Computational Neuroscience University of Tübingen

Overview

Computational Neuroscience from University of Tübingen has an explicit ‘research orientation’ with the goal of optimally preparing graduate students for demanding doctoral projects. This goal is achieved by two means: first, by recruiting active researchers as instructors who incorporate state-of-the-art neuroscientific questions and methods in their courses and, secondly, by implementing extensive periods of laboratory training where students engage in current research projects. 

Quick Facts:

• You may choose to spend some time abroad as part of any study program. You should start planning it 12 to 18 months before your departure. 

How is the program structured?

• Semesters 1 + 2 comprise the theoretical parts of the masters training, including the exams at the end of each semester. Course types include lectures, lectures with exercises, journal clubs, tutorials and seminars. In addition, two one-week block practicals will be offered and a retreat in the summer term.
• Semester 3 comprises two rotations (18 weeks total) where students work on small research projects in laboratories of their choice. Students will acquire practical skills in state-of-the-art methods and, furthermore, will get to know current scientific questions and research projects embarked on in Tübingen. Each lab project will be concluded with a written report and an oral presentation of the project in a final seminar. The lab work, together with the written and oral performance, will be marked and makes up a considerable part of the final grade.
• Semester 4 represents a six-months period where students conclude their studies with an experimental masters thesis. After graduation, students may either leave the program with a M.Sc. degree to pursue further studies elsewhere or they may continue with their project and enter the GTC’s doctoral program.