AI-MBA Curriculum
Education Schedule & Content
| Category | Coursework (Total 45 Credits) |
|---|---|
| 1st Semester (Mar–Aug) | 7 Courses + 2 Online Courses |
| 2nd Semester (Sep–Feb) | 7 Courses + 2 Online Courses |
| 3rd Semester (Mar–Jun) | 4 Courses + (Practicum, etc.) |
- Course Duration: 1 Year 4 Months (Spring/Fall: 16 weeks, Summer/Winter: 8 weeks)
- Class Hours: Saturdays (Planned 09:00 – 19:00)
Required Courses
| Category | Courses | Remarks |
|---|---|---|
| Basic Core (4 Credits) |
|
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| General Core (19 Credits) |
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Pro-MBA Foundation Courses (Including online) : Choose 4 from Business Statistics, Decision Making, Financial Management, Marketing, Strategic Management, Organizational Behavior, International Business, MIS, Operations Management, Business Ethics, Financial Accounting |
| Major Electives (22 Credits) |
Courses listed in the AI Big Data Innovation Track handbook (Up to 6 credits can be substituted with courses from other MBA programs) |
|
Saturday Class Schedule
| Class Mode | Education Hours | Remarks |
|---|---|---|
| 2-Session Mode | Period 1: 09:00 – 12:30 Period 2: 13:30 – 17:00 |
2 Credits 2 Credits |
| 3-Session Mode | Period 1: 09:00 – 12:30 Period 2: 13:30 – 17:00 Period 3: 17:30 – 19:00 |
2 Credits 2 Credits 1 Credit |
- Course Duration: 1 Year 4 Months (Spring/Fall: 16 weeks, Summer/Winter: 8 weeks)
- Class Hours: Saturdays (Planned 09:00 – 19:00)
4 Key Areas
Data Analytics
- Introduction to AI & Big Data Innovation
- Programming Language for AI & Big Data Analytics
- Decision Analysis and Risk Analytics
- Simulation Modeling for Business Innovation
- Predictive Analytics
Big Data
- Big Data Cloud Computing
- Big Data Business Platform Development
- Data Mining
- Text Mining
Artificial Intelligence
- Optimization Methods and Application of AI
- AI & Deep Learning
- AI Application & Practice
Business Innovation
- Marketing Application of Big Data
- AI Big Data Analytics for Financial Institutions
- Business Innovation and Start-up
- Advanced Business Innovation and Start-up
- High-tech Driven Emerging Market Study (Metaverse)
- Business Courses (Pro-MBA Foundation): Select 4 courses
Practical Courses
Brown Bag Seminar (1 Credit)
- Identify recent trends in AI and Big Data through sessions with industry experts.
Professional Topic Research (4 Credits)
- Customized learning with professors for exploring business topics and developing business plans.
Practicum (2 Credits)
- A team-based course where students implement real-world business models based on outstanding projects selected from Professional Topic Research.
- Results are presented and shared through the Practicum Competition and Award Ceremony.
AI Global Seminar (1 Credit)
- Provides opportunities to foster leadership and share the experiences of AI experts through field trips to domestic and overseas locations.