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Module Types

Types of Modules

Background Modules

Provide background knowledge on a neuroscientific topic. Courses for 8-20 students are organized in full-time blocks of 2-7 weeks and usually consist of lecture, seminar and hands-on practical parts.

List of all M.Sc. Neuroscience Modules: Module Overview 2020/2021

  • Biological Foundations of Neuroscience (6 ECTS)
  • Introduction Development & Evolution (6 ECTS)
  • Lab Exercises in Development and Evolution (6 ECTS)
  • Molecular Genetics and Cell Biology (12 ECTS)
  • Introduction to Neurophysics (6 ECTS)
  • Computational Neuroscience - Introduction (12 ECTS)
  • Biochemical concepts in signal transduction (12 ECTS)
  • Neurosensory Science and Behaviour  (9 ECTS)
  • Neurocognition & Psychopharmacology (6 ECTS)
  • Research Techniques in Neuroscience (6 ECTS)
  • Visual Neuroscience - Physiology & Anatomy (12 ECTS)
  • Visual Neuroscience - Anatomy (6 ECTS)
  • Computational Neuroscience – Statistical Learning (6 ECTS)
  • Biophysics of Sensory Reception (6 ECTS)
  • Neuroprosthetics (6 ECTS)
  • Auditory Neuroscience (6 ECTS) 
  • Psychophysics of Hearing (12 ECTS)
  • Functional MRI data analysis (12 ECTS)
  • Invertebrate Neuroscience (6 ECTS)
  • Neural Computation in Intervetrates (6 ECTS)

Research Modules

Are individual student research projects (each 15 ECTS) in the supervisor’s lab. The aim is to practice independent research, including experiments, background literature and presentation of results. Lab time lasts 6-7 weeks.

List of all M.Sc. Neuroscience Research Projects: Research Projects Overview 2020/2021

  • Navigation mechanisms in nocturnal bird migration
  • Ophthalmology – Molecular and cellular mechanisms in regenerative Medicine
  • Human Genetics - Exploration of rare monogenic brain malformations in children using high-throughput and classical sequencing techniques
  • Human Genetics - Developing therapies to treat splice defect
  • Human Genetics - Mutation identification, pathogenic mechanisms and therapy development
  • Human Genetics - Severe diseases of the cilium: signal transduction and treatment options
  • Human Genetics - Transcriptome and Exome analyses in neuronal and neurosensory diseases
  • Animal Physiology & Behaviour: Auditory perception studies
  • Animal Physiology & Behaviour: Modeling the auditory system
  • Biochemistry: Protein function in neurosensory systems
  • Cochlea and auditory brainstem physiology: Evolutionary auditory neuroscience
  • Cochlear and auditory brainstem physiology: Developmental neurobiology and evolution
  • Computational Neuroscience: Invertebrate somatosensory system
  • Computational Neuroscience: Modeling & data analysis
  • Neurogenetics - Structure-function analyses of the potassium chloride cotransporter KCC2
  • Neurogenetics - Evolution of the auditory system
  • Neurogenetics - Analysis of mouse models for deafness
  • Visual neuroscience – Retinal Anatomy
  • Visual neuroscience - physiology / data analysis
  • Visual neuroscience - Molecular mechanisms and cellular networks involved in signal transduction in the vertebrate retina
  • Visual neuroscience - Molecular and cellular basis of regeneration in the peripheral nervous system
  • Neurosensorics - Vertebrate retina: Immunohistochemistry, intracellular dye injections, microscopy and image analysis
  • Anatomy - Molecular and cellular mechanisms of neuronal differentiation
  • Computational Audition - Statistical data analysis
  • Neurocognition and functional neurorehabilitation


Skills Modules 

Professional skills are developed in courses for up to 24 students.

  • Neuroscientific Data Analysis in Matlab (6 ECTS)
  • Communicating Neuroscience (3 ECTS)
  • Biowissenschaften in der gesellschaftlichen Debatte [Biosciences in the public eye and in our laws] (6 ECTS)
  • Laboratory Animal Science (6 ECTS)
  • Introduction to Data Analysis with Python (6 ECTS)
  • Scientific English (6 ECTS)
  • Introduction to Matlab (3 ECTS)
  • International Meeting Contribution (3 ECTS)
  • Statistical Programming in R (6 ECTS)
  • Molecular Mechanisms of Aging (6 ECTS)
  • Basics of Statistical Data Analysis (6 ECTS)



After approval by the program director, 30 CP (one semester) can be chosen from: 

  • All courses of the M.Sc. Neuroscience curriculum
  • From related Master programs, e.g. Biology, Neurocognitive Psychology, Audiology, Computer Science
  • Up to one semester at an international university 

Many Neuroscience modules contain shared course components with the Master’s programs Biology and / or Neurocognitive Psychology. 


(Changed: 2021-04-16)