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OVERVIEW

The National University of Singapore (NUS) Master of Science in Social Analytics and AI, also referred to as MSc (SAAI), is a multidisciplinary graduate degree programme that taps on the deep expertise of three NUS academic units in areas pertinent to social sciences, artificial intelligence, computational methods, research methodologies and data-driven communication:

MSc (SAAI) focuses on the application, interpretation, and responsible use of AI across social, policy, organisational, and human-centred contexts. Designed for individuals interested in how AI interacts with people, institutions, organisations, and communities, SAAI combines analytical capabilities with a critical understanding of the ethical, cultural, political, and social dimensions of AI.

The programme equips students with AI literacy, computational and analytical methods, and social-science perspectives to understand complex issues, evaluate the implications of AI, and support evidence-informed decision-making. Students learn not only how to use AI and data-driven methods, but also how to assess when, where, and for whom these technologies should be applied.

The programme is particularly relevant to professionals and graduates in public service, policy, social science research, community development, communications, responsible AI, organisational strategy, and other fields where the ability to connect technological capabilities with an understanding of people and society is increasingly important.

Why This Programme?

  • Develop the ability to apply computational methods and data analytics to address complex social, policy and organisational challenges, while critically interpreting AI applications within social contexts.
  • Gain a unique perspective on AI through the lens of social sciences, with emphasis on critical inquiry, ethics, governance and responsible AI adoption.
  • Acquire interdisciplinary skills for careers in AI governance, policy analysis, social research, responsible AI, data analytics and social impact consulting through industry-relevant learning opportunities.

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 (SAAI) programme, there is one application period for each AY:

Programme Intake Application Dates
MSc (SAAI) Semester 1
(Aug Intake)
1 Nov of preceding year to 31 Jan of intake year             

Additional Information
Click on the links below for more information:
Onboarding Guide

ADMISSION REQUIREMENTS

Admission to the MSc (SAAI) 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)

Skill/Experience

At least one year of working experience if holding a three-year Bachelor's Degree (without Honours)

Basic programming competency is preferred.

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

Shortlisted candidates will be invited to attend an admission interview, attendance of which is mandatory in order to be considered for admission to the programme.


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 (SAAI) 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 (SAAI) 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

Students are required to complete five Core courses (4 Units each), as indicated in the list below.

View Courses

Course Code Course Title Units
SAAI5001 Making AI: Power, Society, and the Logic of Production 4
SAAI5002 Philosophy of AI and Technology 4
SAAI5004 Computational Social Science 4
SAAI5006 Speaking across Algorithms: AI Ethics in Multilingual Societies 4
MSI5001SA Introduction to AI: Concepts, Applications, and Evaluation 4
Elective Courses

Students must complete 20 Units of elective courses, of which at least 8 Units must be Specialised Electives, while 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
SAAI5005 AI and Qualitative Research 4
SAAI5007 The Social Life of AI 4
SAAI5008 AI, Politics and Policymaking 4
SAAI5009 Big Data Analytics for Social Science 4

General Electives
Course Code Course Title Units
SAAI5010 Independent Study in Social Analytics and AI 4
SAAI5011 Capstone Project 4
ACE5411 Cultural Informatics 4
GSA5101 Graduate Research Methods 4
GSA5104 Quantitative Data Analysis 4
GSA5105 Qualitative Data Analysis 4
IE5006 Large Scale System Engineering 4
MT5021 Creativity and Problem Solving 4
NMC5323 Crisis Communications and Leadership 4
NMC5341 Visualising Data 4
PLM5501 Psychological Bias and AI 4

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.

GRADUATION REQUIREMENTS

To graduate from the MSc (SAAI) 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 Fee

S$54,000  (excluding GST) /
S$58,860 (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

Not applicable

Application Fee

S$150.00 (excluding GST) /
S$163.50 (including 9% GST)

  • Non-refundable and non-transferable

Acceptance Fee

S$6,000.00 (excluding GST) /
S$6,540.00 (including 9% GST)

  • Payable upon acceptance of offer
  • Non-refundable (even if the Student's Pass application is not approved by ICA) 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):

Sat, 24 Oct 2026
3.00pm–4.00pm (SGT):

Master of Science (Social Analytics and Artificial Intelligence) Programme Information Session

Register now!

Next Intake:

Application Period:
1 Nov 2026–31 Jan 2027

Updating soon!

* 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 (SAAI) 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.

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 (SAAI) 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:

  • AI Governance Analyst
  • AI Ethics and Governance Consultant
  • Responsible AI Researcher
  • Social Data Analyst
  • Computational Social Scientist
  • Policy Research Analyst
  • Data Analytics Consultant
  • People Analytics Specialist
  • Social Impact Consultant
  • User Research Analyst

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.

 
28 August 2026