Recent technological advances have dramatically changed our view on life science research and have turned biology in a data-driven science. It is in this context that bioinformatics, a booming interdisciplinary field, has evolved from a new research domain to a basic discipline in only 15 years. Bioinformatics aims at gaining a better and preferentially more quantitative molecular understanding of cellular processes by integrating and modeling large amounts of molecular data.
Therefore, if ...
you like problem solving through data analysis and data mining,
you are intrigued by understanding and modeling complex biological processes,
you want to make biological discoveries by decoding big data,
you like working in an interdisciplinary environment,
... then bioinformatics is something for you.
As a bioinformatician you will become an interdisciplinary scientist or engineer who can develop or use state-of-the art statistical and computer science techniques to mine molecular data in order to answer fundamental or applied biological and biomedical questions. Ghent University offers an interfaculty Master of Science in Bioinformatics programme, which - depending on the chosen track - can result in an Engineering or Bioscience Engineering degree.
offers a track tuned toward your specific interests and background that prepares you for different job profiles in the bioinformatics domain (respectively bioinformatics scientist and bioinformatics engineer);
offers both theoretical deepening and data analytical/ problem solving skills;
is embedded in a strong bioinformatics and biotechnology research environment, located at the Faculty of Sciences, Medicine, Bioscience Engineering and Engineering and Architecture and is affiliated with the VIB and IMEC.
Master of Science in Bioinformatics: Bioscience Engineering
With a bachelor degree in Biochemistry and Molecular Biology or in Bioscience Engineering, you can decide to become a bioinformatics scientist/bioengineer. A bioinformatics scientists applies (bio)informatics tools and techniques to understand a biological system or to solve an innovative research question. You are trained as a problem solver who can creatively and efficiently combine bioinformatics tools and algorithms to analyse, integrate and model data. Having the essential programming and data analysis skills requires a deep understanding of statistics, programming and data analytical techniques (applied mathematics and informatics module of 21 credits). The applied bioinformatics module (33 credits) will make you familiar with the basic data analytical methods (e.g. NGS analysis), help you to acquire interdisciplinary skill sets and illustrate how theoretical concepts of statistics and data mining are used to build bioinformatics tools.
The difference between the Bioscience Engineering and the Systems Biology track is that the former deepens the engineering skills (Bioscience Engineering track of 23 credits), whereas the Systems Biology track (30 credits) pays more attention to advanced (systems) biological knowledge. The master thesis corresponds to 30 credits and focuses on a research topic. Within your programme, you have to opportunity to do an internship in order to get familiar with the role and expectations of a bioinformatics scientist in the industry or a governmental institution.