodology, robotics, and theory of computation. Research facilities: The department makes use of a mix of computing platforms, with about three-quarters of our research and instructional computing taking place on Microsoft's Windows operating systems and Intel Architecture processors and the remaining quarter on Red Hat Linux desktop and Red Hat Linux and Sun Solaris back-end servers. The department has more than1,200 computers ranging from desktops to high-end parallel processing servers, more than 15 terabytes of online disk storage, and a backbone network based on switched Gigabit Ethernet. In addition to the resources directly owned and operated by the department, computer science students and researchers have access to a number of university facilities. The university provides extensive campus-wide networking, including RedRover, an 802.11b wireless campus network. National and international access is provided by three OC3 connections to the global Internet. High-speed community access is available through Time-Warner's RoadRunner cable modem system and several DSL providers. Finally, through the Cornell Theory Center and the Program in Computer Graphics, computer science researchers have access to a wide range of advanced parallel processing and supercomputer systems, as well as advanced graphics and visualization systems.

Contact Information

110D Gates Hall Cornell University Ithaca, NY  14853

Concentrations by Subject

• artificial intelligence
• computer science
• programming languages and logics
• scientific computing and applications
• theory of computation

Visit the Graduate School's Tuition Rates page.

Application Requirements and Deadlines

Fall: Feb. 1; Spring: Oct. 1

Requirements Summary:

To permit immediate enrollment in graduate-level courses, applicants are expected to have an appropriate background in the major subject chosen. Please visit our Web site for more information on the field.

The M.Eng. in Computer Science is offered in two sites-Cornell's main campus in Ithaca and the Cornell NYC Tech campus in New York City. Students are admitted to the program at a specific campus and take all courses at that location.

For more information on the M.Eng. program in Ithaca, please vis it http://www.cs.cornell.edu/grad/MEngProgram/MEngAdmissions/index.htm .

For information on the M.Eng. program in New York City, please visit: http://blogs.cornell.edu/tech

• all Graduate School Requirements
• including the  English Language Proficiency Requirement for all  Applicants
• M.Eng. - for general questions regarding the M.Eng. application, email [email protected] or see the Admissions home page Admissions home page . For specific questions related to the program in New York City, email [email protected] .

Learning Outcomes

• Mastery and Application of Core Disciplinary Knowledge
• Problem Formulation, Organization, and Planning of the Solution Process
• Collaborative Problem Solving and Issue Resolution
• Communication of Knowledge, Ideas, and Decision Justification
• Self-directed Learning and Professional Development

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Master of Engineering Program

You are here.

Please use email to contact the Computer Science Master of Engineering Program:

• For general program inquiries :  [email protected]
• For questions pertaining to applying and the admissions process : meng- [email protected]   

The Master of Engineering (M.Eng.) program in Computer Science is a two-semester professional degree program designed to enhance practical skills. It roughly involves six courses and a project.

Flexible requirements make it possible to realize a broad range of CS-related career possibilities.  The program is energized by the diversity of research within the department and across the campus. If you majored in CS or a related field as an undergraduate, then the program can be used to deepen your technical expertise. The program also works for those students who "minored" in CS and who wish to push the computing envelope in their undergraduate field of study, e.g., chemistry, civil engineering, sociology, etc. Students with entrepreneurial ambitions can take specially designed courses from the Johnson Graduate School of Management. They can also develop projects that respond to IT needs that surface all over campus. Students who have limited or no formal CS coursework should review our pre-requisite information available here  and make sure they have met those requirements before applying.

Application deadlines are February 1 for fall admissions and October 1 for spring admissions. 

New Diversity Scholarship for CS M.Eng applicants established: Click for more information. 

Cornell Tech in New York City also offers a Master of Engineering Program in Computer Science. The program incorporates both technical and business classes and focuses on entrepreneurial thinking.  For more information on the programs offered at Cornell Tech and the admission process, please visit tech.cornell.edu . 

The Department of Computer Science also offers a  small two-year Master of Science Program. If you are interested in a Research Master's degree, please visit the informational pages on the MS in CS.

• Jacobs Technion-Cornell Dual MS Degrees – Connective Media Concentration
• Jacobs Technion-Cornell Dual MS Degrees – Health Tech Concentration
• Jacobs Technion-Cornell Dual MS Degrees – Urban Tech Concentration
• Johnson Cornell Tech MBA
• Master of Engineering in Computer Science
• Master of Engineering in Computer Science (Part Time)
• Master of Engineering in Electrical and Computer Engineering
• Master of Engineering in Operations Research and Information Engineering
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• Master of Science in Design Technology
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2 West Loop Road, New York, NY 10044

• Human-Centered Computing
• Research Labs & Initiatives
• Artificial Intelligence
• Business & Entrepreneurship
• Data & Modeling
• Law & Policy
• Security & Privacy
• Technology, Society, & Ethics

Our research in human-centered computing strives to create ethical and accessible computing systems that positively impact society. Our researchers include top-ranked experts in health tech, privacy, human-computer interaction (HCI), social computing, and mixed reality. All are committed to designing, building, and evaluating systems that promote equity and improve quality of life for marginalized populations.

Research areas.

Accessibility

• Shiri Azenkot  Information Science Field Member, Cornell CIS
• Mor Naaman  Information Science and Computer Science Field Member, Cornell CIS

Health Technology

• Tanzeem Choudhury  Information Science Field Member, Cornell CIS
• Nicola Dell  Information Science and Computer Science Field Member, Cornell CIS
• Deborah Estrin , Computer Science and Information Science Field Member, Cornell CIS
• Rajalakshmi Nandakumar  Information Science and Computer Science Field Member, Cornell CIS

Information Communication Technology for Development (ICTD)

• Tapan Parikh  Information Science and Computer Science Field Member, Cornell CIS
• Mor Namaan  Information Science and Computer Science Field Member, Cornell CIS

Computer-Supported Cooperative Work (CSCW)

• Nicola Dell  Information Science and Computer Science Field Member, Cornell CIS
• Deborah Estrin  Computer Science and Information Science Field Member, Cornell CIS
• Tapan Parikh , Information Science and Computer Science Field Member, Cornell CIS

Social Computing

• Tanzeem Choudhury , Information Science and Computer Science Field Member, Cornell CIS
• Mor Naaman , Information Science and Computer Science Field Member, Cornell CIS

Labs & Initiatives

• Clinic to End Tech Abuse (CETA)
• Connected Experiences Lab (CX)
• Digital Life Initiative (DLI)  
• People-Aware Computing Lab
• XR Collaboratory (XRC)

Shiri Azenkot

Associate Professor

Shiri Azenkot is an Associate Professor at the Jacobs Technion-Cornell Institute at Cornell Tech and the Technion. She is a member of the Information Science field at Cornell University.

Research focus:  Human-computer interaction and accessibility

Google Scholar

Tanzeem Choudhury

Roger and Joelle Burnell Professor in Integrated Health and Technology

Tanzeem Choudhury is a professor at the Jacobs Technion-Cornell Institute at Cornell Tech in Information Sciences and a co-founder of HealthRhythms Inc. She currently serves as the Program Director for Jacobs Technion-Cornell Dual Master of Science Degrees with a Concentration in Health Tech.

Research focus:  Develops mobile sensing systems for capturing, learning, and interpreting people’s context, activities and social networks

Nicola Dell

Nicola Dell is an Associate Professor at the Jacobs Technion-Cornell Institute at Cornell Tech and in the Information Science Department at Cornell University.

Research focus:  Designing, building, and evaluating novel computing systems that improve the lives of underserved populations in low-income regions

Deborah Estrin

Associate Dean and Robert V. Tishman ’37 Professor

Deborah Estrin is the Robert V. Tishman ’37 Professor at Cornell Tech and in the Computer Science Department at Cornell University, and currently serves as an Associate Dean at Cornell Tech.

Research focus:  Mobile systems and applications, including: mobile health, personal informatics, and privacy

Wendy Ju is an Associate Professor at the Jacobs Technion-Cornell Institute at Cornell Tech and the Technion. She is a member of the Information Science field at Cornell University.

Research focus:  Interaction design research

Associate Dean for Faculty Affairs and Don and Mibs Follett Professor

Mor Naaman is a Professor at the Jacobs Technion-Cornell Institute at Cornell Tech and in the Information Science Department at Cornell University, and currently serves as an Associate Dean for Faculty Affairs (ADFA).

Research focus:  Social technologies

Rajalakshmi Nandakumar

Assistant Professor

Rajalakshmi Nandakumar is an Assistant Professor at the Jacobs Technion-Cornell Institute at Cornell Tech and in the Information Science department at Cornell University.

Research focus:  Developing wireless sensing technologies that enable novel applications in various domains including mobile health, user interfaces and IoT networks

Tapan Parikh

Tapan Parikh is an Associate Professor at Cornell Tech and in the Information Science Department at Cornell University.

Research focus:  HCI and the design and evaluation of information technologies for education, governance and international development

Alexander Rush

Alexander “Sasha” Rush is an Associate Professor at Cornell Tech, where he studies natural language processing and machine learning.

Research focus:  Deep learning text generation, generative modeling, and structured prediction

Research Highlight: Nicola Dell on Technology Design for Marginalized Communities

Assistant Professor Nicola Dell’s research interests are in information and communication technologies for development (ICTD), human-computer interaction (HCI) and mobile computing.

Built at Cornell Tech

Healthrhythms.

By seamlessly gathering data about everyday behaviors and routines, HealthRhythms provides a more comprehensive and clinically grounded understanding of mental wellbeing. Their solution leverages deep machine learning and predictive analytics to create novel health assessments and just-in-time personalized interventions that improve the care delivery experience for patients and providers. The company is working with health systems, payers, clinical researchers, as well as pharmaceutical to add the layer of mental health to all of healthcare.

More Built at Cornell Tech →

In partnership with the NYC Mayor’s Office to End Domestic and Gender-Based Violence, NYC Hope is a web portal for survivors of intimate partner violence. The project was a collaboration between New York City and Cornell Tech faculty and students.

Traditional speech therapy is a growing industry but there remains a considerable nationwide deficit of speech pathologists. Furthermore, speech therapy is oftentimes cost-prohibitive for many kids who grow up with a speech impediment or a speech-related disorder.

Speech Up is an accessible, affordable, and enjoyable speech therapy app that provides real-time user feedback and personalized self-paced learning for kids.

Institutional Partners

• Jacobs Technion-Cornell Institute
• Technion – Israel Institute of Technology
• Verizon Media Group

Technology, Society, & Ethics Research Group

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