Bioinformatics

Specialisation of: Computer Science
Degree: Master of Science in Computer Science
Mode of Study: Full-time
Duration: 2 years
Start date: Flexible, for international students preferably September or February
Language of instruction: English
Location: Leiden
Croho/isat code: 60300
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The Bioinformatics track of the MSc in Computer Science integrates concepts and methods from both mathematics and computer science with (molecular) biology and biochemistry.

Programme

The programme consists of a core programme with subjects such as data analysis, pattern recognition, databases and data mining, microscopy, modeling and visualisation. The programme also comprises specialisation courses where students can choose from seven different courses and minor courses with a choice of courses in Life Science, Computer Science and Mathematics. Finally, students conduct a research project and a master’s thesis project.

e-Prospectus Computer Science: Bioinformatics

For more information, please visit the Bioinformatics Leiden – Delft website.

Prof. Kok

“The computer is becoming increasingly invisible but consequently more powerful.”

“Computer science is a relatively new field where there is still a lot to be achieved. I am fascinated by computers: in writing software you really are creating something. That’s a powerful feeling. In addition, as a computer scientist, the world is your oyster and you have access to an extensive range of different working environments.

Leiden offers students four unique research clusters: Algorithms, Computer Systems, Imagery & Media and Foundations of Software Technology. I believe that this broad structure is what makes our master’s so attractive. We distinguish ourselves from other programmes as a result of our fundamental approach and because we not only focus on technology, but also on the application of computer science in such environments as the insurance industry, supermarkets and hospitals.

There are many opportunities inherent in computer science – the pace of technological developments based on computer science is very rapid – but some things are not possible and never will be possible. You can’t write a programme, for example, that monitors whether other programmes ever stop. Computer science has a number of these fundamental limitations and I find it interesting that my field addresses these issues.

I believe that people are not sufficiently aware how much computer science has penetrated their everyday lives. And this trend will continue. I have high expectations of grid computing: the computer is becoming increasingly invisible but consequently more powerful. Computer science will enter your home, like electricity, and organise everything for you.”