The MA program requires at least 34 credits, excluding the 6 credits for the thesis.
Required Courses: 4 courses, total of 4 credits
Professional Preassign: 5 courses, total of 15 credits
Elective courses: at least 15 credits
※ An English graduation threshold is required.
| Course Name | Required / Elective | Credits | |
| Specialized courses required | Special Topics (1)~(4) | Required | 4 |
| Professional Preassign | Statistical Methods | Required | 3 |
| Data Science | Required | 3 | |
| Optimization Methods | Required | 3 | |
| Machine Learning | Required | 3 | |
| Data Analysis in Practice (Statistical Consulting) | Required | 3 | |
| Elective courses | High Frequency Financial Data Analysis | Elective | 3 |
| Data Visualization | Elective | 3 | |
| Social and Information Network Analysis | Elective | 3 | |
| Recommendation System (or other information related courses) | Elective | 3 | |
| Deep Learning | Elective | 3 | |
| Artificial Intelligence | Elective | 3 | |
| Bioinformatics | Elective | 3 | |
| *Elective courses offered by the Institute of Statistics | Elective |
3 |
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English |
Δ GEPT Level: Advanced at least. Δ TOEFL IBT Score: 72 at least. Δ IELTS Score: 5.5 at least. Δ TOEIC Scores: 785 at least. Δ If you fail any of the above tests, you will receive a credit for taking an English-taught course. |
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