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Computational Biomedicine

Master

How is Computational Biomedicine structured?

Computational Biomedicine is studied over 2 years, and each academic year is divided into 2 semesters. The programme is taught entirely in English and combines life sciences with data science, giving you a strong interdisciplinary foundation. You will study subjects such as biostatistics, bioinformatics, programming, and project management. Teaching takes place in small groups and is highly practice-oriented.

Through elective courses, you can tailor the programme to your academic interests – for example, by completing a company project or spending a semester abroad. The programme concludes with a master’s thesis, where you explore a topic you are passionate about. Throughout your studies, theory and practice are closely linked, preparing you for a career at the intersection of life sciences and technology.

The diagramme below gives you an overview of the course of study. On small screens it works best in landscape mode.

A typical week

In a typical week, you will spend 15-20 hours on classes and another 20-25 hours on independent study activities and group woek. Your schedule may vary from week to week and teaching activities may be scheduled on weekdays in the hours between 8 and 18.

Monday
Tuesday
Wednesday
Thursday
Friday



8-10
Biostatistics in R I (group class)

10-noon
Biostatistics in R I (common class)
10-noon
Introduction til bioinformatics (common class)
10-11
Introduction to programming (common class)
10-noon
Introduction to programming (group class)
Noon-14
Introduction to bioinformatics (common class)
Noon-13
Introduction to programming (common class)
Noon-14
Introduction to bioinformatics (group class)






 
16-18
Biostatistics in R I (common class)

The programme regulations are the legal foundation of the programme. They describe the rules applying to the programme, including the admission requirements, the programme structure, the qualifications you will achieve, and a summary of the general rules applying to all students.

As a student, you are responsible for keeping up to date with the programme regulations, which may be revised once every year – any changes typically come into effect on 1 September.

See the programme regulations on MySDU

A course description is a detailed description of a course, in which you can read about the aim and contents of the course, teaching methods, the expected workload and the form of the exam.

The Master’s degree programme in Computational Biomedicine includes the opportunity to complete a company project during the 2nd semester.

A company project is a well-defined project, which is done on part-time in a company or organisation, and which has a scope of 10 ECTS. A company project places demands on learning on par with other courses at the university.

There is both an SDU supervisor and a company supervisor associated with the project, which must take a specific problem as its starting point.

Company projects are always unpaid.

On the 2nd year of the programme, you will work on your Master’s Thesis project, which has a scope of 60 ECTS.

You will typically be affiliated with your supervisor’s research group at the Department of Biochemistry and Molecular Biology, who will be able to counsel and guide you in your literature search and your collection and processing of research data.

Academic culture in Denmark

Danish academic culture is characterised by active participation in class, group work and critical thinking. Rather than simply accumulating and reproducing knowledge, you will be expected to analyse, question and discuss the course topics.

The relationship between lecturers and students is often rather informal; students and lecturers may find themselves joking together and engaging in vigorous debates during classes and lectures.

Studerende på Syddansk Universitet