Neural Engineering (MSc)

Neural Engineering is an emerging interdisciplinary field that merges neuroscience and engineering to understand, interface with, and manipulate the nervous system. Applications include neuroergonomic human-machine-interaction systems, brain-computer interfaces, active neuroimplants, neurocognitive and affective modelling, and neuro-inspired artificial intelligence systems.

Academic requirements

Applicants should have excellent grades and a sound background in engineering science. Basic knowledge of anatomy and physiology of the nervous system is recommended. Interest in research-oriented projects is presumed. All our courses are taught as a block.

Minimum GPA

No fixed minimum GPA is published on the current official programme page.

English requirements

English (B2 level)

Accepted bachelor fields

Biomedical Engineering, Electrical Engineering, Mechanical Engineering, Computer Science and related fields

APS Certificate

Yes

Tuition fee

None

Semester contribution

364 EUR for the 2025/2026 winter semester

ECTS credits

90

Funding info

Tuition: None Semester contribution: 364 EUR for the 2025/2026 winter semester

The Neural Engineering course qualifies our graduates for demanding industrial R&D positions, e.g. in the development of nerve stimulators, diagnostic devices or active implants. Other emerging occupational fields encompass neuroergonomics (e.g. automotive branch) and neurocybernetics (collaborative robotics) applications, as well as the development of tailor-made applications in neurorehabilitation. A considerable percentage of our Master’s graduates seek to pursue an academic career path and start a doctorate programme.

• 1

  Biomedical Sciences (MSc)

  Hochschule Bonn-Rhein-Sieg

  Rheinbach · Master of Science · English

• 2

  Cellular & Molecular Neuroscience

  University of Tübingen

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• 3

  Biomedical Engineering (MSc)

  RheinMain University of Applied Sciences

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• 4

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• 5

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