Computer Science
Graduates of the CUNY Graduate Center's Ph.D. program in Computer Science become masters of the computer science discipline and obtain in-depth knowledge of a specialized area.
Request InformationDegree Offered
Ph.D. in Computer Science
Full-time
Admissions Deadlines
January 15 for fall enrollment
(No spring enrollment)
CUNY Graduate Center Ph.D. Program in Computer Science prepares selected students for leadership positions in research and development careers in computer science and information technology industry, as well as for research and teaching positions in academia institutions. Our Ph.D. candidates master the computer science discipline in its broadest sense, in the same time obtain in depth knowledge of a specialized area and perform independent innovative research in cutting edge fields.
We have over 100 participating faculty members, most of whom are globally recognized scholars.
Learn more about our curriculum and degree information.
STUDENTS
Doctoral students in Computer Science join the program with a record of exceptional work in Computer Science, Mathematics, or related sciences. Throughout their tenure at the Graduate Center, students will conduct their own original research that is publishable in archival peer reviewed journals and conferences, teach at one of the CUNY colleges, and complete their dissertation.
Learn more about admissions and aid and hear from some of our alums.
Research Areas
Our research areas include: Algorithms, Artificial Intelligence, Communication Networks and Computer Systems, Computational Biology, Computational Science and Modeling, Computer and Network Security, Data Science, Logic, Machine Learning, Natural Language Processing, Signal/Image Processing, and Theory.
Our program is also closely tied with the M.S. program in Data Science.
Why NYC?
New York City is one of the nation's leading high-tech hubs, offering a wide range of research, business, and teaching opportunities. Since the Computer Science program works as a consortium, with most seminars, lectures, and colloquia held at the Graduate Center in midtown Manhattan and many lab-oriented courses held at CUNY's senior colleges spread out amongst the five boroughs, students become familiar with the city and all it has to offer.
Professor Anita Raja and team win NIH Data Challenge
Professor Anita Raja and a team of researchers from Hunter College and Columbia University were named one of the institutional winners of the National Institutes of Health’s Decoding Maternal Morbidity Challenge.
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Science Alumni Spotlight: Yuqing Tang
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Computer Science Spotlights
Our Sciences Spotlight series profiles students, faculty, and alumni associated with GC Sciences programs. Learn about our community:
Student: Abdul Rafae Khan
Abdul Rafae's research topic is improving the machine translation quality on the informal text (commonly used in social media and text messages).
Faculty: Susan L. Epstein
Professor Susan L. Epstein works in artificial intelligence (AI), in particular in knowledge representation (how to describe the world to a machine) and machine learning (how a machine can be transformed by its experience).
Alumni: Yuqing Tang
Today, Yuqing Tang is senior director/researcher at XPeng Motors XLab, a Shenzhen-based lab of researchers and engineers taking on ambitious projects to reshape human-robot systems.
FYI
More Like ThisDissertation Proposal: Xuan Wong
Date: Wednesday, January 11, 2023
Time: 1:00 p.m. - 3:00 p.m.
Location: online (Zoom)
Thesis: MultiCLU: A General Framework for Multi-Stage Context Learning and Utilization
Zoom meeting details:
Meeting ID: 844 7580 5100
Passcode: 139509
- Announcement
Second Exam: Yudan Li
Date: Wednesday, December 14th, 2022
Time: 1:00 p.m. - 3:00 p.m.
Location: online (Zoom)
Thesis: Reinforcement Learning and its Applications
Zoom meeting details:
Meeting ID: 876 1394 2415
Passcode: 059600
- Announcement
Dissertation Defense: Xiaojie Zhang
Date: Thursday, December 2nd, 2022
Time: 2:30 pm. - 4:30 p.m.
Location: Hybrid - Room 4421 with online (Zoom)
Thesis: Resource Management in Mobile Edge Computing for Compute-Intensive Application
Zoom meeting details:
Meeting ID: 835 4308 3061
Passcode: 606257
- Announcement
Second Exam: Xueqi Huang
Date: Thursday, December 8th, 2022
Time: 9:30 a.m. - 11:30 a.m.
Location: online (Zoom)
Thesis: Visual Query System for Real-Time Large-Scale Spatio-Temporal Data Explorations: A Survey
Zoom meeting details:
Meeting ID: 841 3464 2264
Passcode: 140541
- Announcement
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