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Computer-based methods for modelling, simulation and statistics play a fundamental role in modern science and health research, along with databases and bioinformatics.

The Master's degree programme in Computational biomedicine at SDU has a focus towards applied computational projects associated with the health sector and the biotech and pharmaceutical industries.

Biological data science and the analysis of ‘big data’ in biomedicine are rapidly evolving and expanding fields aimed at elucidating biological and biomedical challenges by detailed analysis of datasets using computer algorithms, databases and statistical tools.

Computational biomedicine thereby contributes to our understanding of complex biological processes in health and disease. The goal is to reveal novel features of complex biological and biomedical datasets, for example experimental data obtained by genomics, proteomics or imaging analysis of human cells or tissues. Such features include novel disease genes, mutations, protein-protein interactions, biomarkers for the early detection and diagnosis of disease or monitoring of propagation of disease and effects of treatment at population level.

The Computational biomedicine programme introduces you to biochemistry, bioinformatics, biological data science and programming techniques, and also covers introductory and advanced statistics and R programming. Supervised and unsupervised data mining techniques, including Deep Learning and Artificial Intelligence, constitute a major part of the curriculum. Protein structure/function modelling provides fundamental tools for the investigation of molecular structures and interactions. Considerations and strategies for designing observational and clinical studies are covered by epidemiologists. In addition, you can choose from a number of elective courses and specialise in your favourite research area.

Read more about career opportunities here.

That is why you should study...

  • You will learn how to develop the robot technology of the future
  • You will have good career opportunities
  • You will learn to develop innovative solutions to specific problems