The information listed below should be considered as provisional. Official curricula are going to be published in June 2025.
| Code | Course | Language | Semester | Credits |
|---|---|---|---|---|
| 01TXAWS | Data management and visualization |
|
1 | 8 |
| 01VSCWS | Data science and machine learning lab |
|
1 | 8 |
|
02TWYWS
01TWWWS |
Computational linear algebra for large scale problems
or Statistical methods in data science |
|
1
1 |
8
8 |
|
01TXCWS
01DTGWS 02TXDWS |
Decision making and optimization
or Information Theory for Data Science or Numerical optimization for large scale problems and Stochastic Optimization |
|
1
1 1 |
8
8 8 |
| 01URZWS | Data Ethics and Data Protection |
|
2 | 6 |
| 01TUYWS | Distributed architectures for big data processing and analytics |
|
2 | 8 |
| 01VSDWS | Fundamentals of Artificial Intelligence, Machine and Deep Learning |
|
2 | 10 |
| 01VSEWS | Mathematical and statistical methods for Artificial Intelligence |
|
2 | 8 |
| Code | Course | Language | Semester | Credits |
|---|---|---|---|---|
| 01TXIWS | Innovation management |
|
1 | 6 |
|
02TXXWS
01DTHWS 01HZSWS 01TXLWS |
Applied data science project
or Computer-aided simulations lab or Geometric Learning, Time-Variant Data analysis, and Anomaly Detection or Network Dynamics and Learning |
|
1
1 2 1 |
8
8 8 8 |
|
01VIXWS
02VRVWS |
Deep natural language processing
or Efficient Computing for Artificial Intelligence |
|
1
1 |
8
8 |
|
02UEWWS
13OCDWS |
Challenge
or Free ECTS credits (view Full curriculum) |
- |
1,2
1,2 |
8
12 |
| 17MBRWS | Thesis |
|
2 | 22 |