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Overview
Students who have completed the Computational Neuroscience programme from Humboldt University Berlin will have the ability to communicate across these diverse disciplines which will help them to make their own contribution to the fast growing field of neuroscience.
Key facts:
Neuroscience is one of the most intensively developing and important sciences of the 21st century. Understanding the functioning of the brain requires the collaborative efforts of neurobiologists, neuropsychologists, cognitive scientists, medical researchers, computer scientists, mathematicians, physicists and engineers
Accreditation
The International Master Program in Computational Neuroscience is accredited by the ASIIN agency
Get more details
Visit official programme websiteProgramme Structure
Courses include:- Models of Neural Systems
- Models of Higher Brain Functions
- Acquisition and Analysis of Neural Data
- Machine Intelligence
- Programming Course and Project
Key information
Duration
- Full-time
- 24 months
Start dates & application deadlines
- Starting
- Apply before
-
Language
English
Credits
60 ECTS
Delivered
On Campus
Disciplines
Neuroscience Computer Sciences View 87 other Masters in Computer Sciences in GermanyAcademic requirements
We are not aware of any academic requirements for this programme.
English requirements
TOEFL® IBT The TOEFL iBT® is given online through the internet at designated testing site. The test measures your English-language abilities in an academic setting. The score refers to the total score of 4 subjects (writing, listening, speaking, and reading), each subject has a range of 0 - 30. 88
IELTS The International English Language Test System (IELTS) tests your English-language proficiency on a scale of 1 – 9. The score refers to the combined average score of 4 subjects (writing, listening, speaking, and reading). 6.5
Other requirements
General requirements
- a Bachelor or equivalent certificate ("erster Berufsqualifizierender Abschluss", e.g. German Diplom but not Vor-Diplom), typically in the natural sciences, in an engineering discipline, or in mathematics,
- proficiency in English
- sufficient mathematical knowledge (i.e. at least 24 credit points according to the ECTS) particularly in linear algebra (at least 6 credit points), analysis [including dynamical systems] (at least 6 credit poins), probability theory and statistics (at least 6 credit points).
Tuition Fee
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.
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Due for update
Updated over a year ago
Check the official programme website for potential updates.