MSc (Artificial Intelligence & Innovation)
| Program start date | Application deadline |
| 2026-08-01 | - |
Program Overview
Introduction to the MSc (Artificial Intelligence & Innovation) Programme
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.
Programme Overview
The MSc (AI&I) programme 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.
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 for Admission
Application Period
An Academic Year (AY) at NUS consists of two semesters and a special term. For the MSc (AI&I) programme, there is one application period for each AY:
- Semester 1: Aug–Dec
- Semester 2: Jan–May
- Special Term (Part 1): May–Jun
- Special Term (Part 2): Jun–Jul
Programme and Intake Details
| Programme | Intake | Application Dates |
|---|---|---|
| MSc (AI&I) | Semester 1 (Aug Intake) | Nov of preceding year to Jan of intake year |
Admission Requirements
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 must have a 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
- Other: Basic programming competency may be required for selected elective courses
Mode of Study and Programme Candidature
The MSc (AI&I) programme is offered on the following basis:
- Full-time: 12–24 months
- Part-time: 24–36 months
Programme Structure
The MSc (AI&I) is a 40-Unit coursework-based Master’s Degree programme comprising:
- Core/essential courses (20 Units)
- 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. | 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.
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 |
Graduation Requirements
To graduate from the MSc (AI&I) programme, students must meet the following requirements:
- Read and pass a total of 40 Units, comprising:
- 20 Units of core/essential courses
- 20 Units of elective courses
- Achieve a minimum Grade Point Average (GPA) of 3.0 (out of maximum 5.0)
Fees and Financial Assistance
- Tuition Fee: S$54,000 (excluding GST) / S$58,860 (including 9% GST)
- Financial Assistance: Students may be eligible for funding support from various scholarship and financial assistance schemes, including:
- 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
- Application Fee: S$150.00 (excluding GST) / S$163.50 (including 9% GST)
- Acceptance Fee: S$5,000.00 (excluding GST) / S$5,450.00 (including 9% GST)
- Miscellaneous Student Fees: As published by Office of the University Registrar
Programme at a Glance
- Next Intake: AUG 2026
- Application Period: 1 Nov 2025–31 Jan 2026
Frequently Asked Questions
- Is work experience required for admission into the programme? Work experience is required for those who graduate with a three-year Bachelor’s degree (without Honours).
- Must I have a degree in any particular field before I can apply for the programme? The MSc (AI&I) programme welcomes students from all academic backgrounds.
- Is a GMAT or GRE score required? At the point of application, GMAT/GRE scores are not compulsory.
- What are the career prospects and pathways for a graduate of the programme? Graduates can take up a wide range of roles across various industries and sectors, including Innovation Manager, AI Product Manager, AI Consultant, and more.
- What career support services can NUS offer to graduates of the programme who would like to switch careers? The NUS Centre for Future-Ready Graduates offers career resources, including career-readiness programmes, campus recruitment talks, career fairs, and one-on-one coaching with a certified career advisor.
