The Computational Life Science (CompLife) Graduate Program offers intensive training in foundations and advanced methods through carefully designed lectures, computer labs, and seminars. A two-semester lecture series gives an introductory overview into methods and research fields. Two lab rotations (in the second and third semester) ensure practical training of research methods and are performed in two different research groups. Students then select one of these labs for their MSc thesis. Students can specialize their course selection in the research directions offered by the involved faculty and their research groups and range as wide as: Computational Systems Biology Computational Neuroscience Ecological Modeling Bioinformatics Mathematical Modeling of Medical Processes Applied Mathematics Medical Imaging Computational Physics and Biophysics Students typically select courses in two areas from the list above, one area of interest has to be selected during the application process. In addition, the individual course selection can be complemented by graduate lectures from several areas as offered on campus, and third year undergraduate lectures are available in addition to streamline for knowledge gaps due to individual background from undergraduate studies.

Students who graduate from CompLife with an MSc (or qualifying examination) are fully prepared and qualified to pursue research work towards a PhD. While a PhD is usually the condition for a high-level scientific position, MSc graduates can find employment worldwide in industry or government institutions, or proceed to an additional higher degree. CompLife offers students excellent opportunities for research as documented in several publications co-authored by students from CompLife.