Computational Neuroscience

Computational Neuroscience, neural data analysis and models of neural coding and computation, physical and physiological basis of neural recordings and brain imaging, computational motor control and computational vision, rehabilitation robotics and brain computer interfaces, systems neuroscience and neurophysiology, basic mechanisms of learning and memory, mathematics, statistics and programming, machine learning for neuroscience, theoretical neuroscience, behaviour and cognition.

Target audience: This MSc 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 and technical applications. Profound knowledge in maths (linear algebra, analysis), statistics, elementary probability theory, and programming skills in at least one language are compulsory.

Applicants must provide proof of their English skills. (TOEFL, IELTS,…)

Want to improve your English level for admission?
Prepare for the program requirements with English Online by the British Council.

• Flexible study schedule
• Experienced teachers
• Certificate upon completion

📘 Recommended for students with an IELTS level of 6.0 or below.

Enroll in the course

Special features

The Graduate School of Neural Information Processing provides a research-oriented training. The curriculum includes two internships of 7 and 9 weeks, where students have the opportunity to get in contact with the research groups at the BCCN Tübingen, the MPI for Biological Cybernetics, the MPI for intelligent Systems, the Natural and Medical Science Institute (NMI), the Center for Integrative Neuroscience (CIN), the Hertie Institute for Clinical Brain Research and the University of Tübingen (Faculty of Medicine and Faculty of Science).

Scholarships are available for excellent international students.

Professional fields

The graduate program of Neural Information Processing offers a unique curriculum and exciting research opportunities for graduate students who wish to pursue careers in neuroscience in science and academia. The integrated curriculum offered in this program will give students a broad expertise that is not easily achievable in any individual department.

PhD options

After the masters program students have the opportunity to continue directly with their doctoral thesis and enter the doctoral Program for neural Information Processing.