The Bernstein Center for Computational Neuroscience (BCCN) Göttingen hosts a graduate program in "Theoretical and Computational Neuroscience" (PTCN). This PhD program is part of the Göttingen Graduate Center for Neurosciences, Biophysics, and Molecular Biosciences (GGNB) and is conducted jointly by the University of Göttingen, the Max Planck Institute for Biophysical Chemistry, the Max Planck Institute for Dynamics and Self-Organization, the German Primate Center, and the European Neuroscience Institute Göttingen.

Understanding the computational capabilities of neural systems requires a unique mix of theoretical, computational and biological skills that were in the past distributed across different disciplines, mainly biology, physics, computer science, psychology, and medicine. Our PhD program is designed to bring these different fields together thus creating a new generation of scientists that are equally at home with the thoroughly quantitative and mathematical mode of thought of the exact sciences and with the complexities of real nervous systems.

To cover the interdisciplinary nature of this program we welcome national and international students with backgrounds in physics, chemistry, biology, psychology, computer science, medicine, and mathematics. Teaching language is English. After an initial period of course work students complete a PhD by research in their chosen field. The computational neuroscience community in Göttingen is offering innovative courses in Theoretical and Computational Neuroscience. These include lectures in neural networks and theoretical neuroscience, seminars and practical courses on topics in theoretical neuroscience, and an annual advanced summer school in computational neuroscience. PTCN extends these offers and shapes them into a comprehensive and interdisciplinary curriculum.

The members of the BCCN Göttingen offer a varity of lectures and seminars at the BSc and MSc levels for the following programs: Physics, Mathematics, Applied Computer Science, Applied Data Science, Neuroscience, Psychology and Material Science. For more information on the differnt courses please visit the catalogue of modules .