Students
Tuition Fee
Start Date
2026-01-01
Medium of studying
Blended
Duration
1 years
Details
Program Details
Degree
Masters
Major
Business Management | Digital Marketing | Artificial Intelligence
Area of study
Business and Administration | Information and Communication Technologies
Education type
Blended
Timing
Part time
Course Language
English
Intakes
Program start dateApplication deadline
2026-01-01-
About Program

Program Overview


Programme Structure and Schedule

The programme is designed as a one-year, part-time structure for working professionals, featuring a modular format that combines intensive in-person blocks with online components. A global study trip and an applied capstone project are integral parts of the programme, which is delivered by leading NUS faculty and industry experts.


Programme Calendar

The programme calendar is subject to change and includes a one-week study segment every two months. Each Singapore segment includes two courses, while each global study week includes one course.


  • January: Study Week 1 in Singapore
  • March: Study Week 2 in Singapore
  • May: Study Week 3 in the United States
  • July: Study Week 4 in Singapore
  • September: Study Week 5 in Hong Kong and Shenzhen
  • November: Capstone Presentation in Singapore

Study Format & Workload

Each class requires approximately 39 hours, broken down into:


  • 16 hours of online learning
  • 20 hours of in-person sessions (2.5 full days)
  • 3 hours of company visits (1/2 day)

For each Singapore module, there are 3 full days of in-person class and 16 hours of online learning for one module. The global immersion module consists of 5 full days, with about half of the time dedicated to company visits.


Course Details

  • January 2026 (5–6 days) Week 1
    • Course ID: AI5201
    • Course Title: Executive Mastery of Artificial Intelligence: Foundations and Strategies
  • March 2026 (5–6 days) Week 2
    • Course ID: AI5204
    • Course Title: AI-Driven Digital Transformation: Strategies and Implementations
    • Course ID: AI5205
    • Course Title: Ethics, Governance, and Compliance in AI and Emerging Technologies
  • May 2026 (5 days) Week 3
    • Course ID: AI5208
    • Course Title: AI in Digital Finance: Strategies and Innovations
  • July 2026 (5–6 days) Week 4
    • Course ID: AI5206
    • Course Title: Harnessing Emerging Technologies for Business
    • Course ID: AI5209
    • Course Title: Digital Marketing in the AI Era
  • September 2026 (5 days) Week 5
    • Course ID: AI5207
    • Course Title: Digital Age Entrepreneurship and Innovation Management
  • November 2026 (1 day) Week 6
    • Course ID: AI5212
    • Course Title: Capstone Project Final Presentations
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