Master's program
Data science in computer science and engineering (DS23_1)
| Semester 1 – Compulsory Courses | |
|---|---|
| Code | Course |
| Digital Signal 003 | Data Engineering |
| Digital Signal 0 | Data Science |
| Digital Signal 0 | Introductory Topics in Data Science |
| Elective Course from the Study Programme | |
| Elective Course from the Study Programme or the Faculty | |
| Semester 2 – Compulsory Courses | |
|---|---|
| Code | Course |
| Digital Signal 0 | Applied Machine Learning |
| m23_s_500 | Master’s Thesis |
| Elective Course from the Study Programme or the Faculty | |
| Elective Courses from Group “Study Programme – Winter Semester” | |||
|---|---|---|---|
| Code | Course | Recommended Semester | Prerequisites |
| m23_w_049 | Automated Machine Learning | 1 | None |
| m23_w_015 | Ambient Intelligence | 1 | None |
| m23_w_016 | Time-Series Analysis and Forecasting | 1 | None |
| m23_w_009 | Bayesian Data Analysis | 1 | None |
| m23_w_068 | Speech Technologies | 1 | None |
| m23_w_028 | Deep Learning for Natural Language Processing | 1 | None |
| m23_w_039 | Big Data Concepts and Applications | 1 | None |
| m23_w_051 | Machine Learning in Smart Energy Grids | 1 | None |
| m23_w_045 | Text Data Processing | 1 | None |
| m23_w_042 | Knowledge Discovery for Business Processes | 1 | None |
| m23_w_022 | Data Visualisation | 1 | None |
| m23_w_055 | Privacy, Security and Trust in Machine Learning Systems | 1 | None |
| m23_w_052 | Application of Machine Learning in Information Security | 1 | None |
| m23_w_023 | Applied Statistical Analysis | 1 | None |
| m23_w_018 | Applied Information Theory | 1 | None |
| m23_w_033 | Data-Driven Business Decision-Making Systems | 1 | None |
| m23_w_244 | Statistical Research Skills: Data Editing, Reporting and Visualisation | 1 | None |
