This English-language Master's program brings together teaching and research from biology, engineering, and behavioural and economic sciences to train the next generation of neuroscientists. Delivered by laboratories across three departments and research centres, the two-year curriculum covers core neuroscience principles as well as current research topics, combining classroom learning with hands-on experimental work.
The programme uses a modular structure that allows students to tailor their studies to prior background and research interests. Alongside foundation courses, students choose electives and practical modules that build both theoretical understanding and experimental skills. The degree emphasizes an integrated, interdisciplinary approach, encouraging students to tackle neuroscientific questions using a variety of theoretical and methodological perspectives.
The course begins in October and runs for four semesters following the German academic calendar. After the first semester—focused on fundamentals and research methods—students select a research pathway and specialisations such as computational neuroscience, neural circuits and behaviour, or neurotechnology. The programme is supported by modern neuroscience facilities and is based in Freiburg, a historic university city with lively student life and many leisure opportunities.
This MSc programme combines classroom learning with intensive hands-on research in the University of Freiburg’s internationally recognised neuroscience facilities. You begin with a thorough grounding in the biological and theoretical foundations of brain function, then progress to specialised electives and extended laboratory placements that let you shape a multidisciplinary profile aligned with your interests. The course culminates in a full-time Master’s thesis and oral defence, giving you practice in independent research and scientific communication.
In the first semester you cover core topics such as cellular and system-level organisation of the brain in the lecture and seminar "From Membrane to Brain," together with practical courses in "Physiology and Anatomy of Neuronal Systems" and "Neurophysiology: Measurement and Analysis of Neuronal Activity." These practicals emphasise measuring and analysing neuronal and network physiology and comparative/functional neuroanatomy using rodent and human specimens and models. A separate "Quantitative Methods in Neuroscience" module provides the theoretical concepts and mathematical tools needed for modelling and data analysis.
From the second semester onward you can specialise. All students participate in "Advanced Topics in Neuroscience," a lecture series plus regular journal clubs to discuss current research, while choosing electives such as Computational Neuroscience, Neural Circuits and Behaviour, or Neurotechnology to build a personalised curriculum. The third semester is devoted to deeper practical work via two research internships in different laboratories, each involving a focused research project to explore potential Master's thesis directions. The fourth semester is reserved for completing the Master’s thesis and preparing for the final oral examination.
Key modules
Learning outcomes
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Winter Semester (International)
31 March 2026
Winter Semester (EU/EEA)
31 March 2026
Graduates leave with a strong foundation in both experimental and theoretical neuroscience and practical research experience, making them well prepared for research-focused careers in academia or industry. The programme’s emphasis on quantitative methods and laboratory internships is designed to ease transition into doctoral programmes (PhD) and research positions.
Beyond academia, alumni can pursue roles in neurotechnology and biomedical companies, data analysis and modelling positions, or interdisciplinary research and development teams where a combination of biological insight and quantitative skills is required.