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 |
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1 | 8 |
01VSCWS | Data science and machine learning lab |
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1 | 8 |
02TWYWS
01TWWWS |
Computational linear algebra for large scale problems
or Statistical methods in data science |
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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 |
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1
1 1 |
8
8 8 |
01URZWS | Data Ethics and Data Protection |
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2 | 6 |
01TUYWS | Distributed architectures for big data processing and analytics |
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2 | 8 |
01VSDWS | Fundamentals of Artificial Intelligence, Machine and Deep Learning |
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2 | 10 |
01VSEWS | Mathematical and statistical methods for Artificial Intelligence |
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2 | 8 |
Code | Course | Language | Semester | Credits |
---|---|---|---|---|
01TXIWS | Innovation management |
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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 |
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1
1 2 1 |
8
8 8 8 |
01VIXWS
02VRVWS |
Deep natural language processing
or Efficient Computing for Artificial Intelligence |
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1
1 |
8
8 |
02UEWWS
13OCDWS |
Challenge
or Free ECTS credits (view Full curriculum) |
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1,2
1,2 |
8
12 |
17MBRWS | Thesis |
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2 | 22 |