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 FOR ADMISSION

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):

  • Semester 1: Aug–Dec
  • Semester 2: Jan–May
  • Special Term (Part 1): May–Jun
  • Special Term (Part 2): Jun–Jul

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 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:

  • 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


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 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.

PROGRAMME STRUCTURE

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.

View Courses

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.

View 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
 
 

For more details about the courses (e.g., laboratory-based or not, subsidy status), please click here.

View sample study schedule.

Note: 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 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


FEES AND FINANCIAL ASSISTANCE

The University reserves all rights to review fees as necessary and adjust accordingly without prior notice.

Tuition

S$49,900.00  (excluding GST) /
S$54,391.00 (including 9% 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.

Financial Assistance

Students in this programme may be eligible to receive funding support from some of the following scholarship and financial assistance schemes*:

* Subject to terms and conditions. Kindly refer to respective bodies offering the scholarship or financial assistance scheme for more information. NUS makes no representation or warranty of any kind, express or implied, regarding the accuracy, adequacy, validity, reliability, availability, or completeness of the information provided here.

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

Programme at a Glance*

Upcoming Event(s):

Tue, 21 Jan 2025
8.30pm–9.30pm (SGT):

NUS PGC Ask Us Anything Webinar

Register now!

Next Intake:

Application Period:
8 Nov 2024–31 Jan 2025

Apply now!

* For full details, please refer to main write-up.

For enquiries, contact us.

FREQUENTLY ASKED QUESTIONS

Click on the links below for more information:

Is work experience required for admission into the programme?

Work experience is required for admission into the programme for those who graduate with a three-year Bachelor’s degree (without Honours). As admission into the programme is on a competitive basis, applicants are encouraged to provide, along with their educational qualifications, details of any relevant work experience so that their applications are more complete and representative of their achievements.

Must I have a degree in any particular field before I can apply for the programme?

The MSc (AI&I) programme is a multidisciplinary and interdisciplinary programme; we welcome students from all academic backgrounds, so long as they have good degrees from well-recognised universities and are keen in building up capability to address AI challenges across various sectors.

Is a GMAT or GRE score required?

At the point of application, GMAT/GRE scores are not compulsory. For all coursework programmes, additional requirements may be stipulated later, e.g. if applicants come from universities whose academic standards are not known. These may include GMAT/GRE scores. Where such a score is required, the test must not have been taken earlier than two years before the proposed date of admission onto the programme.

What are the career prospects and pathways for a graduate of the programme?

As a broad-based multidisciplinary programme, MSc (AI&I) prepares graduates to take up a wide range of roles across a variety of industries and sectors.

Some examples of the kinds of roles that may be open to graduates of the programme include:

  • Innovation Manager
  • AI Product Manager
  • AI Consultant
  • AI Customer Success Manager
  • AI Entrepreneur
  • Business Analyst
  • AI Policymaker

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 that can be accessed by graduating students. The Centre aims to enhance students’ employability and ensure that they are career-ready upon graduation. Some of the support initiatives include career-readiness programmes, campus recruitment talks, career fairs, and even one-on-one coaching with a certified career advisor.

Find out more here: http://nus.edu.sg/CFG/students.

 

For more Frequently Asked Questions, click here.


For enquiries, contact us.

We will guide you through the next steps of your transformative journey.

 
21 November 2024