Program Overview

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Programmes

The National University of Singapore (NUS) offers a range of Master's Degree programmes, including:

• MSc (Artificial Intelligence & Innovation)
• MSc (Smart Industries and Digital Transformation)
  • Concurrent Degree Programme (CDP)
• MSc (Venture Creation)
• MSc (Environmental Management)
• Master of Computing
  • General Track
  • Computer Science Specialisation
  • Information Systems Specialisation
  • Infocomm Security Specialisation
• Master of Computing in Artificial Intelligence
• MSc in Digital Financial Technology
• MSc in Financial Engineering
• MSc in Business Analytics
• MSc (Biomedical Informatics)
• MSc in Sustainable Healthcare
• MSc in Behavioural and Implementation Sciences in Health
• MSc in Precision Health and Medicine
• MSc in Applied Biomedicine
• MSc in Infectious Disease Emergencies
• Master of Public Health
• MSc in Health Economics and Outcomes Research
• Master of Communication
  • Strategic Communication Specialisation
  • Data and Communication Specialisation
  • Global Media Communication Specialisation
• MA (Arts and Cultural Entrepreneurship)
• MA (Theatre and Performance Studies)
• MA (Coursework) in Japanese Visual Cultures
• MSocSci in Geopolitics of South Asia
• Master of Music Leadership
• More NUS Master's Degrees (Coursework)

Master of Science (Artificial Intelligence & Innovation)

Overview

The 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.

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. For the MSc (AI&I) programme, there is one application period for each AY:

• Programme: MSc (AI&I)
• Intake: Semester 1 (Aug Intake)
• Application Dates: 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
• Other: Basic programming competency may be required for selected elective courses

Mode of Study and Programme Candidature

The MSc (AI&I) programme is offered on the following basis:

• Full-time: 12–24 months
• Part-time: 24–36 months

Programme Structure

The MSc (AI&I) is a 40-Unit coursework-based Master’s Degree programme comprising:

• Core/essential courses (20 Units)
• 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.

• Course Code: MSI5001
  • Course Title: Introduction to AI: Concepts, Applications, and Evaluation
  • Units: 4
• Course Code: MSI5002
  • Course Title: Management of Technological Innovation with AI
  • Units: 4
• Course Code: MSI5003
  • Course Title: Innovation & Entrepreneurship in AI
  • Units: 4
• Course Code: MSI5004
  • Course Title: AI Governance and Ethics
  • Units: 4
• Course Code: MSI5102
  • Course Title: Essentials of Machine Learning
  • Units: 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.

Specialised Electives

• Course Code: LL5532X
  • Course Title: Law, Algorithms and Artificial Intelligence
  • Units: 4
• Course Code: LL5533X
  • Course Title: Data Privacy Compliance
  • Units: 4
• Course Code: MT5021
  • Course Title: Creativity and Problem-Solving Skills
  • Units: 4

General Electives

• Course Code: ACE5411
  • Course Title: Cultural Analytics and Informatics
  • Units: 4
• Course Code: DSA5204
  • Course Title: Deep Learning and Applications
  • Units: 4
• Course Code: ECA5103
  • Course Title: Quantitative & Computing Methods
  • Units: 4
• Course Code: ECA5304
  • Course Title: Machine Learning and Economic Forecasting
  • Units: 4
• Course Code: ECA5305
  • Course Title: R Programming for Economists
  • Units: 4
• Course Code: ECA5307
  • Course Title: Python Programming for Economists
  • Units: 4
• Course Code: ECA5372
  • Course Title: Big Data Analytics and Technologies
  • Units: 4
• Course Code: ETP5341
  • Course Title: New Venture Finance
  • Units: 4
• Course Code: ETP5381
  • Course Title: Carbon Market & Sustainable Financing
  • Units: 4
• Course Code: IT5001
  • Course Title: Software Development Fundamentals
  • Units: 4
• Course Code: IT5005
  • Course Title: Artificial Intelligence
  • Units: 4
• Course Code: MSI5005
  • Course Title: Selected Topics in AI and Innovation
  • Units: 4
• Course Code: MSI5006
  • Course Title: Capstone Project for AI and Innovation
  • Units: 4
• Course Code: MT5010
  • Course Title: Technology Forecasting, Intelligence & Foresighting
  • Units: 4
• Course Code: NMC5364
  • Course Title: Digital Journalism, Law, and Society
  • Units: 4
• Course Code: PC5251
  • Course Title: Applied Machine Learning and Data Science
  • Units: 4

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)

Fees

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

• Tuition: S$54,000.00 (excluding GST) / S$58,860.00 (including 9% GST)
• Application: S$150.00 (excluding GST) / S$163.50 (including 9% GST)
• Acceptance: S$5,000.00 (excluding GST) / S$5,450.00 (including 9% GST)
• Miscellaneous Student Fees: As published by Office of the University Registrar

Scholarships & Financial Assistance

The scholarships and financial assistance schemes presented here are examples of the kinds of funding from the University as well as third-party sponsors that might be available to eligible NUS Master's Degree (Coursework) programme students and applicants.

• NUS Master's by Coursework Enhanced Tuition Fee Rebate
• NUS Master's Degree by Coursework Tuition Fee Rebate
• SG Digital Scholarship (Postgraduate)
• SkillsFuture Level-Up Programme
• SkillsFuture Singapore (SSG) Tuition Fee Subsidies