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Technical University Berlin


Computational Neuroscience

Subjects: Computational Neuroscience,Neuroscience,Science

M.Sc. | Master of Science

⏳  Duration
4 Semesters
🔠 Teaching Language
💶  Application Fee non-EU
No information

💶  Cost per Semester
290 EUR

💶  Tuition Fees per Semester
No information
⏱️ Application Deadline Summer
No information

⏱️ Application Deadline Winter

Course description

Computational neuroscience is a burgeoning field within neuroscience, drawing on theoretical approaches from mathematics, physics, computer science, and engineering to unravel the complexities of the brain. This discipline integrates experiments, data analysis, and modeling, creating a universal scientific language that bridges neurobiology, cognitive science, and information technology. By addressing well-known research questions, computational neuroscience contributes to improved prevention and treatment strategies for neurological diseases. It fosters unified concepts of biological processes, advances information technologies, and enhances human-machine interactions. Additionally, it offers fresh insights for designing effective teaching and learning strategies. This field's interdisciplinary nature and practical applications make it a vital area of study, promising significant advancements in understanding and manipulating brain functions.

Program Information

Study Location Berlin
Start Semester Winter
Study Form Part-time
Study Type Postgraduate
Teaching Language English
Dual No
Remote No
Application Fee non-EU No information
Study Length 4 Semesters
Tuition Fees per Semester No information
Cost per Semester 290 EUR
Step 2 - Check Application Requirements
⏱️ Application Start Summer
No information

⏱️ Application Deadline Summer
No information
⏱️ Application Start Winter

⏱️ Application Deadline Winter

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Application Requirements

Language Requirements

Cambridge (CAE) No information

proficiency in English above B.2 level - non-native speakers should document this with: TOEFL test (570 pts paper-based, 230 pts computer-based, or 88 pts internet-based) Cambridge Certificate of English: Advanced (CAE, min. grade C), IELTS with at least band 6.5, TOEIC with a minimum of 785 points (395 points in each section) 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)

Qualification 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,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).

Document Requirements

Applications must include a letter of motivation. Additional qualifications such as professional experience, commitment to social issues, publications, participation in extracurricular events, language skills, and IT skills can be included in the letter of motivation.

Application Process

Acceptance Interview No
Acceptance local admission restrictions Restricted
Application directly at the University
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