MSc Neurosciences

Neurosciences are among the most fascinating disciplines of the life sciences and are becoming increasingly important for medicine, digitalization and technology development. They combine concepts and methods from biology, physics, chemistry, informatics, engineering, medicine and psychology. Neuroscience research has a tremendous impact on our society, since it deals with the functioning and malfunctioning of the brain – the organ that governs our thinking, feeling and our behaviour.

Graduates

• are able to understand and apply current neuroscientific research methods from the fields of molecular biology, optogenetics, synthetic biology, electrophysiology, medical electrophysiology, medical imaging and neurophysiology.
• are able to apply methods for measuring neurophysiological data on different time scales (data acquisition) and methods of influencing neuronal activity (neurostimulation).
• can analyse multivariate data (programming, statistics, central concepts of 'machine learning') and concepts of 'machine learning') and interpret biosignals (electrical activities of neurons obtained with calcium imaging or voltage-sensitive fluorescent proteins or the BOLD signal).
• can identify and analyse neuronal circuits via local networks up to the interactions between brain areas.
• can critically analyse ethical questions raised by new methods in Neurosciences
• know information-processing mechanisms of the brain and their pathologies.
• know the connection between systemic properties of the brain and cognitive information processing processes, and recognise cognitive performance and behaviour as a direct consequence of well-defined neural information processing information in the brain.
• can hypothesise about neural mechanisms or systemic correlates underlying cognitive processes, formulate them, operationalise them, formalise them mathematically and thus make them testable.
• can create models of neuronal circuits and networks, and either analyse them mathematically or implement them in a computer simulation.
• can adapt models to physiological data sets (fit).
• can independently plan, carry out and present research projects.
• can communicate research approaches and results in an interdisciplinary environment.
• can successfully collaborate in an interdisciplinary manner (division of labour and data sharing, application/combination of methods from different disciplines).
• can give talks and present posters
• are able to communicate their research in public outreach projects