Master of Engineering (by Research) | Computer Science and Engineering

PhD

Programme Type

Full-time, Part-time

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. 

For over two decades, CCDS has paved the way for many exceptional engineers, arming each with the relevant tools to redefine the way we live. 
 
At CCDS, we are committed to inspire as well as generate new thought. We also understand the importance of staying relevant and in-tune with the times. More importantly, we believe in nurturing and inspiring our graduate students to excel in research. 
 
The areas for graduate studies, by research, include: 
 
  • 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:  

  1. Bachelor’s Degree: A strong Bachelor’s degree with minimum Honours (Distinction) and its equivalent.
  2. English Proficiency: A good TOEFL/IELTS1 score for applicants whose Bachelor’s degree is not conducted in English.
  3. Research Proposal: A well-crafted research proposal that demonstrates the applicant’s research potential and motivation.
  4. Resume: A resume that highlights personal and academic achievements, prior research experience and skills, leadership and character.
  5. 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-timePart-time
MinimumMaximumMinimumMaximum
Master of Engineering (M.Eng)1 year3 years1 year3 years
Doctor of Philosophy (Ph.D)2 years5 years3 years5 years

The NTU Academic Structure Handbook for Graduate Studies for AY2023-24 may be found here

View Courses Offered Details Here

TIMETABLE FOR SEMESTER 2, AY2025-2026 (STARTING FROM 12 JAN 2026)

CourseDayTimeVenueLecturerExam Date
CE6127
Artificial Intelligence in Game Design 
Monday9.30am - 12.30pmLT12
Prof Seah Hock Soon / Asst Prof Evan Pu+

No formal exam
CE6121
Human Computer Interaction
Theory and Practice
 
Friday
 
 
6.30pm-
9.30pm
LT14Dr Owen Noel Newton
Fernando (wk1-7)/ Samantha Chan+ (wk8-13)
No formal exam
 
CE7404
Virtual Reality
 
 
 
Thursday

 
1.30pm-
4.30pm
LT9Assoc 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
LT9Prof Zheng Jianmin

30 April 2026,

9am-12pm
(3hours exam)

CE7455
Deep Learning for
Natural Language Processing
 
Wednesday

2.30pm-
5.30pm
TCT-LTDr Wang Wenya/
Asst Prof Luu Anh Tuan+
No formal exam
CE7456
Special Topic: Theoretical Foundations of Database Problems
Friday2.00pm-
5.00pm
LT9Prof Yufei TaoNo 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

 


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