As biological data grows at an unprecedented rate, the ability to analyse, model and interpret complex information has become essential across life sciences, health, agriculture and environmental research. The master’s Bioinformatics and Systems Biology at Wageningen University & Research is a cutting-edge programme that prepares you to use biology, computer science, and quantitative analysis to solve real-world biological problems. Bioinformaticians and Systems Biologists act as the bridge between experimental life sciences and applied computer sciences. Are you ready to build a career at the forefront of data-driven life science innovation?
What will you study during this Master’s?
This programme was developed to cope with the output of genome sequencing initiatives, that result in an ever-increasing amount of data available about DNA, RNA and derived proteins and support systems biology. Bioinformaticians apply information technology to store, retrieve and manipulate these data and employ statistical methods capable of analysing large amounts of biological data to predict gene functions and to demonstrate the relationship between genes and proteins. Besides bioinformatics, students can specialize in systems biology. Bioinformatics and Systems Biology are scientific disciplines with roots in computer science, mathematical modelling, statistics and molecular biology. As larger amounts of data are collected from genes to cells, tissues, organisms and populations, new methods of analysis, modelling, and interpretation are required. If you are passionate about life sciences, data modelling and computer science, this is the programme for you!
Why this programme?
- This master's combines computer science, modelling, statistics, and molecular biology.
- At Wageningen University Bioinformatics and Systems Biology focuses on practical applications in all life science domains
- There is a world-wide lack in trained Bioinformaticians resulting in lists of positions that remain open.
- For your six-month thesis, you can choose to work on a wide variety of bioinformatic or systems tools and analyse data from all biological domains.
