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.
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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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Note: Applicants are responsible for ensuring that application information and all supporting documents are truthful and correct. NUS reserves the right to verify information provided as part of an application. False or misleading information in an application (including but not limited to test scores, resumes, certificates, transcripts, etc.) is grounds for admission rejection, revocation and/or dismissal from the University.
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-Unit coursework-based Master’s Degree programme that offers two pathways to complete the programme:
- Coursework Option, which comprises:
- Specialisation courses (20 Units), inclusive of AI core/essential courses (12 Units) and AI elective courses (8 Units), and
- Non-specialisation courses (20 Units), which may include AI elective courses and/or level 4000 to 6000 courses offered by the School of Computing.
Note: Of the courses required above, a maximum of two may be Level 4000.
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- Dissertation Option, which comprises:
- Dissertation (16 Units),
- Specialisation courses (12 Units), comprising AI core/essential courses, and
- Non-specialisation courses (12 Units), which may include AI elective courses and/or level 4000 to 6000 courses offered by the School of Computing.
Note: Of the courses 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 courses are conducted in the evenings.
View Courses
AI Core/Essential Courses
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Course Code
|
Course Title
|
Units |
| CS5446 |
AI Planning and Decision Making |
4 |
CS5340
|
Uncertainty Modelling in AI
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4 |
Choose one:
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CS5339
|
Theory and Algorithms for Machine Learning
|
4 |
CS5242
|
Neural Networks and Deep Learning
|
4 |
IS5152
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Data-Driven Decision Making
|
4 |
AI Elective Courses
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Course Code
|
Course Title
|
Units |
CS4243
|
Computer Vision and Pattern Recognition
|
4 |
| CS4244 |
Knowledge Representation and Reasoning
|
4 |
CS4248
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Natural Language Processing
|
4 |
CS5215
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Constraint Programming
|
4 |
CS5228
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Knowledge Discovery and Data Mining
|
4 |
CS5242
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Neural Networks and Deep Learning
|
4 |
CS5246
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Text Mining |
4 |
CS5260
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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: Courses 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 courses listed above (as well as other courses offered in the current academic year), please visit 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 Units.
|
| Course and/or Qualification |
Refer to the respective Option in the Programme Structure above.
|
| Grade Point Average (GPA) |
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 (GST rate will be increased from (i) 7% to 8% with effect from 1 Jan 2023; and (ii) 8% to 9% with effect from 1 Jan 2024). The University reserves all rights to review fees as necessary and adjust accordingly without prior notice.
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Tuition
|
S$51,000.00
(excluding GST) /
From S$55,080.00 (including 8% GST) to S$55,590.00 (including 9% GST)*
* A range is being shown here because the exact amount will vary due to the GST rate increase. To learn more, click here.
Note: The tuition fee stated above is for 40 Units. Students who are required to take more than 40 Units for programme completion are subject to supplementary tuition fees.
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Financial Assistance
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Starting AY2023/2024, tuition fee rebates will be provided for this programme as an NUS Master's Degree by Coursework programme not subsidised by the government:
• All Singaporeans and Singapore PRs will receive a 10% tuition fee rebate
• All NUS alumni will receive an additional 5% tuition fee rebate
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
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S$100.93 (including 8% GST, with effect from 1 Jan 2023);
S$101.87 (including 9% GST, with effect from 1 Jan 2024)
- Non-refundable and non-transferable
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Acceptance
|
S$5,000.00 (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
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As published by NUS Registrar’s Office
- Payable every regular semester
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