Master in Computational Neuroscience

The MSc in Computational Neuroscience at the University of Tübingen covers the intersection of neuroscience and computation. Courses address neural data analysis, models of neural coding and computation, physical and physiological bases of neural recordings and brain imaging, computational motor control, computational vision, rehabilitation robotics, brain-computer interfaces, systems neuroscience, neurophysiology, learning and memory, mathematics, statistics, programming, machine learning for neuroscience, theoretical neuroscience, and behaviour and cognition. The programme runs over 4 semesters, starting in the winter semester. The first two semesters are devoted to coursework in lectures, seminars, tutorials, and journal clubs, with examinations at the end of each semester. The third and fourth semesters are allocated to a seven-week essay rotation, a ten-week lab rotation, and a six-month Master's thesis, all conducted in labs chosen by students. The programme is aimed at students with a first degree in physics, mathematics, computer science, bioinformatics, engineering, or a related field who have a strong interest in biomedical and neural science. The programme is offered at the University of Tübingen in Tübingen, Germany.