In principle all master courses offered at the TU/e can be chosen as free electives. Specifically, you may follow further courses in the program’s trajectories. Your complete study program including the free electives always requires approval by the examinations committee. Your mentor will help you to compose a balanced program that is very likely to be approved.
If you do not (yet) have a degree from another country or at least 15 credit points in international experience you are strongly encouraged to reserve 15 credits from the room for free electives to take courses abroad or to do an internship of 15 credits abroad.
The following courses are recommended free electives for DS&AI:
| Code | Course name | Quartile |
|---|---|---|
| SFC640 | Academic Writing | any |
| 2IMC10 | Internship | any |
| 2IMI05 | Capita Selecta | any |
| 2MMR40 | Research Topic 1 | any |
| 2MMR50 | Research Topic 2 | any |
| 2MMR60 | Research Topic 3 | any |
| 8DM50 | Machine learning in medical imaging and biology | Q1 |
| 5ARA0 | Software engineering for artificial intelligence | Q1 |
| 5ARB0 | Data Science: data acquisition and analysis | Q1 |
| 7ZU4M0 | Econometric analysis of housing markets: data, tools and strategies | Q1 |
| 2IMA10 | Advanced Algorithms | Q1 |
| 2IMF25 | Automated Reasoning | Q1 |
| 2IMA35 | Massively Parallel Algorithms | Q2 |
| 5SSD0 | Bayesian Machine Learning and information processing | Q2 |
| DBM180 | Designing with advanced artificial intelligence | Q2 |
| 4SC000 | Optimal control and reinforcement learning | Q2 |
| 0HM340 | Human-AI Interaction | Q3 |
| 2IMN30 | Machine Learning for Industry | Q3 |
| DBM190 | Designing with and for digital twins: A data-driven design perspective | Q3 |
| 5SC28 | Machine Learning for Systems and control | Q4 |
| 5LSL0 | Machine Learning for signal processing | Q4 |
| 1BM120 | Decision making with artificial and computational intelligence | Q4 |
| 5AUA0 | Advanced sensing using deep learning | Q4 |