Computational Neuroscience
The Master of Science in Computational Neuroscience is a prestigious international graduate program offered by Eberhard Karls University of Tübingen. Designed for students seeking to deepen their understanding of the brain through quantitative and computational approaches, this full-time program spans four semesters and admits students exclusively in the winter semester. It combines academic excellence with hands-on research, providing an interdisciplinary education at the intersection of neurobiology, computer science, and mathematics. Taught entirely in English, the program covers key areas such as neural data analysis, computational modeling, machine learning for neuroscience, and brain-computer interfaces, ensuring students gain both theoretical insight and practical expertise.
Located in Tübingen, one of Europe’s leading centers for neuroscience and artificial intelligence, the program benefits from close collaboration with renowned institutions such as the Centre for Integrative Neuroscience (CIN), the Bernstein Centre for Computational Neuroscience (BCCN), and the Max Planck Institute for Intelligent Systems. Through its strong research orientation and focus on innovation, the master’s degree in Computational Neuroscience prepares graduates for advanced academic and professional careers in neuroscience, neurotechnology, data science, and AI-driven research worldwide.
Key information
Key Facts
- Degree: Master of Science (M.Sc.)
- Standard period of study: 4 semesters
- Location: Tübingen
- Study type: Graduate (full-time, international)
- Admission semester: Winter semester only
- Area of study: Neuropsychology, Computer Science, Bioinformatics, Artificial Intelligence
- Admission modus: Local admission restriction
- Main language: English
Program Structure
Semester 1 – Foundations of Computational Neuroscience
- Mathematics, Statistics, and Programming
- Introduction to Neurobiology and Systems Neuroscience
- Neural Data Analysis and Models of Neural Coding
- Seminar: Scientific Methods and Research Design
Semester 2 – Computational and Theoretical Modeling
- Computational Motor Control and Vision
- Machine Learning for Neuroscience
- Neuroinformatics and Data Processing
- Laboratory Rotation I
Semester 3 – Advanced Systems and Applications
- Brain-Computer Interfaces and Rehabilitation Robotics
- Physical and Physiological Basis of Neural Recordings
- Theoretical Neuroscience and Neural Dynamics
- Laboratory Rotation II (Research Project)
Semester 4 – Master’s Thesis & Research Presentation
- Independent Research Thesis in Computational Neuroscience
- Data Analysis and Publication Writing
- Final Presentation and Oral Defense
Career Opportunities
Graduates of the Master of Science in Computational Neuroscience program are equipped for diverse research and professional roles at the intersection of neuroscience, computer science, and artificial intelligence. Career paths include computational neuroscientist, data scientist, neuroinformatics specialist, AI researcher, biomedical engineer, and machine learning expert. Alumni often pursue careers in academic research institutes, neurotechnology companies, pharmaceutical and medical industries, or AI-driven research centers. With Tübingen’s renowned neuroscience and AI ecosystem, students benefit from strong connections to institutions such as the Centre for Integrative Neuroscience (CIN), the Bernstein Centre for Computational Neuroscience (BCCN), and the Max Planck Institute for Intelligent Systems, providing outstanding opportunities for scientific collaboration and professional development.
Why Choose This Program
Choosing the Master of Science in Computational Neuroscience means joining a world-class program that integrates theoretical understanding with practical research experience. Offered by Eberhard Karls University of Tübingen, one of Germany’s leading research universities, the program provides access to cutting-edge laboratories, interdisciplinary collaboration, and mentorship from internationally recognized scientists.
The program’s distinctive strength lies in its research-oriented curriculum, focus on data-driven neuroscience, and integration of machine learning and neuroinformatics. Students not only gain deep scientific and technical knowledge but also develop the analytical and problem-solving skills needed to excel in the rapidly advancing fields of neuroscience, AI, and cognitive research.
Contact Information
Eberhard Karls University Tübingen – Student Advisory Service
Wilhelmstraße 11
72074 Tübingen, Germany
Tel: +49 7071 29-72555
Fax: +49 7071 29-4259
Email: zsb@uni-tuebingen.de
Graduate Training Centre of Neuroscience – Programme Contact
Österbergstraße 3
72074 Tübingen, Germany
Tel: +49 7071 29-77179
Fax: +49 7071 29-5089
Email: neuro.office@uni-tuebingen.de
International Office – Eberhard Karls University Tübingen
Wilhelmstraße 9
72074 Tübingen, Germany
Tel: +49 7071 29-77780
Fax: +49 7071 29-5404
Email: international.office@uni-tuebingen.de
