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: Engineering
With a bachelor degree in Engineering or Computer Science, you have the optimal background to become a bioinformatics engineer.
As bioinformatics engineer, you are skilled in developing new algorithms and complex software implementations, primarily focusing on, but equally applicable outside the bioinformatics domain. You will follow a module of ‘biologically oriented’ courses (9 credits) that will provide you with the basic domain knowledge to understand a data-driven biological problem. However, the major part of your curriculum (engineering module of 42 credits) will focus on advanced engineering and computer science techniques that elaborate on an already advanced knowledge obtained during your bachelor. The applied bioinformatics module (33 credits) will make you familiar with the data specificities of the bioinformatics domain (preprocessing techniques, noise and potential biases, assumptions etc.) and allow you to acquire the essential interdisciplinary skill set that is needed to be successful in modern science and engineering. The master thesis corresponds to 30 credits and focuses on a research topic. Within your programme, you have the opportunity to do an internship in order to become familiar with the role and expectations of a bioinformatics engineer in the industry or a governmental institution.