Education

Do you want to better understand the underlying mechanisms of life? Would you like to contribute to integrating the scientific fields of biology and mathematics in order to open new perspectives for a deeper insight into biology, development of diseases and possibly the development of new therapies? Then Systems Biology is the right programme for you! 

Systems Biology will become the mainstream in biological sciences this century. It can be used to systematically gather knowledge at all levels, from molecules to entire ecosystems and its integration into quantitative (computer) models. These models make accurate simulation of biological processes possible.

This programme will give you the knowledge and practical skills necessary to unravel the complexity of these systems and use it for academic, industrial and societal progress. After you’ve graduated, your ability to unify life sciences and mathematics will make you a great candidate for a career in medical research, drug development and biotechnology.

  • Learning with others is a beautiful experience
    Caroline Collins (Scotland), Systems Biology
  • It seemed like the perfect way to apply my machine learning background with my new-found interest in biology.
    Felix Taschbach (Germany), Systems Biology
  • I think the future of medical research is at the interface of mathematics and biology
    Bart van Sloun (The Netherlands), Systems Biology

Mission of the programme

The mission of the master in Systems Biology is to help you acquire the knowledge and practical skills necessary for unravelling the complexity of biological systems, to bridge biology and mathematics from molecule to ecosystem and to translate and integrate huge and heterogeneous data sets into biologically relevant information and experiments.

Fast Facts
Degree/title: MSc Systems Biology
Language of instruction: English
Duration: 2 years full time
Start month: September

Potential impact of Systems Biology

Systems Biology enables the systematic gathering of knowledge at all levels, from molecules to entire ecosystems and it’s integration into quantitative (computer) models. These models make accurate simulation of biological processes possible. The simulations can be used for generating knowledge about the functioning of living organisms and may allow us to predict the results of interventions within the system: for example with drugs. The societal and economic potential such knowledge is enormous.