University of Southern Denmark
MSc in Computational Biomedicine
Odense, Denmark
MSc
DURATION
2 years
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
01 Mar 2026*
EARLIEST START DATE
01 Sep 2026
TUITION FEES
EUR 17,300 / per year **
STUDY FORMAT
On-Campus
* * for EU/EEA and Swiss citizens and applicants holding a Danish residence permit I for non-EU/EEA citizens without a current residence permit deadline is 01.02.2026
** for full degree students from the Nordic countries or from the EU/EEA countries and Switzerland
Key Summary
About: MSc in Computational Biomedicine teaches applied computational methods for health, biotech, and pharma. The programme is two years and includes a conversion class in programming or biochemistry / molecular biology assigned by your background. Shared courses with SDU Masters foster an interdisciplinary environment with dual natural and health sciences faculties.
Career Outcomes: Graduates enter bioinformatics, clinical data science, medical technology, drug discovery, programming and data analysis, and machine learning / AI; they work in consultancies, patent agencies, finance, or academic and health research. Modeling and statistical skills support these careers. PhD students are funded by scholarships from universities or companies.
The Master's degree program in Computational biomedicine at SDU has a focus on applied computational projects associated with the health sector and the biotech and pharmaceutical industries.
The Master's degree program in Computational biomedicine has a standard duration of two years.
The Master's degree program in Computational biomedicine contains a conversion class in programming or biochemistry and molecular biology. You will be assigned to one of these conversion classes based on your scientific and educational background.
Several courses in the Computational biomedicine program are also part of other Master's degree programs at SDU, e.g. Biochemistry and molecular biology, Biomedicine, and Computer science, which fosters an interdisciplinary study environment and opportunities for networking.
A unique feature of the Computational biomedicine program at SDU is the interdisciplinary and dual faculty structure of the program, which covers both natural and health sciences.
Career perspectives
A Master's degree in Computational biomedicine leads to exciting job opportunities in many areas of biology, biomedicine, clinical medicine and biotechnology, and in related fields.
There is a growing demand for graduates who are fully versed in the use of computers and special software in the biological and biomedical fields.
In addition, graduates' skills within the modeling of complex dynamic systems and their knowledge of statistical methods also provide career opportunities in consultancies, patent agencies, and in some cases also in the banking sector.
Possible career opportunities include the following:
- Bioinformatics and biological data science
- Clinical data science and disease
- Medical technology
- Drug discovery and formulation
- Programming and Data Analysis
- Machine learning / artificial intelligence in biological data science
- Finance and banking data analysis
- Teaching and education
- Academic research or health science research
A career in academic research requires a Ph.D. degree. A Ph.D. student is usually paid through a scholarship from a university, a foundation, or a collaboration with a company.