
Discover which biomolecules make the difference between health and disease. Are you interested in unravelling this by using machine learning, sequence analysis, computational models and/or systematic experiments? Then the joint degree Master’s programme in Bioinformatics and Systems Biology at the University of Amsterdam and VU Amsterdam is the programme for you. This interdisciplinary programme combines biology, data science and systems thinking, preparing you to make a real impact in life sciences research.
An excellent international reputation
Great support throughout the programme
You’ll be in high demand
You can choose one of two specialisations
Whether you're driven by a passion for discovery, a love of computational problem-solving, or the desire to contribute to cutting-edge biomedical research, this Master's will challenge and support you at every step. It’s the ideal programme for students who want to push scientific boundaries and stand out.
Bioinformatics
Explore biology through data. Learn how to analyse large-scale molecular datasets, develop algorithms, and apply machine learning to unlock insights in health and disease.
Systems Biology
Understand life as a system. Combine experiments with mathematical modelling to study complex biological networks and predict their behaviour.
During your Master’s programme, you can choose between two different tracks: bioinformatics or systems biology, or choose to do both. Read more about the specialisations, curriculum and supervision on the study programme page.
Bioinformatics and Systems Biology is a joint degree programme of the University of Amsterdam and Vrije Universiteit Amsterdam. Courses are taught at locations of both universities. UvA and VU jointly issue a degree certificate to graduates. As a Bioinformatics and Systems Biology student in Amsterdam you benefit from expertise, networks and research projects at both universities and affiliated research institutes.
As a student, you’ll benefit from the combined expertise, international networks, and collaborative research environment of both institutions.