Overview
Key facts
Computational Neuroscience offered by TU Berlin University uses theoretical approaches from a variety of disciplines including mathematics, physics, computer science and engineering to understand the brain. Computational neuroscience integrates experiments, 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.
Programme Structure
Courses include:
- Models of Neuronal Systems
- Models of Higher Brain Functions
- Acquisition and Analysis of Neural Data
- Machine Intelligence
- Programming Course and Project
- Individual Studies
Key information
Duration
- Full-time
- 24 months
Start dates & application deadlines
- Starting
- Apply before
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Language
Credits
Delivered
Disciplines
Neuroscience Computer Sciences Human Computer Interaction View 32 other Masters in Neuroscience in GermanyAcademic requirements
We are not aware of any academic requirements for this programme.
English requirements
Other requirements
General requirements
- a bachelor’s or equivalent certificate qualifying applicants for professional work, e.g. German Diplom but not Vor-Diplom), typically in the natural sciences, in an engineering discipline, or in mathematics,
- proficiency in English above B.2 level - non-native speakers should document this with:
- Cambridge Certificate of English: Advanced (CAE, min. grade C),
- UniCert III (min. grade 3,0)
- or an equivalent certificate like e.g. proof that your previous studies were conducted in an international program with English as the official language (a simple interview is not sufficient)
- sufficient mathematical knowledge (i.e. at least 24 credit points according to the ECTS) particularly in linear algebra (at least 6 credit points), analysis/calculus [including dynamical systems] (at least 6 credit points), probability theory and statistics (at least 6 credit points).
Tuition Fee
-
International
FreeTuition FeeBased on the tuition of 0 EUR per year during 24 months. -
EU/EEA
FreeTuition FeeBased on the tuition of 0 EUR per year during 24 months.
- €307.54 - semester fees
Living costs for Berlin
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.