Programme at a Glance
Intake and Application
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 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 |
| 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 | 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. |
| Other | 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. |
Candidates may visit the official Educational Testing Service (ETS) website for scheduling of TOEFL/GRE tests.
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.
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.
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.
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 may be Level 4000.
Note: Most level 5000 courses are conducted in the evenings.
Specialisation Courses
AI Core/Essential Courses
| Course Code | Course Title | Units |
|---|---|---|
| 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 Courses
| Course Code | Course Title | Units |
|---|---|---|
| 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 | Human-Centred Intelligent Systems | 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.
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 |
The University reserves all rights to review fees as necessary and adjust accordingly without prior notice.
| Tuition | S$52,550.00
(excluding GST) /
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. |
| Application | S$109.00 (including 9% GST) Non-refundable and non-transferable |
| Acceptance | S$5,000.00 (excluding GST) Payable upon acceptance of offer Non-refundable and non-transferable Will be credited towards tuition fees |
| Miscellaneous Student Fees | As published by Office of the University Registrar
Payable every regular semester |
Scholarships & Financial Assistance
The scholarships and financial assistance schemes presented here are examples of the kinds of funding from the University as well as third-party sponsors that might be available to eligible NUS Master's Degree (Coursework) programme students and applicants.
The information provided is subject to change, and warranties cannot be provided as to its completeness or accuracy. Students and applicants are strongly encouraged to conduct their own research, and refer to the relevant sponsors and/or websites for more detailed and up-to-date information.
Master of Computing Study Awards
NUS Master's Degree by Coursework Tuition Fee Rebate
OCBC Postgraduate AI Scholarship
School of Computing (SOC) Tuition Fee Subsidy
SG Digital Scholarship (Postgraduate)
SkillsFuture Level-Up Programme
SkillsFuture Singapore (SSG) Tuition Fee Subsidies
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