MSc in Computational Biomedicine
DURATION
2 Years
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
01 Mar 2025*
EARLIEST START DATE
01 Sep 2025
TUITION FEES
Request tuition fees
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 01.02.2025
* for full degree students from the Nordic countries or from the EU/EEA countries and Switzerland; 6,640 EUR per semester for students with a non-EU/EEA-citizenship or non-Swiss-citizenship
Introduction
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.
Admissions
Gallery
Career Opportunities
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.
Program Admission Requirements
Show your commitment and readiness for Grad school by taking the GRE - the most broadly accepted exam for graduate programs internationally.