Master of Science in Computational Neuroscience
An interdisciplinary Master's programme bridging neuroscience, mathematics, and computer science at the University of Tübingen.
Best for:Best for students with a strong quantitative background in physics, mathematics, or computer science seeking to apply these skills to neural and biomedical research.
Overview
The Master of Science in Computational Neuroscience at the University of Tübingen is a four-semester, full-time programme designed for students with backgrounds in physics, mathematics, computer science, or engineering. The curriculum integrates theoretical training in neural data analysis, machine learning, and systems neuroscience with practical laboratory experience. Students participate in essay and laboratory rotations, culminating in a six-month Master's thesis. The programme is supported by a network of prestigious research institutions, including the Max Planck Institutes, and is designed to prepare students for advanced academic research, ideally leading into PhD studies.
What you'll do
- Complete theoretical coursework in neural data analysis, statistics, and computational modeling during the first two semesters.
- Conduct a seven-week essay rotation to explore specific research topics.
- Execute two ten-week laboratory rotations to gain hands-on experience in diverse research environments.
- Write and defend a six-month Master's thesis based on original research.
- Participate in journal clubs, seminars, and tutorials to engage with current scientific literature.
Requirements
Degree required: Bachelor's degree in physics, mathematics, computer science, bioinformatics, engineering, or a related field.
Degree offered: Master of Science
Language: English; B2 level required (e.g., TOEFL iBT 79, IELTS Academic 6.5, or Cambridge B2 First).
Instruction: English
- Profound knowledge in linear algebra and analysis.
- Competence in statistics and elementary probability theory.
- Programming proficiency in at least one language.
- Strong interest in biomedical and neural science.
- Applicants must hold a first degree in a relevant quantitative or engineering field.
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
- Not confirmed by the source
- Duration
- Not confirmed by the source
- Teaching language
- Not confirmed by the source
- Taught / research mode
- Not confirmed by the source
- Study mode
- Not confirmed by the source
- Campus
- Not confirmed by the source
- Prerequisites
- Not confirmed by the source
- Application instructions
- Not confirmed by the source
- Tuition
- Not confirmed by the source
- Funding
- Not confirmed by the source
How to apply
Deadline: 2027-03-31
Applications must be submitted through the university's official online portal. Prospective students should review the specific admission requirements and application periods on the programme's website before submitting their documents.
- Academic transcripts
- English language proficiency certificate
- Curriculum Vitae
Contact
Create a free profile to unlock your personal match score, the full requirements, funding details and how to apply — in English or Persian.