The Ph.D. in the AI Convergence Major prepares students to lead the next wave of AI Transformation (AX) by focusing on advanced 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 research and practical industrial application 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 advanced 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 advanced practical and research 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 Leaders of AX for high-impact integration roles in the next wave of AI Transformation (AX).

Structure

The program is structured to transition students from foundational AI principles to specialized industrial application. To graduate, students must complete 36 credit hours, pass a comprehensive examination, and successfully defend a thesis.

Curriculum

Required Courses:

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

Major Elective Courses: