课程安排
教学计划
课程安排
课程示例
| 专业必修课 | 共18学分 |
| 圆桌讨论 | 1 |
| 实践实验 | 3 |
| 独立项目 | 6 |
| 实习 I | 2 |
| 实习 Ⅱ | 3 |
| 实习 Ⅲ | 3 |
| 专业选修课 | 共21学分 |
| Data Mining and Knowledge Discovery in Data Science | 3 |
| Automatic Machine Learning | 3 |
| Deep Learning in Data Science | 3 |
| Advanced Database Management for Data Science | 3 |
| Advanced Machine Learning | 3 |
| Parallel Programming for Data Science and Analytics | 3 |
| Foundation of Data Science and Analytics | 3 |
| Data Science Computing | 3 |
| Data Analysis and Privacy Protection in Blockchain | 3 |
| Data Exploration and Visualization | 3 |
| Spatio-Temporal Data Analysis | 3 |
| Introduction to Graph Learning | 3 |
| Special Topics | 3 |
| Practical Lab Course | 3 |
| One other course from Info Hub (Artificial Intelligence, Data Science and Analytics, and Internet of things) | 3 |
| 独立项目（6 学分） |
|
| 实习（8 学分） |
|