The College of Computing and Data Science (CCDS) at NTU offers a world-class research environment supported by strong R&D infrastructure and an extensive global network of academic and industry partners. As a research-intensive institution, NTU provides graduate students with opportunities to pioneer next-generation discoveries across a wide spectrum of technological areas.
Students may pursue full-time or part-time research programmes leading to advanced degrees, including:
- Master of Engineering (MEng)
- Doctor of Philosophy (PhD)
- EDB-Industrial Postgraduate Programme (IPP)
- NTU–Kunlun IPP: Explore cutting-edge research in language models, multimodal technologies, music/speech processing, video, and 3D modeling.
Visit the website to find out more.
These programmes are designed for graduates who aspire to contribute to the frontiers of computing and data science research, shaping innovations that impact industries, societies, and economies worldwide.
- Artificial Intelligence
- Data Science
- Cyber Security
- Hardware & Computer Architecture
- Custom Computing
- Cyber Physical Systems
- Software Engineering
- Database & Information Systems
- Bioinformatics
- Multimedia
- Social Media
- Visual & Interactive Computing
- Modeling & Simulation
- Parallel and Distributed Computing
- Cloud Computing
- Computer Networks
We encourage graduates with strong academic potential and passion for research to apply for NTU’s postgraduate research programmes. To support a comprehensive, evidence-based assessment, applicants shall provide evidence of strong academic foundations, including technical and English proficiency, relevant research experience, motivation to pursue graduate studies, and their personal character by submitting the following:
- Bachelor’s Degree: A strong Bachelor’s degree with minimum Honours (Distinction) and its equivalent.
- English Proficiency: A good TOEFL/IELTS1 score for applicants whose Bachelor’s degree is not conducted in English.
- Research Proposal: A well-crafted research proposal that demonstrates the applicant’s research potential and motivation.
- Resume: A resume that highlights personal and academic achievements, prior research experience and skills, leadership and character.
- Academic References: Academic referee reports4 that provide insights into the applicant’s potential and character.
Demonstrating strong quantitative, verbal, or analytical skills through GRE2/GATE3 test scores will greatly enhance your chances of admission.
Please refer to the admission requirements of the respective programme.
1TOEFL/IELTS test dates must be within 2 years or less from the date of your application.
2GRE test dates must be within 5 years or less from the date of your application.
3Applicants from India may use the Graduate Aptitude Test in Engineering (GATE) score of at least 90th percentile in place of GRE. Test date must be within 3 years or less from the date of your application.
4At least one nominated referee must be an academic staff or faculty member (e.g. from your previous university).
Students in a graduate research programme pursue independent but supervised research in an approved topic.
During their studies, students are required to perform sufficiently well on multiple courses related to graduate-level academic subjects and communication skills. They will also have to undergo a Qualifying Examination/Confirmation Exercise within a stipulated period. Near the completion of their studies, candidates will have to submit a thesis for examination. In addition, Ph.D candidates must also undertake an oral examination on the subject matter of their thesis.
The School offers the following programmes on a part-time and full-time basis:
| Programmes (By Research) | Full-time | Part-time | ||
|---|---|---|---|---|
| Minimum | Maximum | Minimum | Maximum | |
| Master of Engineering (M.Eng) | 1 year | 3 years | 1 year | 3 years |
| Doctor of Philosophy (Ph.D) | 2 years | 5 years | 3 years | 5 years |
The NTU Academic Structure Handbook for Graduate Studies for AY2023-24 may be found here
TIMETABLE FOR SEMESTER 2, AY2025-2026 (STARTING FROM 12 JAN 2026)
| Course | Day | Time | Venue | Lecturer | Exam Date |
|---|---|---|---|---|---|
| CE6127 Artificial Intelligence in Game Design | Monday | 9.30am - 12.30pm | LT12 | Prof Seah Hock Soon / Asst Prof Evan Pu+ | No formal exam |
| CE6121 Human Computer Interaction Theory and Practice | Friday | 6.30pm- 9.30pm | LT14 | Dr Owen Noel Newton Fernando (wk1-7)/ Samantha Chan+ (wk8-13) | No formal exam |
| CE7404 Virtual Reality | Thursday | 1.30pm- 4.30pm | LT9 | Assoc Prof Alexei Sourin | No formal exam |
| CE7412 Computational and Systems Biology | Tuesday | 2.30pm - 5.30pm | LT11 | Prof Jagath Rajapakse | No formal exam |
| CE7453 Numerical Algorithms | Monday | 2.30pm- 5.30pm | LT3 | Prof Zheng Jianmin | 30 April 2026, 9am-12pm |
| CE7455 Deep Learning for Natural Language Processing | Wednesday | 2.30pm- 5.30pm | TCT-LT | Dr Wang Wenya/ Asst Prof Luu Anh Tuan+ | No formal exam |
| CE7456 Special Topic: Theoretical Foundations of Database Problems | Friday | 2.00pm- 5.00pm | LT9 | Prof Yufei Tao | No formal exam |
TIMETABLE FOR SEMESTER 1, AY2025-2026 (STARTING FROM 11 AUG 2025)
| Course | Day | Time | Venue | Lecturer | Exam |
|---|---|---|---|---|---|
| CE6190 Special Topic- Recent Advance on Visual Understanding and Generation | Friday | 6.30pm-9.30pm | TCT-LT | Assoc Prof Lin Guosheng+/ Asst Prof Pan Xinggang | No formal exam |
| CE7429 Computational Intelligence: Methods & Applications | Tuesday Friday | 10.30am-11.30am 10.30am-12.30am | LT7 LT12 | Assoc Prof Quek Hiok Chai | 25 November 2025, 9am |
| CE7490 Advanced Topics in Distributed Systems | Tuesday | 2.30pm-5.30pm | LT18 | Assoc Prof Tang Xueyan | No formal exam |
| CE7491 Special Advanced Topic- Digital Image Processing | Wednesday Monday (Lab) | 2.30pm-4.30pm 12.30pm – 2.30pm | LHN-LT Lab Online | Prof Cham Tat Jen+/ Prof Chen Change Loy | No formal exam |
| CE7454 Deep Learning for Data Science | Thursday | 4.30pm – 7.30pm | LT18 | Assoc Prof Li Boyang, Albert / Asst Prof Liu Ziwei+ | No formal exam |
| CE7426 Advanced Topic in Convex Optimization | Monday | 2.30pm- 5.30pm | LT18 | Assoc Prof Luo Jun | No formal exam |