EIT Data Science (EIT-DS)

Academic year 2020-2021

Programme mentor: dr.ir. Maurice van Keulen

The DS programme contains a number of core (4) and advanced courses (4 out of 6). The intention is that students minimize the number of core and advanced courses they still have to do in their exit year, so that sufficient room for electives remain. Students are expected to show in the field below how the courses in their programme at the entry university cover the all or at least most of the core and advanced courses (preferably including a link to the course description). This has to be approved by the Programme mentor. If their are any uncovered core/advanced courses remaining, please do check them.

Example:
Machine learning techniques KHT (link: www.......) covers 201600070 Machine Learning 1 UT
.......

Profiling space: For the remainder of the 60EC, the student needs to pick at least 15 EC from the following courses (if not spend on remaining core/advanced courses). These courses are specifically suggested for the EIT specialisation “Data Science for Persona Information”. They are course related to topics such as health and sports, wellbeing, biometrics and privacy. Any other course suggested for the profiling space of the Data Science & Technology programme is also allowed.

EC