OVERVIEW
The Master of Computing programme is a comprehensive and challenging graduate programme with area specialisations. It encompasses the latest research findings, both applied and fundamental. The programme also provides advanced and in-depth knowledge of Information Technology (IT) to prepare the students for the challenges of an IT career.
The National University of Singapore (NUS) Master of Computing – Artificial Intelligence (MComp AI) specialisation trains computing professionals in advanced principles, algorithms, and applications in AI. It focuses on the computational fundamentals and principles that underlie intelligent systems (knowledge representations, machine learning, and reasoning), as well as state-of-the-art technologies in major AI application domains (vision, speech & language processing, data analytics, and robotics).
ADMISSION REQUIREMENTS
Admission to the NUS MComp AI programme is granted on a competitive basis as places in the programme are limited. Applicants should possess the following minimum requirements:
| Academic |
- Bachelor's Degree (preferably with Honours) in Computing, or
- Bachelor's Degree with Honours in a related discipline, or
- Bachelor's Degree (preferably with Honours) in a business-related discipline
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| Skill/Experience |
For holders of undergraduate qualifications other than a Bachelor's Degree with Honours in Computing, (see above), two years of information technology (IT) industry experience.
|
English Language
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Applicants whose medium of university instruction is not completely in English:
- Test of English as a Foreign Language (TOEFL) minimum score of 90 (Internet-based), or
- International English Language Testing System (IELTS) minimum Academic score of 6.0.
Note: TOEFL / IELTS scores are valid for two years from the test date and should not have expired at point of application. Expired scores will not be considered for the application.
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Other
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International applicants:
- Graduate Record Examinations (GRE) minimum scores of 320 (Verbal Reasoning and Quantitative Reasoning) and 3.5 (Analytical Writing), or
- Graduate Management Admission Test (GMAT) minimum score of 650, or
- Graduate Aptitude Test in Engineering (GATE) scores for graduates from Indian universities.
Candidates may be required to sit for other tests as prescribed by the School.
Note: GRE scores are valid for five years from the test date and should not have expired at point of application. Expired scores will not be considered for the application.
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MODE OF STUDY AND PROGRAMME CANDIDATURE
The NUS MComp programme is offered on the following basis (with estimated time to complete the programme indicated below):
| Full-time |
18 months |
| Part-time |
30 months |
Note: International applicants must be accepted into an approved full-time course in Singapore to apply for a Student’s Pass. For more information, refer to the Singapore Immigration & Checkpoints Authority (ICA) website.
PROGRAMME STRUCTURE
The NUS MComp AI is a 40-modular credit (MC) coursework-based Master’s Degree programme that offers two pathways to complete the programme:
- Coursework Option, which comprises:
- Specialisation modules (20 MCs), inclusive of AI core/essential modules (12 MCs) and AI elective modules (8 MCs), and
- Non-specialisation modules (20 MCs), which may include AI elective modules and/or level 4000 to 6000 modules offered by the School of Computing.
Note: Of the modules required above, a maximum of two may be Level 4000.
|
- Dissertation Option, which comprises:
- Dissertation (16 MCs),
- Specialisation modules (12 MCs), comprising AI core/essential modules, and
- Non-specialisation modules (12 MCs), which may include AI elective modules and/or level 4000 to 6000 modules offered by the School of Computing.
Note: Of the modules required above, a maximum of two level 4000 and two level 5000 or above may be from other faculties.
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Note: Most level 5000 modules are conducted in the evenings.
View Modules
AI Core/Essential Modules
|
Module Code
|
Module Title
|
MCs |
| CS5446 |
AI Planning and Decision Making |
4 |
CS5340
|
Uncertainty Modelling in AI
|
4 |
Choose one:
|
CS5339
|
Theory and Algorithms for Machine Learning
|
4 |
CS5242
|
Neural Networks and Deep Learning
|
4 |
IS5152
|
Data-Driven Decision Making
|
4 |
AI Elective Modules
|
Module Code
|
Module Title
|
MCs |
CS4243
|
Computer Vision and Pattern Recognition
|
4 |
| CS4244 |
Knowledge Representation and Reasoning
|
4 |
CS4248
|
Natural Language Processing
|
4 |
CS5215
|
Constraint Programming
|
4 |
CS5228
|
Knowledge Discovery and Data Mining
|
4 |
CS5242
|
Neural Networks and Deep Learning
|
4 |
CS5246
|
Text Mining |
4 |
CS5260
|
Neural Networks and Deep Learning II
|
4 |
CS5469
|
Fundamentals of Logic in Computer Science
|
4 |
CS5477
|
3D Computer Vision
|
4 |
CS5478
|
Intelligent Robots: Algorithms and Systems |
4 |
CS5339
|
Theory and Algorithms for Machine Learning
|
4 |
| CS5461 |
Algorithmic Mechanism Design |
4 |
CS6207
|
Advanced Natural Language Processing
|
4 |
| CS6208 |
Advanced Topics in Artificial Intelligence |
4 |
CS6216
|
Advanced Topics in Machine Learning
|
4 |
| CS6244 |
Robot Motion Planning & Control |
4 |
| IS5152 |
Data-Driven Decision Making |
4 |
| IS5006 |
Intelligent System Deployment |
4 |
| IS4242 |
Intelligent Systems - Tools, Techniques, and Applications |
4 |
| BT4014 |
Analytics Driven Design of Adaptive Systems |
4 |
| BT4240 |
Machine Learning for Predictive Data Analytics |
4 |
Note: Modules that are in the core/essential and elective AI lists can be counted as either part of the core/essential or elective requirement, but not both. For more information about the modules listed above (as well as other modules offered in the current academic year), please visit the School of Computing Course Catalogue or NUSMODS.
GRADUATION REQUIREMENTS
To graduate from the NUS MComp AI programme, students must meet the following requirements:
| Programme and/or Specialisation |
Read and pass a total of 40 MCs.
|
| Module and/or Qualification |
Refer to the respective Option in the Programme Structure above.
|
| Cumulative Average Point (CAP) |
Minimum 3.0 (out of maximum 5.0)
Please see also the University’s minimum standards for Continuation and Graduation Requirements; specific programmes may implement stricter or additional requirements.
|
| Other |
Not applicable
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FEES AND FINANCIAL ASSISTANCE
Kindly note that all fees for the NUS MComp AI programme quoted on this page are exclusive of prevailing GST, unless otherwise stated. The University reserves all rights to review fees as necessary and adjust accordingly without prior notice.
|
Tuition
|
S$50,000.00
(excluding GST) /
S$53,500.00 (including GST)
Note: The tuition fee stated above is for 40 MCs. Students who are required to take more than 40 MCs for programme completion are subject to supplementary tuition fees.
|
|
Financial Assistance
|
Students in this programme have in the past been eligible for, or received funding support from:
• Singapore Digital (SG:D) Scholarship (Postgraduate) (Singapore Citizens only) — An industry scholarship offered by the Infocomm Media Development Authority that empowers individuals interested in pursuing Infocomm Media-related studies at the Master's or PhD level
• OCBC AI Scholarship
• MComp Study Awards
For more about loans and other financial assistance, please refer to the NUS Office of Admissions.
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|
Application
|
S$50 (including GST)
- Non-refundable and non-transferable
|
|
Acceptance
|
S$5,000 (excluding GST)
- Payable upon acceptance of offer
- Non-refundable and non-transferable
- Will be credited towards tuition fees
|
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Miscellaneous Student Fees
|
As published by NUS Registrar’s Office
- Payable every regular semester
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