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

PhD

Programme Type

Full-time, Part-time

The Future Begins Here. A research intensive institution powered by a strong R&D infrastructure and a networked global alliance, the School offers its students the prospects of pioneering next-generation research in a wide spectrum of technological areas.

The College of Computing and Data Science offers both full-time and part-time research programmes  that lead to the following degrees: 
 
  • Master of Engineering (MEng) 
  • Doctor of Philosophy (PhD) 
  • SIMTech-NTU Joint Laboratory on Complex Systems PhD Programme *jointly offered with SIMTech Joint Laboratory
  • EDB-Industrial Post-graduate Programme (IPP)
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 

Admissions Eligibility

Applicants must have Bachelor's degree with minimum Honours (Distinction) and its equivalent and the ability to pursue research in the candidate's proposed field of advanced study.

Required Test Score

A valid GRE/GMAT score is required for applicants who are not graduates of the Autonomous Universities in Singapore. Test dates must be within 5 years or less from the date of your application. Requests for GRE waivers may be considered for exceptional cases.

Applicants 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. 

For applicants whose native language is not English, a good TOEFL score is required. Test dates must be within 2 years or less from the date of your application. IELTS may be submitted in place of TOEFL. The TOEFL/IELTS requirement may be waived if the applicant can submit documentary proof that English was used as the medium of instruction during undergraduate studies.

To find out more on admission requirements, click here

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, AY2023-2024 (STARTING FROM 15 JAN 2024)

 Course Day Time Venue Lecturer Exam Date 
CE7404
Virtual Reality   
 
Thursday 
(18 Jan 2024) 
1.30pm-
4.30pm
 LT11Assoc Prof Alexei  
Sourin  
No formal
exam  
CE6121 
Human Computer Interaction  
Theory and Practice 
 
Friday 
(19 Jan 2024) 
 
6.30pm- 
9.30pm 
 LT15Dr Owen Noel
Newton 
Fernando
 
No formal
exam  
 
CE7412  
Computational and Systems Biology 
 
Thursday 
(18 Jan 2024) 
 
Thursday 
(18 Jan 2024) 
 
 
10.30am- 
11.30am 
 
3.30pm- 
5.30pm 
Consultation 
(N4-02A-06)
 
LT14 
 
 
Prof Jagath Rajapakse  
 
No formal
exam 
CE7426 
Advanced Topic in
Convex Optimization 
Tuesday 
(16 Jan 2024) 
2.30pm- 
5.30pm 
 LT16Assoc Prof Luo Jun 2 May 2024 (AM) 
CE7453 
Numerical Algorithms 
 
Monday 
(15 Jan 2024) 
2.30pm- 
5.30pm 
 LT9Prof Zheng Jianmin 30 April 2024 (PM)
CE7455 
Deep Learning for  
Natural Language Processing  
 
Wednesday 
(17 Jan 2024) 
 
2.30pm- 
5.30pm 
 LT14Dr Wang Wenya/ 
Asst Prof Luu Anh
Tuan+ 
No formal
exam 

 

TIMETABLE FOR SEMESTER 1, AY2023-2024 (STARTING FROM 14 AUG 2023)

13 weeks: 14 Aug – 17 Nov 2023 | Recess: 2 Oct – 6 Oct | Examination: 20 Nov-8 Dec 2023 

CourseDayTimeVenueLecturer Exam Date
CE6127
Artificial Intelligence in Game Design 
Monday
9.30am-12.30pmLT12Prof Seah Hock Soon
 
 
No formal exam
CE6190
Special Topic-Recent Advance on Image Segmentation and Its Applications
Friday
6.30pm-9.30pmLT12Asst Prof Lin Guosheng
 
 
No formal exam
CE7429
Computational Intelligence: Methods & Applications
 
Tuesday

 
Friday
10.30am-11.30am
 
 
10.30am-12.30am
LT15
 
 
 
LT3
 
Assoc Prof Quek Hiok Chai 
Formal Exam
Exam Date:   
4 Dec 2023, 9am
CE7490
Advanced Topics in Distributed Systems
Tuesday
2.30pm-5.30pmLT3Assoc Prof Tang Xueyan+/
Assoc Prof Anwitaman Datta
 
No formal exam
CE7491
Special Advanced Topic- Digital Image Processing
 
Wednesday

Monday
(Lab)
2.30pm-4.30pm
 
12.30pm – 2.30pm
LT12
 
 
Lab Online
Assoc Prof Cham Tat Jen+/ Assoc Prof Chen Change Loy
 
No formal exam
CE7454
Deep Learning for Data Science
Thursday

4.30pm – 7.30pmLT12
 
Assoc Prof Li Boyang /
Asst Prof Liu Ziwei+
No formal exam

 

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