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What will I learn?


Life is one of the most complex systems to study as it encompasses a multitude of interacting levels. These scale from the interacting atoms to the essential molecules, genes and proteins up to the interactions between cells, tissues, organisms and between organisms and their environment. In addition to this, living systems are typically spatially structured and very dynamic.

Examples are the propagation of nerve pulses along axons, and the intricate patterning processes occurring during multicellular development. 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.

Bioinformaticians and biocomplexity scientists can be found in many different laboratories, such as in the hospital to discover novel genes that cause a particular disease. Or, at research institutes and companies that study novel drug targets, explore ecological models or improve crop yield.


This Master's programme will bring together the intricate worlds of biology, computer and data sciences. Our programme is broad and interdisciplinary and involves the input from many Utrecht faculties and research institutes such as the Faculty of Science, the Hubrecht Institute, University Medical Centre Utrecht and the Princess Máxima Center for Pediatric Oncology (for more information, see Utrecht Bioinformatics Center).

This Master’s programme also encompasses the (sub)domains of Computational Biology, Systems Biology and Computational Life Sciences.


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.


Big data can be found almost everywhere, from banks to insurance companies. Also, bioinformatics and biocomplexity deal with big data. As such, there are similarities in general techniques like programming or machine learning that do not depend on domain-specific knowledge. On the other hand, answering the grand questions in biology - without exception - requires a solid understanding of a particular biology discipline, in addition to the analytical methods.

As a consequence, many of the techniques that are used in bioinformatics or biocomplexity, for example, in next-generation sequencing or in determining the evolutionary history of cells and organisms require highly specific classes of algorithms. These algorithms often differ from those used in (applied) data sciences, and their proper application and further development require domain-specific biological knowledge.

Which department am I in?

Faculty of Science

Study options

Full Time (2 years)

Tuition fees
Information not available
Start date

Expected September 2022


Utrecht University

Heidelberglaan 8,

Utrecht Science Park / De Uithof,


3584, Netherlands

Entry requirements

For students from United States

MSc Track: Knowledge/ competence in the field of European law and a bachelor degree in Economics or sufficient knowledge of economics including knowledge/competence in the fields of: Microeconomics; Mathematics; Industrial organization and Competition Policy; Corporate Finance; Econometrics or Advanced Statistics. English language requirements: IELTS, Academic Module. Minimum score: 7.0 overall band, at least 6.0 for all components. TOEFL, iBT. Minimum score: 96, at least 23 for writing and 20 for the other sections. Cambridge Certificate in Advanced English, at least a B grade. Cambridge Certificate of Proficiency in English, at least a C grade.

For international students

Applicants are expected to hold one of the following degrees:

  • A BSc degree in Life Sciences (Biology, Molecular Life Sciences, Biomedical Sciences, Pharmacy) or an equivalent qualification
  • A BSc degree in Natural Sciences or Liberal Arts & Sciences with a science profile and proven interest in Biology

Other English language requirements: Cambridge Certificate in Advanced English, at least a B grade; Cambridge Certificate of Proficiency in English, at least a C grade.

*There may be different IELTS requirements depending on your chosen course.


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