You can choose to follow one of the five recommended study tracks or you can set up your own track with support from the student counsellor. The courses will then depend on your individual choices. At least 30 credits of the courses you choose must be in the field of computational science and at least 30 credits must be in one of the following fields: chemistry, biology, physics, geoscience, computer science or mathematics.

The five different study tracks consist of a package of preselected courses that gives you a specialisation in the specific field and these are:

Numerical and mathematical modelling
Here you get knowledge about how different mathematical models work and how you can compute the solutions with numerical methods.
Computational physics
Here you get knowledge about how to apply computational methods to problems in physics and at the same time you will focus on some area of physics, e.g., fluid dynamics.
Computational chemistry
Here you will get knowledge about how to apply computational methods for mathematical models in chemistry and at the same time you will focus on some area of chemistry, e.g., molecular dynamics.
Computational finance
Here you get knowledge about how to apply computational methods in financial mathematics and at the same time you deepen your knowledge in financial modelling, e.g., in the stock and option market.
Distributed and high-performance computing: You will learn about computational challenges related to scientific applications, the architecture of different computational infrastructures (HPC clusters, clouds and bare-metal resources) and the design and development of large-scale software solutions using both CPUs and GPUs.

Each track has a recommended set of courses but the exact content in each track still depends on your specific background with previous courses and experience and is put together in dialogue with the student counsellor.