A specialist postgraduate university · Singapore

School of Business · BUS-MBAI

MSc in Business Artificial Intelligence (MBAI)

Build and lead AI-driven products and decisions — applied machine learning, product strategy, and AI governance.

Overview

A 12-month, full-time programme (16 months with the internship track) for graduates who want to build and lead AI-driven products and decisions in business.

It pairs applied machine learning with product strategy and AI governance, and offers a bridge module for capable applicants from non-quantitative backgrounds.

Eligibility & quick facts

Duration12 months full-time (16 with internship track)
TuitionSGD 62,000
Minimum CGPA3.2 / 4.0
Work experienceNot required; typical 0–3 years. Working professionals welcome.
Bachelor's degreeAny discipline; a quantitative background (business analytics, computer science, engineering, economics, mathematics, statistics, sciences) is preferred
EnglishIELTS 6.5 or TOEFL iBT 90
GMAT / GRENot required
PrerequisitesFoundational Python and statistics recommended; a bridge module is offered to admitted students from non-quantitative backgrounds

Curriculum

Core modules

  • Foundations of AI for Business
  • Machine Learning for Decision-Making
  • Data Management & Engineering
  • AI Product Strategy
  • Business Analytics
  • AI Ethics & Governance
  • Generative AI Applications
  • Financial & Managerial Foundations

Electives (selection)

  • Natural Language Processing for Business
  • Computer Vision Applications
  • AI in Marketing
  • MLOps in Practice
  • AI Venture Lab
Capstone. Industry AI Project — an applied build with a partner organisation.

Fees

Tuition
SGD 62,000
Application fee
SGD 100 (non-refundable)
Enrolment deposit
SGD 5,000 (credited to tuition on enrolment)

Intakes & deadlines

Next two intakes — round deadlines. Synthetic dates for testing.
IntakeRound 1 closesRound 2 closesFinal round closes
January 202731 Jul 202630 Sep 202615 Nov 2026
August 202731 Jan 202731 Mar 202715 May 2027

Applications are assessed on a rolling basis within each round; scholarship consideration is automatic for eligible applicants. Earlier rounds have the most scholarship capacity.

Scholarships

Eligible applicants are considered automatically; the following awards apply to this programme.

  • Test Merit Award
  • Women in Technology Scholarship
  • ASEAN Leaders Grant
  • Greater China Scholars Award
  • India Excellence Award
  • Early Commitment Rebate

See scholarships for amounts and country-specific eligibility.

Careers & pathways

  • AI product manager
  • Business AI consultant
  • Machine learning analyst
  • AI strategist
  • Data product owner
  • Automation / intelligent-operations lead

Who should not apply

These are negative factors and disqualifiers for this programme. Some are hard blocks; others indicate a poor fit and a better-matched alternative.

  • No quantitative or coding exposure and declines the bridge module
  • CGPA below 3.2
  • Degree from an unaccredited institution
  • Incomplete documentation
  • English below requirement without exemption
  • Passport from a restricted jurisdiction (see International)

How to apply

Follow the general admissions process. Programme-specific notes:

Academic experience

The MBAI is deliberately bilingual — fluent in code and in business. Students build models in the technical core, then learn to scope, price, govern, and ship them in the strategy core, finishing with a partner-led industry project.

For prospective students

Webinar

Inside Business AI — 27 Aug 2026

Article

Do you need to code to do the MBAI? (and how the bridge module works)

Guide

Interview prep guide for MBAI applicants

Alumni story

Chen Hao (MBAI 2024)

Faculty

Know your faculty: Assoc. Prof. Rajiv Anand