Master of Science in Enterprise Artificial Intelligence

The MSc in Enterprise AI programme aims to address the critical industry needs and talent gaps by meeting the growing learning needs around business-centric AI skills, AI literacy for non-technical leaders, and responsible AI governance. It also uniquely addresses applied innovation through AI product management and no-/low-code platforms. Strategically

positioned relative to existing offerings in AI and digital transformation, the programme is unique in nurturing a new generation of “AI-savvy” professionals and business leaders who can drive enterprise AI integration for strategic value.

Why Choose Our Programme?

Addresses key industry gaps by training professionals who can apply AI for maximum business impact.
Focuses on practical, business-centric skills that go beyond traditional computer science degrees, such as analysing workflows and driving adoption of AI solutions.
Boosts AI literacy for non-technical professionals by demystifying core concepts and empowering people from various backgrounds (like marketing and finance) to work effectively with AI.
Emphasises responsible AI and governance, a crucial and in-demand skill set that prepares students to manage ethical issues, risks, and regulatory compliance.
Develops skills in AI product management and innovation, preparing students to lead AI projects from concept to deployment and solve real-world business problems.

Graduates of the MSc in Enterprise AI will be equipped to pursue a variety of high-impact

career pathways at the intersection of technology and business. The programme’s blend of

skills prepares students for roles such as:

• AI Project Lead / AI Project Manager

• Digital Transformation Strategist

• AI Product Manager

• Innovation or AI Consultant

• AI Governance or Policy Officer

Programme Title	Master of Science in Enterprise Artificial Intelligence Programme
Period of Candidature	• Full Time: minimum 1 Year / 3 Trimesters, maximum 2 Years / 6 Trimesters • Part Time: minimum 1.5 Years / 5 Trimesters, maximum 3 Years / 9 Trimesters
Course Requirement	12 Courses and 1 Capstone Course
Total AU Requirement	30 AUs
Funding	Self-funded Programme (Non-subsidised)

Academic Unit Structure and Requirement

The MSc in Enterprise AI is designed as a flexible, interdisciplinary, and industry-aligned

programme that equips students with both the strategic insight and practical tools needed to

lead AI transformation initiatives across diverse sectors. The programme adopts a modular

architecture comprising 30 Academic Units (AUs), delivered through five curriculum pillars.

The total number of AUs required for graduation is 30.

Core Curriculum Structure (30 AUs)

The MSc in Enterprise AI is structured around five foundational pillars that reflect the full AI

transformation lifecycle—from strategic visioning and data intelligence to implementation,

ethical governance, and applied capstone execution:

1) Strategy, Leadership & Transformation (7.5 AUs)

This pillar cultivates the strategic thinking, leadership, and change management

capabilities required to drive AI adoption in enterprise contexts. Courses explore how AI

technologies reshape business models, organisational processes, and innovation

strategies. Students gain skills in AI project planning, business alignment, and

transformation leadership.

Courses include:

• AI Automation and Application in Enterprise (3 AUs)

• Strategic Management and Leadership of AI and Digital Innovation (3 AUs)

• Emerging AI Technologies (1.5 AUs)

2) Data, Analytics & Intelligence (9 AUs)

This pillar develops analytical proficiency and data-driven decision-making competencies.

Students will engage with structured and unstructured data sources, including predictive

analytics, machine learning, and natural language/vision applications. Emphasis is placed

on real-world business use cases and quantitative reasoning in support of strategic insight.

Courses include:

• Contemporary Data Architecture, Management and Governance (3 AUs)

• Applied Predictive Analytics for Business Strategy (3 AUs)

• Next-Gen Analytics: From Language to Vision (3 AUs)

3) Platforms, Tools & Implementation (7.5 AUs)

Focused on application and operationalisation, this pillar trains students to work with

contemporary AI tools, no-code/low-code platforms, and enterprise-scale integration

technologies. It covers hands-on proficiency in deploying AI solutions, designing intelligent

systems, and evaluating platform interoperability across the business technology stack.

Courses include:

• Generative AI and Agentic AI (3 AUs)

• AI Ecosystems: Platforms, Integration, and Automation (1.5 AUs)

• AI Product Development and Agile Thinking (3 AUs)

4) Ethics, Governance & Responsible AI (3 AUs)

With increasing regulatory scrutiny and societal impact, this pillar ensures students

develop a principled understanding of responsible AI use. Students explore topics

including algorithmic bias, data ethics, cybersecurity, compliance, and governance

frameworks aligned with global standards (e.g., OECD, EU AI Act, Singapore Model AI

Governance Framework).

Courses include:

Responsible AI and Governance (1.5 AUs)
AI-Driven Cybersecurity: Safeguarding the Intelligent Enterprise (1.5 AUs)

5) AI Transformation Capstone (3 AUs)

The capstone is the integrative apex of the programme, where students apply their

accumulated knowledge to address a complex, real-world AI transformation challenge in

a selected industry or enterprise domain. Working independently or in teams, students

develop an AI strategy, design implementation roadmaps, and produce executive-level

deliverables, such as business cases or technical pilots.

The admissions requirements for the MSc in Enterprise AI are as follows:

• Eligibility: A Bachelor’s degree with honours or its equivalent in any discipline from an institution of recognised standing.

• For applicants whose native language is not English, TOEFL/IELTS score must be submitted with the application for admission. Applicants may be waived from this requirement if the applicant has completed the first degree taught entirely in English, situated in an English-speaking country, for example (non-exhaustive list) Australia, Canada, Hong Kong, India, New Zealand, Philippines, Singapore, United Kingdom, USA. The TOEFL/IELTS result is only valid for 2 years after the test and should be valid at the beginning of the application period

- TOEFL iBT: 85 or 4.0

- IELTS: 6

• Work Experience: Candidates opting for the programme on part-time basis should preferably have 1 or more years of relevant work experience after their first degree. The programme also welcomes mid-career professionals with longer work histories.

Programme Fees

The fee of the programme is $57,770 (inclusive of GST) for AY2026.
There is an application fee of $50.
There is a deposit fee of $5,000 which can be used to offset the first tuition fee payment.

Financial Aid

All NTU alumni and associate alumni, regardless of nationality, will receive a 10% tuition fee discount.
Singaporeans and Permanent Residents will receive a S$5,000 subsidy. Those eligible for financial aid may receive up to S$15,000.

NTU Interdisciplinary Graduate Programme offers scholarship opportunities across all programmes for applicants who demonstrate strong academic achievement, leadership potential, and readiness for postgraduate study.

GATE Scholarship (Global Award for Talent and Excellence)

Open to all nationalities

The GATE Scholarship recognises outstanding applicants with strong academic achievement, leadership potential, and a global outlook. It supports candidates who demonstrate intellectual rigour, professional readiness, and the ability to translate knowledge into real-world impact, particularly in technology, engineering, and innovation-driven domains.

Award value

Up to S$15,000

Eligibility

Open to applicants of all nationalities
Strong academic achievement based on undergraduate results
Demonstrated leadership qualities and/or relevant industry experience

How to apply

No separate application is required. Eligible candidates will be shortlisted by the Programme Directors and invited to accept the scholarship.

In exceptional cases, shortlisted candidates may be invited for an interview.

Terms and conditions

The scholarship is applicable to students enrolled in the following NTU PACE programmes:

Master of Science in Engineering Management
Master of Science in Nanotechnology and Nanoscience
Master of Science in Enterprise Artificial Intelligence

The award will be applied as a tuition fee offset towards the latter part of the programme, subject to successful completion of the programme.

Recipients are expected to maintain satisfactory academic progress and conduct throughout their studies.

NTU reserves the right to review or withdraw the scholarship if these conditions are not met.

LPDP–NTU Master’s Scholarship (INSTEP)

Open to Indonesian nationals

INSTEP supports high-achieving Indonesian students pursuing a full-time Master’s programme at NTU. The scholarship is administered by LPDP in partnership with NTU and is intended for candidates with strong academic foundations, leadership potential, and a commitment to contribute to Indonesia’s development.

Award value

Award coverage is determined by LPDP and may include tuition fees, living allowances, and other approved study-related expenses.

Eligibility

Meet NTU’s admission requirements for the chosen Master’s programme

Be successfully shortlisted and nominated by LPDP

How to apply

Applicants must apply to NTU and the LPDP (E-Beasiswa) system separately. Scholarship selection is administered by LPDP in partnership with NTU.

Full details are available on the INSTEP LPDP-NTU Master's Scholarship webpage.