International Master’s Programme in Computational Neuroscience
A joint degree programme in computational neuroscience at TU Berlin and HU Berlin, blending theory, experiment, and modelling to advance brain science.
Best for:Best for students with a Bachelor’s in natural sciences, engineering, or mathematics who have a passion for neuroscience, computational modelling, and programming, and seek a research-intensive interdisciplinary Master’s programme.
Overview
This interdisciplinary Master’s programme at Technische Universität Berlin (TU Berlin) and Humboldt-Universität zu Berlin (HU Berlin) focuses on computational neuroscience, integrating mathematical, computational, and experimental approaches to study the brain. Students gain expertise in neural modelling, data analysis, machine learning, and programming while conducting research in cutting-edge labs. The curriculum includes lab rotations, advanced courses, and a research-oriented thesis. The programme is jointly organised by the Bernstein Center for Computational Neuroscience Berlin (BCCN Berlin), offering a unique environment with over 60 research groups across multiple institutions. It is ideal for graduates in natural sciences, engineering, or mathematics with strong quantitative skills.
What you'll do
- Develop and apply theoretical and computational models of neural systems across different scales, from single cells to macroscopic brain functions.
- Conduct experimental work in neuroscience labs, including data acquisition and analysis of neural signals.
- Develop programming skills in advanced languages and apply them to collaborative projects, including specifications, documentation, and testing.
- Participate in lab rotations to gain hands-on research experience in diverse BCCN Berlin labs, including the option to complete one rotation abroad.
- Engage in seminars and advanced courses to deepen knowledge in computational neuroscience, machine intelligence, and ethical implications of neuroscience research.
- Present research findings and collaborate with peers and supervisors to advance interdisciplinary projects.
- Reflect on the societal and ethical implications of computational neuroscience research.
Requirements
Degree required: Bachelor’s degree (or equivalent) in natural sciences, engineering, or mathematics
Degree offered: Master of Science (MSc)
Language: English; B2 proficiency (certified via UNIcert® II, Cambridge English B2 First, TOEIC 880, IELTS 6.5, or TOEFL iBT 87)
Instruction: English
- Sufficient mathematical knowledge, including at least 24 credit points covering linear algebra, analysis/calculus (including dynamical systems), and probability theory and statistics
- Proficiency in English at B2 level or equivalent (certified)
- Basic programming skills (assumed but not explicitly stated)
- Ability to work independently and collaboratively in a research-oriented environment
- No German language skills required
- Open to applicants from all countries
- No age restrictions mentioned
- No prior residency requirements specified
Funding & terms
Programme and admissions
Admissions not verified
A catalogue listing does not mean applications are open or funding is guaranteed. Check the source for your intake.
- Intake
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- Duration
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- Tuition
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How to apply
Deadline: 2024-03-15
Applicants must submit their application through the official BCCN Berlin application portal. Required documents include a CV, proof of English proficiency, academic transcripts, and a statement of purpose. The application process is competitive and requires careful attention to deadlines.
- CV
- Proof of English proficiency (B2 level)
- Bachelor’s degree transcripts and diploma
- Statement of purpose or research interest
- Letters of recommendation (number not specified)
Contact
BCCN Berlin Admissions Office· Admissions Coordinator
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