60 https://www.uni-bremen.de/en/mscneuro/study-structure Master Neurosciences, University of Bremen, study program, structure en University of Bremen Sat, 14 Mar 2026 21:13:12 +0100 Sat, 14 Mar 2026 21:13:12 +0100 University of Bremen content-492467 Fri, 06 Mar 2026 10:47:25 +0100 https://www.uni-bremen.de/en/mscneuro/study-structure#c492467 <p><strong>Duration</strong>: 2-year-program</p> <p><strong>Credits per year</strong>: 60</p> <p><strong>Language of instruction</strong>: English</p> <p><strong>Accreditation/ Evaluation</strong>: until September 30, 2030<br /> according to the system accreditation of the University of Bremen by <a class="externalLink" href="https://aaq.ch/en/" target="_blank">AAQ Swiss agency of accreditation and quality assurance.</a></p> Content content-492468 Fri, 06 Mar 2026 10:47:25 +0100 https://www.uni-bremen.de/en/mscneuro/study-structure#c492468 <p><a class="download" href="t3://file?uid=159709" target="_blank" title="Initiates file download">Subject-specific master examination regulations</a> (in English, not legally binding)<br /> <a class="download" href="t3://file?uid=149881" target="_blank" title="Initiates file download">General master examination regulations from January 2022</a>; in German only</p> Content content-493148 Mon, 06 Mar 2023 13:37:04 +0100 https://www.uni-bremen.de/en/mscneuro/study-structure#c493148 <p>Teaching in the Master program Neurosciences is based on the concept of inquiry-based learning and inter-disciplinarity. The training within the programme covers the entire spectrum of neuroscience, with a focus on understanding complex networks of neurons and how these give rise to cognition, emotions and consciousness.</p> <p>The new Master offers a comprehensive and coherent training in the study of the functional principles of neuronal networks using:</p> <ul> <li>state-of-the-art methods that allow the observation of the interaction of many neurons (calcium imaging, multielectrode recordings, functional imaging) and their underlying architectures (structural imaging).</li> <li>state-of-the-art methods for modulating neuronal networks for the causal analysis of cognitive processes and for establishing bidirectional interfaces to the brain (optogenetics, electrical stimulation, pharmacogenetics, synthetic biology).</li> <li>innovative techniques for model-based data analysis and interpretation (deep networks, machine learning, predictive coding, information theory) that go far beyond the standard methods of statistical evaluation in the classical neurosciences.</li> </ul> <p>This linking of experimental approaches and their transfer to application is forward-looking. The training forms an interface between basic neuroscientific research and application-oriented research and distinguishes the Bremen M.Sc. Neurosciences.</p> Content content-492485 Fri, 06 Mar 2026 10:47:25 +0100 https://www.uni-bremen.de/en/mscneuro/study-structure#c492485 <p>(Deputies in brackets)</p> <ul><li>Professors: Prof. Dr. Sami Hassan, Prof. Dr. Meike Rogalla (Prof. Dr. Andreas Kreiter)</li><li>Scientific Staff: Dr. Detlef Wegener (Dr. Udo Ernst, Dr. Felix Putze)</li><li>Students<ul><li>Examination Board: Moritz Schäfer (Janine Grömmer)</li><li>Admission Board: Anita Dymov (Tabea Brüning)</li></ul></li></ul> Content