M.Sc. in AI Business 2026 (2569)

Curriculum Structure and Course Credits

1. Major Required Courses  18 credits
2. Major Elective Courses  At least 12 credits
3. Independent Study Course  6 credits
Total Credits  At least 36 credits

List of Courses in the Curriculum

1. Major Required Courses 18 credits
AIB 660 Programming for AI and Data Science 3 (3-0-6)
AIB 661 Business Data Analysis and Decision-Making 3 (3-0-6)
AIB 662 Data Analytics and Visualization 3 (3-0-6)
AIB 670 AI Technologies and Machine Learning Applications 3 (3-0-6)
AIB 680 Business Administration 3 (3-0-6)
AIB 790 Research Methodology 3 (3-0-6)
2. Major Elective Courses At least 12 credits
AIB 671 Advanced AI Techniques and Machine Learning Applications 3 (3-0-6)
AIB 672 AI for Data-Driven Decision Making 3 (3-0-6)
AIB 681 Marketing and Brand Management 3 (3-0-6)
AIB 682 Korean Language and Culture 1 2 (2-0-4)
AIB 683 Korean Language and Culture 2 2 (2-0-4)
AIB 763 Big Data Systems and Cloud Analytics 3 (3-0-6)
AIB 774 Natural Language Processing for AI 3 (3-0-6)
AIB 775 Voice and Speech Processing for AI 3 (3-0-6)
AIB 776 Computer Vision and Visual AI 3 (3-0-6)
AIB 777 Emerging AI Trends and Directions 3 (3-0-6)
AIB 778 Generative AI Applications 3 (3-0-6)
AIB 779 Reinforcement Learning for AI 3 (3-0-6)
AIB 784 Financial Analysis and Investment Strategy 3 (3-0-6)
AIB 785 Leadership and Strategy in AI Businesses 3 (3-0-6)
AIB 786 Applied AI Business Case Studies 3 (3-0-6)
AIB 787 AI-Driven Business Models 3 (3-0-6)
AIB 788 AI Ethics, Governance, and Policy 3 (3-0-6)
AIB 792 AI and IT Innovation Seminar 3 (3-0-6)
AIB 793 Selected Topics in AI Business 1 3 (3-0-6)
AIB 794 Selected Topics in AI Business 2 3 (3-0-6)
3. Independent Study Course 6 credits
AIB 797 INDEPENDENT STUDY 6 (0-0-18)
Total Credits 36 credits