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Master’s in AI Convergence

Master’s in AI Convergence

The Master’s in the AI Convergence Major prepares students to lead the next wave of AI Transformation (AX) by focusing on practical, industry-ready solutions. While traditional AI programs often prioritize purely theoretical and technical development, this program is designed for multidisciplinary "Convergent Talents" who can integrate artificial intelligence into specialized practical fields—such as Business, Finance, Healthcare, Bioinformatics, Logistics, Transportation, Media, Creative Industries, Smart Cities, Smart Manufacturing, Industrial Automation, and other industries—to solve complex, real-world problems through capstone and venture projects.

Overview

  • IntakeSpring & Fall
  • Duration2 years
  • Credits27
  • TypeFull-time
  • FormatOffline
  • LanguageEnglish
  • IndustryAI Convergence

What makes our program unique?

Students gain actionable expertise through a curriculum built on multidisciplinary AI applications and sector-specific projects. We transform students into AX convergence experts by blending core theory with venture simulations and the AI Innovation Venture Studio. Taught by faculty with deep industrial experience, the program emphasizes practical skills over passive learning through mandatory Capstone Projects and direct corporate collaboration. Graduates finish with a professional portfolio of real-world AI solutions, ensuring they are uniquely prepared as AX Leaders for high-impact integration roles in the next wave of AI Transformation (AX).

Structure

The AI Convergence Major Master’s is structured around University Required Courses and Major Electives, completed within two years. Students must earn 24 credits (8 courses) for the thesis track, which includes a thesis and oral defense, or 27 credits (9 courses) for the non-thesis track, which requires a comprehensive examination. All students complete three core AI courses and select electives from sector-specific advanced topics, culminating in a mandatory, industry-linked Capstone and Industry Projects course.

Credit
Classification
Thesis Non-thesis
Common Required 9 9
Major Elective 3 6

Curriculum

Required Courses:
Study Area Course Credits
Common Required Principles of AI 3
Ethical AI / Decision-Making 3
Generative AI for Business 3

*Common Required courses; each student must register for a minimum of 6 credits as part of the graduation requirement.

Major Elective Courses:
Study Area Course Credits
Major Electives Computer Vision for Industry 3
Business Intelligence & Data Analytics 1 3
AI in Business, Finance & Customer Analytics 3
Human Computer Interaction for AI 3
AI in Media & Creative Industries 3
AI for Healthcare and Bioinformatics 3
Industrial Automation 1 3
Capstone & Industry Projects 1 6
AI for Smart Manufacturing 3
AI for Supply Chain & Transportation 3
Advanced Research Design and Methodology 3
AI for Smart Cities/Infrastructure 3
AI Innovation Venture Studio 1 6

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