Computational Neuroscience
The Master of Science in Computational Neuroscience is an advanced graduate program offered by Humboldt University Berlin in cooperation with TU Berlin. Designed for students with a background in neuroscience, biology, mathematics, or related fields, the program provides an interdisciplinary approach to understanding brain function through computational modeling, data analysis, and theoretical neuroscience. The program is structured across four semesters and admits students exclusively in the winter semester.
Located in Berlin, a leading hub for neuroscience research, this master’s program emphasizes both theoretical foundations and practical applications. Students gain hands-on experience with computational tools, neural data analysis, and modeling techniques, preparing them for careers in research, academia, data science, neurotechnology, and biomedical industries. Taught primarily in English and available for full-time or part-time study, the program offers a rigorous and internationally oriented education at the intersection of neuroscience and computation.
Key information
Key Facts
- Degree: Master of Science (M.Sc.) in Computational Neuroscience
- Standard period of study: 4 semesters
- Location: Berlin
- Study Type: Graduate (full-time or part-time, international)
- Admission semester: Winter semester only
- Area of study: Neuroscience, Computational Neuroscience
- Admission modus: Local admission restriction
- Main language: English
Program Structure
Semester 1 – Foundations of Computational Neuroscience
- Introduction to Neuroscience and Neural Systems
- Mathematical Methods for Neuroscience
- Programming for Computational Modeling
- Data Analysis and Statistics
Semester 2 – Advanced Computational Techniques
- Neural Network Modeling
- Neuroinformatics and Data Management
- Systems Neuroscience
- Computational Methods for Signal Processing
Semester 3 – Specialization & Research Skills
- Cognitive and Behavioral Modeling
- Advanced Neural Simulation Techniques
- Seminar in Computational Neuroscience Research
- Interdisciplinary Research Project
Semester 4 – Master’s Thesis & Final Project
- Independent Research Thesis
- Computational or Experimental Project
- Presentation and Defense
- Portfolio Development
Career Opportunities
Graduates of the Master of Science in Computational Neuroscience program are prepared for careers in academic research, neurotechnology, biomedical industries, data science, and artificial intelligence applications. Career paths include computational neuroscientist, neural data analyst, research scientist, AI and machine learning specialist, and doctoral researcher. With Berlin’s strong research infrastructure and collaborations with TU Berlin and Bernstein Center for Computational Neuroscience, students gain excellent opportunities to engage in cutting-edge projects and international research networks.
Why Choose This Program
Choosing the Master of Science in Computational Neuroscience at Humboldt University Berlin provides a unique interdisciplinary education at the intersection of neuroscience, mathematics, and computer science. The program offers access to renowned faculty, advanced computational facilities, and collaborative research environments, fostering both theoretical understanding and practical expertise.
Its strength lies in combining computational modeling with experimental neuroscience, equipping graduates with the skills to tackle complex brain research questions and pursue leadership roles in research, industry, or further doctoral studies.
Contact Information
Humboldt University Berlin – Student Advisory Service
Compass / Studienberatung
Unter den Linden 6
10117 Berlin, Germany
Tel: +49 30 2093-70333
Fax: +49 30 2093-70292
Email: studienberatung@hu-berlin.de
Bernstein Center for Computational Neuroscience – Programme Contact
Philippstr. 13, Haus 6
10115 Berlin, Germany
Tel: +49 30 2093-9110
Email: info@bccn-berlin.de
Contact Person: Margret Franke
International Office – Humboldt University Berlin
Abt. VI Internationales
Unter den Linden 6
10117 Berlin, Germany
Tel: +49 30 2093-0
Fax: +49 30 2093-46702
Email: international-department@hu-berlin.de
