Computational Neuroscience, M.Sc. at Technical University Berlin

Academic Requirements:

All students who are interested in neuroscience and have a strong mathematical background are welcome to apply. In accordance with the interdisciplinary nature of computational neuroscience, the program encourages applications from students from diverse disciplines such as natural sciences, engineering, or mathematics.

The following is required for an application:

• a bachelor’s or equivalent certificate qualifying applicants for professional work, e.g. German Diplom but not Vor-Diplom), typically in the natural sciences, in an engineering discipline, or in mathematics,
• proficiency in English above B.2 level
• or an equivalent certificate like e.g. proof that your previous studies were conducted in an international program with English as the official language (a simple interview is not sufficient)
• sufficient mathematical knowledge (i.e. at least 24 credit points according to the ECTS) particularly in linear algebra (at least 6 credit points), analysis/calculus [including dynamical systems] (at least 6 credit points), probability theory and statistics (at least 6 credit points).

The following is recommended but not compulsory for students applying for the program:

• Some prior knowledge of neuroscience. If you don't have any prior knowledge, be prepared to read at least the introductory chapters of E. Kandel et al. 'Principles of Neural Science'.
• Some prior programming knowledge.