Deepening / broadening electives
In Q5, the start of the second year of your master's programme, you have the opportunity to personalise your education programme. At TU Delft we want to encourage you to give direction and shape to your profile yourself. That is why you can choose deepening or broadening elective courses from your own faculty or another faculty. You can also choose to participate in a bigger interdisciplinary project course during this quarter.
Year 2 |
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Quarter 5 |
Quarter 6 |
Quarter 7 |
Quarter 8 |
| Deepening / broadening electives | |||
Credits: Q5 deepening and broadening elective space consists of 15EC.
Deepening Data Science and AI Technology electives
You can deepen or broaden your mastery of knowledge on DSAIT-related topics. Below you find an exemplary list of possible electives that might be interesting. The courses are interesting for all DSAIT students, though some courses are recommended for students who have followed specific themes.
| Formal Methods for Machine Learning | For all DSAIT students, Recommended for theme AML, O&R, PDM, SE4DSAI, LST, BIO |
| Machine Learning for Graph Data | For all DSAIT students, Recommended for theme AML, O&R, HCAI, LST, BIO |
| Building Serious Games | For all DSAIT students, Recommended for theme HCAI |
| Socio-Cognitive Engineering | For all DSAIT students, Recommended for theme HCAI |
| Educational Technologies | For all DSAIT students, Recommended for theme HCAI |
| Cyber Risk Management | For all DSAIT students, Recommended for theme SE4DSAI |
Broadening electives
It is possible to choose electives from other engineering study programmes during your Q5 elective space. By choosing this you are relating your data and AI knowledge to other disciplines or entrepreneurial ambitions you might have. Below you find an exemplary list of possible electives that might be interesting:
- Technology Entrepreneurship and Innovation
- Technology Entrepreneurship and Internationalization
- Digital Technology Entrepreneurship and Management
- Idea to Startup – IT & AI
Interdisciplinary projects
At TU Delft, we strive to equip you with the intellectual tools to develop responsible engineering solutions for complex societal problems in a rapidly changing multi-actor context. In your professional career, you will work in interdisciplinary project groups, collaborating with people from very different backgrounds.
With the possibility to choose deepening or broadening interdisciplinary projects, you are trained to act successfully in an interdisciplinary environment and to shape your personal path and profile as a flexible AI engineer that can apply DSAIT knowledge to real-world problems with professionals from different backgrounds. Below you find an exemplary list of possible electives that might be interesting:
- Joint Interdisciplinary Project (JIP)
- Interdisciplinary Advanced AI Project (IAAIP)
- Technology Venture Development (TVD)