Programme info

You can choose between three majors:

• Computer Networks
• Data Science
• Software Engineering

The programme focuses on Research and Development. In contrast to the Dutch programme equivalent, there are no majors/minors such as Education or Management.

The two years are built out of 4 blocks:

1. Master thesis "30 credits" (compulsory)
2. Elective courses "30 credits"
3. General competences "30 credits" (compulsory)
4. Two research internships "15 credits each" (compulsory)

Download the programme structure

More information on admission and enrollment can be found on this page.

The common theme of the master programme is modelling as applied in all the subdisciplines of computer science. This comprises:

• modelling and simulation of scientific phenomena (e.g. the human genome project, weather prediction)
• interactions between parts of complex machines (e.g. automotive, medical devices)
• understanding the foundations of computer science (e.g. search engines, programming languages, network protocols)

As in all scientific disciplines such models allow us to understand and control our environment, as such allowing us to make predictions about what will happen in critical situations.

The master programme culminates in the master's thesis. The aim of this thesis is for you to show that you are able to (under supervision of a promoter) explore independently a complex subject in a scientific manner and write down the acquired insight into a coherent text.

A computer scientist with academic training should be capable of applying the knowledge and skills acquired through the programme in concrete day-to-day situations. Consequently there is ample room for practical work and - not surprisingly - group work. Former graduates informed us that independence and maturity are strengths of programme.

Besides project work, there is also time for experiments and exercises in the computer lab. We have the necessary technical infrastructure and ensure that it keeps pace with the natural evolution in the field.

We expect students to bring a regular laptop running Linux and/or Windows (MacOS often suffices, but support may be limited). Operating system: Modern medium range GPU. University computing servers will be used for demanding computations.