25 students 

• restricted admission
• restricted admission

• restricted admission

For inclusion in a master's degree is the completion of studies at the Bachelor's level requirement.
The subject-specific entry requirements are set out in the current Aufnahme-/Zulassungsordnung (admission regulations).
It also includes the different deadlines for the provision of evidence.

If proof of German language skills is required: Information on German language skills.

First semester: Basic Courses

MN-F1 / Concepts & Principles of Neurosciences: Functional Neuroanatomy, Cellular & Molecular Neurosciences, Clinical Neurosciences

MN-F2 / Information Processing in the Brain - from Synapses to Networks: Neuronal Networks & Signals, Cognitive Neurophysiology, Structural & Functional Imaging

MN-F3 / Theoretical Neuroscience & Methods: Programming, Theoretical Neurosciences, Statistics and Data Analysis

First semester: Specialization

S1: Computational Neurosiences – MN-S1 / Advanced Programming: Data Analysis & Modeling

S2: Experimental Neurosciences – MN-S2 / Laboratory Animal Science

Second Semester: Complementary Skills und Advanced Studies (students choose three modules): Digital Systems Modeling, Network Modeling and Analysis, Functional MR Imaging, Cognitive Psychology and EEG, Neuro- & Electrophysiology, Fundamentals of Machine Learning, Brain Pattern Recognition, Cognitive Neuroscience, Neuronal Networks, Optogenetics & Neuroscience, Behavioral Pharmacology)

Third Semester: Two Lab Projects

Fourth Semester: Master Thesis und Mind Conference

In the first semester, the basics are taught with a focus on concepts & foundations of neuroscience, information processing in the brain from the synapse to the network, theoretical neuroscience & methods.

This is followed by a specialisation in either Experimental Neuroscience (experimental animal science) or Computational Neuroscience (data analysis and modelling). However, both are also possible.

In the second semester, three modules from the following areas can be selected from a wide range of specialisations according to individual preferences.

Digital Systems Modelling, Network Modelling and Analysis, Functional MR Imaging, Cognitive Psychology and EEG, Neuro- & Electrophysiology, Foundations of Machine Learning, Pattern Recognition in the Brain, Cognitive Neuroscience, Neural Networks, Optogenetics & Neuroscience Methods, Behavioural Pharmacology.

At the MindConference, soft skills are improved and students come into contact with partners from science and industry.

Research in the laboratory follows in the third and fourth semester. The student's own scientific project can be designed and in collaboration with fellow students and internationally recognised experts, the preparation of the Master's thesis follows....

The flexibility of the program makes it possible to choose projects and laboratories that match the skills and specialisation - either in Bremen or at other locations in Germany, Europe and worldwide!

Modern methods that allow the observation of the interaction of many neurons (e.g. calcium imaging, multielectrode recordings, functional imaging)

State-of-the-art methods for modulating neuronal networks (e.g. optogenetics, electrical stimulation, pharmocogenetics, synthetic biology)

Innovative techniques for model-based data analysis and interpretation (deep networks, machine learning, predictive coding, information theory)

Lab-rotations and Master's thesis may be done abroad

• Studienverlaufsplan MA Neurosciences VF [pdf] (108.9 KB)

• of 23.06.2021: DigiPruefO-UB-06-21 [pdf] (68.6 KB)
• of 19.03.2024: AT-MPO-01-22_Lesefassung_berichtigt_automatVerz.pdf [pdf] (481.1 KB)

• of 12.04.2023: MPO-Neurosciences-04-23_berichtigt.pdf [pdf] (197.4 KB)

The interdisciplinary basic studies with the specialisation courses offered in the modules “Advanced Studies I and II” as well as the Master’s thesis prepares students for a diversified occupational spectrum. Natural scientific basics combined with theoretical, methodical, and practical principles (basic elements) in different parts of the neuro-und cognitive sciences enable the graduate to realise multifarious career opportunities. Courses in computing and programming improve the professional chances of the Bremen graduates. The program allows access to neuroscientific basic and clinical research as well as to many industrial sectors (pharmaceutical industry, medical engineering, robotics, production engineering, biotechnology, medical imaging). Thus, universities, research institutes, clinics, and various branches of industry may be considered as potential employers.

• Biology
• Neurosciences

• Functional Neuroanatomy

• Cellular and Molecular Neurosciences

• Clinical Neurosciences

• Neuronal Networks & Signals

• Cognitive Neurophysiology

• Structural & Functional Imaging

• Programming

• Theoretical Neurosciences

• Statistics & Data Analysis

• Data Analysis & Modeling

• Laboratory Animal Science

• Digital Systems Modeling

• Network Modeling & Analysis

• Functional MR Imaging

• Cognitive Psychology and EEG

• Fundamentals of Machine Learning

• Brain Pattern Recognition

• Cognitive Neuroscience

• Neuronal Networks

• Optogenetics & Neuroscience Methods

• Behavioral Pharmacology

8 professors (biology, psychology, physics, informatics)

8 postdocs (biology, psychology, physics, informatics)

Numerous national and international cooperation projects with research Institutes and partners from industry