For admittance to the master’s program applicants need to fulfill the following admission requirements:
Bachelor’s degree in Psychology, Neuroscience, Cognitive Science, Physics, Biology, Computer Science, passing grades on both sections of the licensing examination for physicians (Ärztliche Prüfung) or equivalent other university degree comprising at least six semesters of study of psychology.
Proof of English language skills (CEFR Level C1) for applicants whose native language is other than English and who did not earn their university entrance degree at an institution where English is the language of instruction.
The admission is limited.
Students do not pay tuition fees, but the university charges semester fees and contributions each semester, which include a ticket for public transportation.
The M.Sc. program provides students with thorough theoretical knowledge and broad methodological competencies in the field of social, cognitive, and affective neuroscience. On the one hand, this entails teaching of background knowledge in a variety of domains, such as perception, learning, memory, decision making, empathy, and language, with a particular emphasis on current research and developments. On the other hand, this entails teaching and applied learning of a large array of methodological skills, including planning and programming of neurocognitive experiments, conducting experiments using functional magnetic resonance imaging (fMRI), electroencephalography (EEG), transcranial magnetic stimulation (TMS), and near-infrared spectroscopy (NIRS), and the statistical analysis of experimental data.
|Modul||Neurocognitive Methods and Programming|
|Modul||Cognitive Neuroscience A|
|Modul||Cognitive Neuroscience B|
|Modul||Affective and Social Neuroscience|
|Modul||Developmental and Evolutionary Neuroscience|
|Modul||Clinical Social, Cognitive and Affective Neuroscience|
|Modul||Neurocognitive Methods Practical|
The theoretical and methodological skills for analyzing and predicting the neurocognitive foundations of behaviour qualify students for research-related employment in both private and public sector organizations and academia. Students acquire a broad set of transferable skills, such as foundations in applied programming, statistical analysis, and presentation and report writing.