As Bachelor in Engineering, Mathematics and/or Computer Science, you have the optimal background training to become Master of Science in Bioinformatics: Engineering (120 credits).
This program trains you to become a bioinformatics developer.
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 program, you have the opportunity to do an internship in order to get familiar with the role and expectations of a bioinformatics engineer in the industry or a governmental institution.
For a detailed program outline, see the following link: Engineering
With a Bachelor degree in Biochemistry and Molecular Biology or in Bioscience Engineering, you can decide to become a Master of Science in Bioinformatics: Systems Biology or a Master of Science in Bioinformatics: Bioscience Engineering (120 credits).
In both programs, you are trained to become a bioinformatics scientist.
A bioinformatics scientist 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 that can creatively and efficiently combine bioinformatics tools and algorithms to analyze, 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 generic engineering skills (Bioscience Engineering track of 31 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 program, 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.
For detailed program outlines, see the following links: Systems Biology and Bioscience Engineering
Model trajectory overview