Programme at a Glance
Intake and Application
Overview
The National University of Singapore (NUS) Master of Science (Artificial Intelligence & Innovation), also referred to as MSc (AI&I), is a multidisciplinary graduate degree programme that taps on the deep expertise of seven NUS academic units in areas pertinent to Artificial Intelligence (AI) and its diverse range of applications:
MSc (AI&I) focuses on harnessing the power of AI for innovation in different industries and enterprises. The programme's comprehensive curriculum equips students from both Science, Technology, Engineering and Mathematics (STEM) and non-STEM backgrounds with the AI knowledge and skills that will enable them to innovate across various sectors, contributing to the growth of the economy and society at large.
This programme aligns with the Singapore Government’s Singapore National AI Strategy 2.0 by providing continuing education opportunities to adult learners after their graduation, to keep pace with the changing nature of industry and work.
Why This Programme?
Enjoy a comprehensive and well-rounded education in AI that integrates diverse perspectives across both technical and social aspects.
Take advantage of industry-relevant electives and practical application opportunities to build up the capability to address complex challenges and seize opportunities in the rapidly evolving AI landscape.
Be poised to become a leader who is able to harness AI to drive innovation, advance the economy, facilitate Smart Nation priorities, and positively impact society.
Application Period
An Academic Year (AY) at NUS consists of two semesters and a special term (which occurs during the Semester 2 Vacation, and is divided into two parts of six weeks duration each):
For the MSc (AI&I) programme, there is one application period for each AY:
| Programme | Intake | Application Dates |
|---|---|---|
| MSc (AI&I) | Semester 1 (Aug Intake) | Nov of preceding year to Jan of intake year |
Admission to the MSc (AI&I) 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 a four-year programme with Honours) |
| Skill/Experience | At least one year of working experience if holding a three-year Bachelor's Degree (without Honours) |
| English Language | Applicants whose native tongue is not English: Test of English as a Foreign Language (TOEFL) minimum score of 85 (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 | Basic programming competency may be required for selected elective courses |
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 MSc (AI&I) programme is offered on the following basis (with estimated time to complete the programme indicated below):
| Full-time | 12–24 months |
| Part-time | 24–36 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 MSc (AI&I) is a 40-Unit coursework-based Master’s Degree programme comprising:
Core/essential courses (20 Units), and
Elective courses (20 Units):
At least 8 Units from Specialised Electives, Up to 12 Units from General Electives.Core/Essential Courses
These courses are unique to the MSc (AI&I) programme. Each course may consist of pre-class readings, assignments, tests and/or projects, and online/face-to-face classes and seminars.
| Course Code | Course Title | Units |
|---|---|---|
| MSI5001 | Introduction to AI: Concepts, Applications, and Evaluation | 4 |
| MSI5002 | Management of Technological Innovation with AI | 4 |
| MSI5003 | Innovation & Entrepreneurship in AI | 4 |
| MSI5004 | AI Governance and Ethics | 4 |
| MSI5102 | Essentials of Machine Learning | 4 |
Elective Courses
Students must complete 20 Units of elective courses, of which at least 8 Units must be Specialised Electives and the remaining can be General Electives. Elective course offerings are subject to change and may not be offered every semester.
Specialised Electives
| Course Code | Course Title | Units |
|---|---|---|
| LL5532X | Law, Algorithms and Artificial Intelligence | 4 |
| LL5533X | Data Privacy Compliance | 4 |
| MT5021 | Creativity and Problem-Solving Skills | 4 |
General Electives
| Course Code | Course Title | Units |
|---|---|---|
| ACE5411 | Cultural Analytics and Informatics | 4 |
| DSA5204 | Deep Learning and Applications | 4 |
| ECA5103 | Quantitative & Computing Methods | 4 |
| ECA5304 | Machine Learning and Economic Forecasting | 4 |
| ECA5305 | R Programming for Economists | 4 |
| ECA5307 | Python Programming for Economists | 4 |
| ECA5372 | Big Data Analytics and Technologies | 4 |
| ETP5341 | New Venture Finance | 4 |
| ETP5381 | Carbon Market & Sustainable Financing | 4 |
| IT5001 | Software Development Fundamentals | 4 |
| IT5005 | Artificial Intelligence | 4 |
| MSI5005 | Selected Topics in AI and Innovation | 4 |
| MSI5006 | Capstone Project for AI and Innovation | 4 |
| MT5010 | Technology Forecasting, Intelligence & Foresighting | 4 |
| NMC5364 | Digital Journalism, Law, and Society | 4 |
| PC5251 | Applied Machine Learning and Data Science | 4 |
For more details about the courses (e.g. laboratory-based or not, subsidy status), please click here.
View study schedule.
Note: Courses are subject to change. 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 MSc (AI&I) programme, students must meet the following requirements:
| Programme and/or Specialisation | Read and pass a total of 40 Units, comprising: 20 Units of core/essential courses, and 20 Units of elective courses: At least 8 Units from Specialised Electives,Up to 12 Units from General Electives. |
| Course and/or Qualification | As above (refer to section on Programme Structure for details) |
| 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$49,900.00 (excluding GST) /
Note: The tuition fees for this programme are payable based on the number of Units taken in a semester. The amount stated above is for 40 Units. Students who are required to take more than 40 Units for programme completion may be subjected to additional tuition fees. |
| Application | S$100.00 (excluding GST) / S$109.00 (including 9% GST) Non-refundable and non-transferable |
| Acceptance | S$5,000.00 (excluding GST) / S$5,450.00 (including 9% 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.
NUS Master's by Coursework Enhanced Tuition Fee Rebate
NUS Master's Degree by Coursework Tuition Fee Rebate
SG Digital Scholarship (Postgraduate)
SkillsFuture Level-Up Programme
SkillsFuture Singapore (SSG) Tuition Fee Subsidies
Programme at a Glance
Intake and Application
Contact Us
We will guide you through the next steps of your transformative journey.
For enquiries, contact us.