Computational Neuroscience (M.Sc.)
Humboldt University of Berlin, Germany
Master of Science in Computational Neuroscience
Humboldt University of Berlin
Computational Neuroscience
Program Overview: M.Sc. Computational Neuroscience
The M.Sc. in Computational Neuroscience at Humboldt University of Berlin is an international, interdisciplinary, and strongly research-oriented program organized by the Bernstein Center for Computational Neuroscience Berlin (BCCN Berlin). The degree is jointly awarded by Humboldt-Universitat zu Berlin and Technische Universitat Berlin, with teaching also supported by Freie Universitat Berlin and Charite-Universitatsmedizin Berlin.
This program trains students to bridge the gap between experimental neuroscience and theoretical modeling, equipping them with both advanced mathematical and computational skills and deep neuroscientific knowledge. Students explore topics ranging from neural systems modeling and machine intelligence to data acquisition and analysis of neural activity, preparing them to contribute to one of the fastest-growing scientific fields of the 21st century.
With approximately 15 places offered per year, the program ensures an excellent teacher-to-student ratio and a close-knit academic community. The second year is strongly research-oriented, featuring lab rotations in BCCN Berlin member labs and a master's thesis, with the possibility of completing part of the research abroad.
Key Program Highlights
- Joint degree awarded by Humboldt University and TU Berlin, organized through the renowned BCCN Berlin
- Highly selective program with approximately 15 places per year and an outstanding teacher-to-student ratio
- Access to over 60 research groups spanning single-cell to macroscopic neuroscience levels
- Preparatory courses in mathematics and neurobiology offered before the start of the winter semester
Curriculum and Modules
The program covers 120 ECTS across four semesters. The first year builds a strong foundation in the core fields of computational neuroscience through compulsory modules, while the second year is devoted to research-intensive lab rotations, advanced elective courses, and the master's thesis. Teaching methods include lectures, tutorials, practicals, programming projects, and seminars.
Models of Neural Systems
12 ECTSCovers the relevant basic neurobiological knowledge and theoretical approaches for modeling neural systems. Students learn to choose appropriate theoretical methods and understand the strengths and limitations of different computational models.
Models of Higher Brain Functions
12 ECTSExplores theoretical and experimental aspects of higher-level brain functions, including cognitive processes, perception, and decision-making. Students engage with computational models that describe complex neural phenomena.
Acquisition and Analysis of Neural Data
12 ECTSProvides training in experimental data acquisition techniques and computational methods for analyzing neural data. Students gain hands-on experience with modern neuroscientific measurement and analysis tools.
Machine Intelligence
12 ECTSCovers topics in machine learning and artificial neural networks, providing students with the computational and algorithmic foundations essential for modern neuroscience research and data science applications.
Lab Rotations
18 ECTSThree lab rotations conducted in different BCCN Berlin member labs during the second year. Students develop skills in literature survey, hypothesis formulation, project planning, and scientific documentation. One rotation may be completed in an external lab abroad.
Master's Thesis
20 ECTSAn independent research project completed in the fourth semester, concluded by an oral defense. Students conduct original research under supervision of BCCN-affiliated faculty, contributing to the field of computational neuroscience.
Elective and Advanced Topics
Admission Requirements
The program welcomes applicants from diverse scientific backgrounds who share a strong interest in neuroscience and a solid mathematical foundation. In accordance with its interdisciplinary nature, applications are encouraged from graduates in natural sciences, engineering, mathematics, computer science, physics, biology, psychology, and cognitive science. All applications are processed through Uni4Edu.
Academic Requirements
- Degree RequirementBachelor's degree or equivalent in natural sciences, engineering, mathematics, or a related discipline
- Mathematics PrerequisiteMinimum 24 ECTS in university-level mathematics, including Linear Algebra, Probability Theory, and Statistics
- Programming KnowledgeSome prior programming experience is expected
- Neuroscience BackgroundSome prior knowledge of neuroscience is recommended; preparatory courses are available for admitted students
- Selection ProcessApplications are ranked by a selection committee based on academic record, with particular weight given to mathematics grades
English Language Requirements
- TOEFLMinimum 88 (internet-based), 570 (paper-based), or 230 (computer-based)
- Cambridge CertificateCertificate in Advanced English (CAE), minimum grade C
- Alternative ProofUniCert III (minimum grade 3.0) or proof that previous studies were conducted entirely in English
Required Documents
Application Deadlines
For personalized admission guidance, document verification, and application support, please contact Uni4Edu
Scholarships and Funding
As a public university program in Germany, there are no tuition fees — only a modest semester contribution that includes a public transportation pass for Berlin. Several scholarship opportunities are available for international students to help cover living expenses during their studies.
DAAD Scholarships
Varies by program; typically EUR 934 per month for Master's studentsThe German Academic Exchange Service (DAAD) offers a range of scholarships for international students pursuing graduate studies in Germany. These merit-based awards cover living costs and may include travel and insurance allowances.
Deutschlandstipendium
EUR 300 per monthA national scholarship program co-funded by the German government and private donors, awarded to high-achieving students regardless of nationality. The scholarship is merit-based and does not need to be repaid.
BCCN Berlin DAAD Graduate School Scholarship (GSSP)
EUR 1,300 per month (for doctoral students)The BCCN Berlin has been selected by the DAAD to nominate recipients for the Graduate School Scholarship Program. While primarily for doctoral candidates, outstanding master's graduates continuing to the PhD program may benefit. Contact Uni4Edu for current availability.
For detailed tuition fee information, please contact Uni4Edu — we will guide you through the costs and available funding options for this program.
Career Prospects
Graduates of the M.Sc. in Computational Neuroscience are uniquely positioned at the intersection of neuroscience, data science, and artificial intelligence. The program's strong research orientation and interdisciplinary training prepare students for careers in academia, industry, and the growing biotech and AI sectors. Many alumni continue to PhD programs or transition into high-demand roles in research and technology.
Typical Career Paths
Potential Employers and Sectors
Rankings and Recognition
Humboldt University of Berlin is one of Germany's most prestigious research universities, founded in 1810 and recognized as one of Europe's pioneering higher education institutions. It is part of the Berlin University Alliance, Germany's first and only university consortium of excellence, and consistently ranks among the top universities globally across multiple ranking systems.
| Subject | Ranking Body | Rank |
|---|---|---|
| Neuroscience | BCCN Berlin Accreditation | Accredited until 2028 (unique program in Germany) |
| Natural Sciences | QS World Rankings | Top 150 |
| Life Sciences and Medicine | THE World Rankings | Top 100 |
| Arts and Humanities | QS Subject Rankings | #1 in Germany |
How to Apply
Applying for this program is easy with Uni4Edu. Our team will guide you through every step of the process — from document preparation to final enrolment.
Contact Uni4Edu
Reach out to our team via email or phone. We will assess your profile and confirm your eligibility for this program.
Prepare Your Documents
Our advisors will provide you with a personalised checklist of required documents and help you prepare your application package.
Submit Your Application
Uni4Edu will submit your application on your behalf and keep you updated on its progress throughout the review period.
Receive Your Offer
Once accepted, we will help you understand your offer, arrange visa support if needed, and guide you through the enrolment process.
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