The Computational Life Science program offers a tailor-made curriculum comprising lectures, seminars and laboratory trainings. Courses cover foundational as well as advanced topics and methods. The program is composed of six modules over four semesters (two years).
1. CORE 1 - Foundations of Computational Life Science (20 ECTS Credit Points)
This module equips students with a common methodological ground and provides an introduction to the topics of the program. Included courses:
- Introduction to Computational Life Science 1
- Introduction to Computational Life Science 2
- Computational Life Science Colloquium
2. CORE 2 - Electives and Remedial Courses (15 ECTS credit points)
This module allows students to either make up for missing academic prerequisites or to strengthen their knowledge in specific areas of Computational Life Science.
3. CORE 3 - Advanced Topics and Applications (20 ECTS credit points)
In this module, students take courses in two of the four specialization areas listed below.
- Computational Systems Biology, Computational Physics and Biophysics
- Bioinformatics and RNA Biology, Imaging and Modeling in Medicine
- Ecological Modeling and Theoretical Biology
- Applied Mathematics and Numerical Methods
4. CAREER - Skills and Languages (15 ECTS credit points)
In this module, students select language courses and other courses preparing them for their professional career.
5. RESEARCH 1 - Lab Rotations (20 ECTS credit points)
In this module, students take two lab rotations in research groups of their choice.
6. RESEARCH 2 - Master’s Thesis (30 ECTS credit points)
In the fourth semester, students conduct research and write a master’s thesis guided and supported by their academic supervisor.
For more details on the curriculum please download the program handbook below.