The School of Computer Science and Engineering offers graduate programmes leading to the award of the degree of Master of Science (MSc) and each has a prescribed programme of study and involves a project dissertation. The MSc programmes are available on full-time and part-time basis. (*)
* For full-time students, the minimum period of candidature is one academic year and the maximum period is two academic years. For part-time students, the minimum period of candidature is two academic years and the maximum period is four academic years.
Master of Science in Artificial Intelligence
The Master of Science in Artificial Intelligence (MSAI) programme is created for students who wish to develop, design and implement AI systems and at the same time cultivate a deep understanding of AI for project management and policy making.
The programme emphasizes on AI theory, techniques and tools to solve real world problems with multiple types of constraints, e.g. problems with limited training data and big data problems. Equipped with both theoretical and activity-based learning, this will allow graduates to upgrade their competencies and skills.
A) A good honours degree in computer science, computer engineering or a related discipline with solid mathematical training
B) a good bachelor's degree in computer science, computer engineering or a related discipline with solid mathematical training and 2 years relevant industry experience
Minimum TOEFL score (Internet-based = 100, paper-based = 600, computer-based=250) or IELTS score (6.5) for graduates of universities in which English is not the medium of instruction.
Related disciplines include but not limited to bachelor's programmes offered by the College of Engineering, Nanyang Technological University, Singapore.
Admission Requirements & Application
|Application Period |
(1 October 2020 to 31 January 2021)
|Please click here to submit your application.|
|Submission of supporting documents||Complete set of supporting documents (must be legible) have to be uploaded via the fully digital application portal. Do not send hardcopy admission package unless requested. |
Note of the following for uploading of supporting documents:
• Supporting documents must be legible, sharp and clear
• Name the files in English
• Applicants are required to upload documents for each programme applied
|Pay Application Fee||Payment of application fee|
|Check Application/Result Status||Owing to the large number of applicants, we are unable to attend to phone or email enquiries on application status/results. You may check your application status* but only after you have received our acknowledgement receipt of your application via email.|
Applications are to be submitted electronically only. Late submissions would not be accepted and any other form of submission would not be processed.
Conditions of Admissions, please refer to the Graduate Guide
MSAI programme is an intensive one-year full-time (or 2-year part-time) programme by coursework. Students will be awarded the Master of Science in Artificial Intelligence after completion of study. The minimum and maximum periods of candidature for full-time candidates are 12 and 30 months respectively.
For part-time candidates, they are 24 and 48 months respectively. The programme consists of a total of 30 Academic Units (AUs), with 12 AUs stemming from core courses and 18 AUs from master project and elective courses, covering general AI techniques and techniques especially for image, video, IOT and time series data. Each course is 3 AUs and has 39 contact hours consisting of lectures, tutorials, example classes and labs over 13 weeks.
The master project of AI is a one-year project with 6 AUs. The master project is not a compulsory component. The bridging course, Python Programming, with zero AU is for students who have graduated from bachelor programmes with limited programming training and working adults who do not usually write codes. All students can take the bridging course in their first semester. It is not a compulsory course.
Top 5 Careers in Artificial Intelligence
- Machine Learning Engineer
- Data Scientist
- Business Intelligence Developer
- Research Scientist
- Big Data Engineer/Architect
We welcome international students, as they add to the richness and diversity of the intellectual culture. Our current graduate students come from outside Singapore, including China, India, Indonesia, Europe and other countries across the globe.
The Student Affairs Office’s website has a great deal of information for international students arriving into Singapore for the first time. As you prepare for your way to Singapore, you may wish to check out some of the useful and relevant information here.
The living costs you incur will depend on your lifestyle. The amount shown here is an estimate based on the feedback from current students and graduates.
|Item||Estimated Monthly Expenses|
|On-Campus graduate housing |
(varies with room type)
|$420 - $540|
|$450 - $630|
|Personal Expenses||$230 - $330|
|Transport for travel within Singapore||$150 - $250|
(NTU Campus is Wi-Fi enabled)
|$50 onwards |
(depending on usage/package subscriber)
|TOTAL||$1,200 - $1,500|
|NOTE: Textbooks and course materials||$200 - $500 per academic year|
Cashless payment is common in Singapore and includes payment by ATM cards, cashcards and credit cards, etc.
Goods and Services Tax
A Goods and Services Tax (GST) of 7% is levied on the import of goods, as well as nearly all supplies of goods and services in Singapore.
Information on Immigration matters including entry visas and medical examinations
Information on Health, Wellness and Insurance
Information on Accommodation
Meal options on Campus
Frequently Asked Questions
Is TOFEL/IELTS required for this programme?
Engineering Schools have standardised their TOEFL cut-off to 100 and IELTS cut-off to 6.5 to ensure that applicants have adequate English proficiency and consistent standards across coursework programmes.
Test dates must be within 2 years or less from the date of your application. GRE is not required for MSc programme (by coursework).
- Master (Coursework)
- College of Engineering
- School of Computer Science and Engineering
- Master of Science in Artificial Intelligence (MSAI)
- Graduate-Level Subjects
- PhD Programme in Cognitive Systems and Visual Computing
- PhD Programme in Big Data Analytics
- PhD Programme in Complex Systems
- SenseTime-NTU Talent Programme
- Salesforce-NTU Talent Programme
- Artificial Intelligence for University Educators in Asia Programme (TF–NTU AI Asia)
- Certificate in AI Ethics and Governance