International Master's Programme in Computational Neuroscience

Technische Universität Berlin · Berlin, Germany

Level
Master's
Award
Master of Science
Language
English
Duration
4 semesters
Study mode
Full-time
Campus
Berlin
Apply by
Register by 15 March 2027
Starts
Winter semester

Technische Universität Berlin does not publish a fee for this programme on its own. Its published rate for master's programmes is €0 a year for international students.

Entry requirements and how to apply

Entry requirements
Bachelor's degree (or equivalent) in natural sciences, engineering or mathematics Sufficient mathematical knowledge (at least 24 credit points) particularly in linear algebra (at least six credit points), analysis/calculus – including dynamical systems (at least six credit points), probability theory and statistics (at least six credit points) Proficiency in English: see the language requirements below.
English language requirement
B2 required, please provide an official language certificate, e.g.: UNIcert® English: UNIcert® II Cambridge English Qualifications: B2 First TOEIC: 880 Reading: 430 Listening: 450 Speaking: 180 Writing: 170 IELTS Academic: 6.5 TOEFL iBT (before 2026): 87
German language requirement
No minimum language level required
Application period
The following is valid for applicants from: all countries For the winter semester: until 15 March
Apply through
Please check this website .

About this programme

Computational Neuroscience is a fast-growing discipline within the exciting field of neuroscience. It uses theoretical approaches from a variety of disciplines including mathematics, physics, computer science and engineering to understand the brain. Computational Neuroscience integrates experiment, data analysis and modelling. Furthermore, it makes a scientific language available that can be used across disciplines and levels for neurobiology, cognitive science and information technology. Computational Neuroscience may thus help to solve long-standing research questions, contribute to better prevention and treatment strategies for neural disorders, lead to unified concepts about biological processes, advance information technologies and human-machine interactions and, last but not least, provide new insight for designing efficient strategies for teaching and learning. Structure of the programme Within the first year of the programme, students are individually brought to a high level of competence in the basic fields of the programme. The second year is strongly research-oriented, including lab rotations and the Master's thesis. The BCCN Berlin also offers preparatory courses in mathematics and neurobiology for admitted students, which take place from September to October before the beginning of the winter semester. Joint Degree This is a joint degree programme of the TU Berlin and the HU Berlin, organised by the BCCN Berlin. Teaching takes place at HU Berlin (BCCN Berlin, Cam

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