How is Computational Biomedicine structured?
The master's programme in Computational Biomedicine is studied over 2 years, and each academic year is divided into 2 semesters. There are opportunities for exchange stays and company projects during the programme, which combines bioscience with data science. Along the way, you delve into disciplines such as biostatistics, programming, epidemiological methods, and project planning.
In the semester overview below, you can see the structure of the programme in tabular form. On small screens, the overview is best viewed in landscape format.
Choices and options
During the 2nd and 3rd semesters of the programme, you have the opportunity to shape your academic direction through a total of 25 ECTS electives. This provides you with a strong foundation to delve into the subject areas that interest you the most. Here, you also have the opportunity to work closely with a company in a company project.
The 4th semester of the programme is dedicated to the thesis. Here, you can explore a topic you are particularly interested in – either interdisciplinary, in-depth research, or through collaboration with a company, where you contribute to solving real-world challenges.
A typical week
Below is an example of what a class schedule might look like for a student in the first semester of the master’s programme in Computational Biomedicine. Class times and workload may vary from week to week, and as a rule, classes can be scheduled on weekdays between 8:15 AM and 6:00 PM.
Monday |
Tuesday |
Wednesday |
Thursday |
Friday |
|---|---|---|---|---|
8:00 AM - 10:00 AMIntroduction to bioinformatics[group class] |
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10:00 AM - 12:00 PMIntroduction to bioinformatics[common class] |
10:00 AM - 12:00 PMIntroduction to programming[common class] |
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12:00 PM - 2:00 PMBiostatistics in R I[common class] |
12:00 PM - 2:00 PMIntroduction to bioinformatics[group class] |
12:00 PM - 2:00 PMBiostatistics in R I[common class] |
12:00 PM - 2:00 PMIntroduction to Bioinformatics[group class] |
|
2:00 PM - 4:00 PMBiostatistics in R I[group class] |
2:00 PM - 4:00 PMIntroduction to bioinformatics[group classes] |
2:00 PM - 4:00 PMIntroduction to programming[computer lab exercise] |