Computational Neuroscience

The Graduate School of Neural Information Processing covers theoretical and computational aspects of neuroscience, a field of research that has become increasingly important in recent years. The course schedule is specifically research-oriented with the goal of optimally preparing graduate students for demanding doctoral projects. This goal is achieved by recruiting active researchers as instructors who incorporate state-of-the-art neuroscientific questions and by implementing extensive periods of laboratory training where students engage in current research projects. The same is true for the experimental Master’s thesis of 6 months, which often serves as a ‘seed crystal’ for a subsequent doctoral dissertation.

In short, this program offers a unique curriculum and exciting research opportunities for graduate students who wish to pursue careers in neuroscience. The course will give students a broad expertise and the chance to break new scientific ground.

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