The MA program requires at least 35 credits, excluding the 6 credits for the thesis.
Required Courses: 4 courses, total of 4 credits
Professional Preassign: 5 courses, total of 16 credits
Elective courses: at least 15 credits
| 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 | 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 |