Bioinformatics and Biocomplexity

Life is one of the most complex systems to study, as it encompasses a multitude of interacting levels. Bioinformatics is used to analyse the multitude of biological 'big data' that originate from observations and experiments investigating living matter. Biocomplexity researchers develop mathematical and computational models to simulate these processes and thereby unravel the building blocks and interactions responsible for the observed dynamic behaviour. Therefore both bioinformatics and biocomplexity research are core to research in the life sciences, making it a very interdisciplinary trade.

This Master's programme will be a deep-dive in bioinformatic data analysis, modelling and simulating biocomplexity. In two years, you will learn the theoretical basis and fundamental techniques relevant for bioinformatics and/or biocomplexity. Additionally you will learn to apply, modify and redevelop these methods to answer complex biological research questions. We will use state of the art research directly from our community as the basis for our lectures, assignments and internships.