Master of Science in Enterprise Artificial Intelligence (NEW)

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: 90 or 4.5

        -  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.

    Admissions

    What does the admissions committee look for?
    Applications are reviewed holistically. Key considerations include your undergraduate institution, academic performance (GPA or degree results), and relevant experience (internships and/or full-time work). The committee also considers motivation, resilience, career goals, and cohort diversity.

    Is work experience required?
    Work experience is not required for full-time applicants. Relevant internships or professional experience are considered where applicable.

    Are GMAT or GRE scores required?
     No. GMAT and GRE scores are not required, though they may be submitted to support your application.

    If I have multiple short internships, is that helpful?
    Yes. Internships are considered relevant experience.

    If my grades improved over time, will that be considered?
    Yes. You should highlight any improvement and provide relevant context in your application.

    Are interviews required?
    Interviews are not routinely conducted. Shortlisted candidates may be invited for an interview if clarification is needed.

    Can I apply if my research experience is mainly theoretical or computational?
    Yes. Relevant research experience in theoretical, computational, or experimental areas is considered.

    Will research or industry experience be considered?
    Yes. Research and relevant industry experience are considered alongside academic results and English proficiency.

    If my undergraduate institution is not highly ranked but my GPA is strong, will my application still be considered?
    Yes. Applications are assessed holistically; a strong GPA can strengthen your application alongside relevant experience.

    If my GPA is modest but I have relevant work experience, will this strengthen my application?
    Yes. Relevant work experience is considered together with your academic record and supporting documents.

    Is there an age limit?
    No. There is no age criterion, provided you meet the admission requirements.

    If my undergraduate research is not fully aligned with the programme I applied for, what should I include?
    You may upload supporting documents and explain your background and motivation in your personal statement.

    What determines whether I complete the programme in 1 year or up to 2 years?
    This depends on your study pace and individual circumstances. Students who take a full academic load each trimester and complete all coursework and the capstone without interruption can typically finish within the minimum of three trimesters (one year).

    The maximum duration of six trimesters (two years) allows flexibility for students who study at a reduced load, for example due to work commitments, internships, health, or personal reasons, or who require additional time for project-based components. The programme is structured to enable timely completion while accommodating individual needs without compromising academic standards.

    Will NTU provide a project if I do not use my own case?
    Yes. By default, the Capstone is completed as a group project based on a complex, real-world AI transformation challenge in a selected industry or enterprise domain provided by the programme.

    Do I need strong quantitative skills?
    Some core modules involve analytical and quantitative work. Students should be comfortable with basic maths and quantitative analysis, and be prepared to build these skills.

     

    Applications

    When will I receive my application outcome?
    Offers are released in batches. Complete applications are reviewed first.

    Can I expedite my application if I have another offer deadline?
    Yes. If you have another offer with a deadline, you may email the programme team with the offer letter. Where possible, the team may expedite the review or provide an informal indication after internal review.

    Why is my application taking longer to review?
    We take every application into serious consideration and with a high number of applications we receive on a daily basis, the review process takes a significant time. Missing or incomplete documents can delay processing. Please ensure all required documents are uploaded.

     

    Scholarships

    Are scholarships available?
    Scholarships are available for eligible applicants. Awards are competitive and offered on a selective basis. Please refer to the relevant programme webpage for details.

     

    Careers and staying in Singapore

    Does NTU provide career support?
    Yes. Students have access to NTU’s career support services, including career fairs and career development workshops.

    Can I stay in Singapore after graduation to look for a job?
    This is subject to prevailing immigration regulations. International graduates must secure a suitable role and obtain a valid work pass. Please refer to the Ministry of Manpower (MOM) website for the latest requirements.

    Is on-campus accommodation guaranteed?
    No. On-campus housing is limited and allocated through a University process (e.g. ballot). Many students stay off-campus. The University or programme may share external accommodation resources.

     

    Programme delivery and internships

    What is the programme duration?
     Programme duration varies by study mode:

    •Full-time: typically 1 to 2 years
    •Part-time: typically 1.5 to 3 years

    Please refer to the respective programme webpage for programme-specific details.

    Can I use my company’s own business case for the Capstone?
    Possibly. The use of a company-specific business case is considered on a case-by-case basis and is subject to approval, including any required confidentiality arrangements.

    Will NTU provide a project if I do not use my own case?
    Yes. For programmes with a Capstone, projects are typically conducted in groups and are based on real-world challenges provided by the programme.

    When are lessons held? Are they evening classes?
    Classes are held on campus at NTU, Singapore. They are not exclusively in the evenings; some are scheduled in the afternoons.

    Are internships allowed during the programme?
    As the programmes are highly intensive, we do not recommend taking on full-time internships. You may choose to undertake part-time internships during the semester, up to a maximum of 16 hours per week, subjected to prevailing immigration regulations. Please refer to the MOM website for more details

     

    Admissions

    Is MSEAI suitable for non-technical professionals?
    Yes. The programme includes no-code to low-code pathways and is designed for managers and professionals without a programming background who want to lead AI initiatives.

    Do I need prior coding experience?
    No. The curriculum emphasises strategic AI, tools, and implementation rather than deep programming.

    Is MSEAI suitable for senior executives?
    Yes. The programme is suitable for senior executives. It focuses on the strategic, managerial, and enterprise-level use of AI rather than coding or technical development. Participants benefit from AI strategy, governance, and transformation content, as well as case-based and project-based learning, while contributing industry perspectives to the cohort.

     

    Programme delivery

    Is MSEAI more technical or strategic?
    MSEAI is strategy-oriented. It focuses on AI leadership, governance, product management, and organisational transformation rather than model development.

    How is the programme assessed, and how intensive is it for part-time students?
    Part-time students follow the same academic standards as full-time students. Assessment is typically based on assignments, group projects, presentations, and a capstone project. The programme emphasises continuous assessment rather than high-stakes final exams.

    Which school awards the MSc degree?
    The degree is awarded jointly by Nanyang Business School (NBS) and the College of Computing and Data Science (CCDS).

    Can students work on real industry projects?
    Yes. The AI Transformation Capstone involves real-world projects in partnership with organisations.

    What determines whether I complete the programme in 1 year or up to 2 years?
    This depends on your study pace and individual circumstances. Students who take a full academic load each trimester and complete all coursework and the capstone without interruption can typically finish within the minimum of three trimesters (one year).

    The maximum duration of six trimesters (two years) allows flexibility for students who study at a reduced load, for example due to work commitments, internships, health, or personal reasons, or who require additional time for project-based components. The programme is structured to enable timely completion while accommodating individual needs without compromising academic standards.

    Will NTU provide a project if I do not use my own case?
    Yes. By default, the Capstone is completed as a group project based on a complex, real-world AI transformation challenge in a selected industry or enterprise domain provided by the programme.