Harnessing the Power Of Data and Models to Study Life
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 analyze the multitude of biological 'big data' that originate from observations and experiments investigating the 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 behavior. Therefore both bioinformatics and biocomplexity research is 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.
Interdisciplinary Program
This Master's program will bring together the intricate worlds of biology, computer, and data sciences. Our program 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.
Hence we can offer a wide variety of internships and projects, allowing the choice of a favored research topic, which can be in a medical research area, for example in cancer genomics, or a more fundamental area such as modeling of complex biological systems.
This Master’s program also encompasses the (sub)domains of Computational Biology, Systems Biology, and Computational Life Sciences.
Tailor Your Own Program
This Master's program will be a deep dive in bioinformatics data analysis, modeling, 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.
Data Sciences and this Master’s Program
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.
