Science, technology and computation are the foundations onto which engineers in Neuro-X build their expertise. Their multidisciplinary profile complements the fundamental skills of engineers and medical-domain specialists by a strong technological component, making them not only highly demanded and valued professionals in neurotechnology, but also preparing them for research in neuroscience-related fields. 

© Blue Brain Project/EPFL 2005-2020

Program’s objectives

This Master’s program aims at providing students from various backgrounds with a broad and universal training in:

  • foundations of neuroscience
  • computational neuroscience
  • neuroengineering

The breadth of  the above core courses enables students that graduate from the program to work for clinical applications,  product development, fundamental or translational research, either with an experimental or information-technology oriented bend.

The study program is complemented by several projects in research labs as well as a large choice of  in-depth courses in areas such as

  • technology
  • data science and machine learning
  • imaging and image analysis
  • scientific thinking

Thanks to their interdisciplinary profile, graduates have the opportunity to become future leaders, start-up managers, or innovative health professionals in the industry (MedTech, pharmaceutical companies or health care), in hospitals and in research in general. Their ability to see the big picture in terms of systems combined with a realistic perspective of what it means to develop a product makes them highly esteemed professionals able to interact with experts from many other domains.

Simplified study plan

Please note that the information regarding programs’ structure as well as the simplified study plans may be subject to change and that they are not legally binding. Only the official regulations and study plans are binding.

Admission criteria

EPFL Bachelor’s degree in Life Sciences Engineering, Microengineering, Electrical and Electronic Engineering or Communication Systems, or from another institution with an excellent academic record.

Candidates must have strong quantitative and analytical skills, as well as a solid background in sciences (mathematics, physics, chemistry). Prior knowledge in technology (electrical engineering, material, instrumentation, computer sciences), or  biosciences (biology, medical physiology) is a plus but not a formal requirement.

Further information about admission criteria

Teaching language


Diploma and title obtained

Upon completion of their Master’s curricula, students obtain an EPFL Master of Science MSc in Neuro-X. The diploma also gives graduates the right to use the title of EPF qualified Engineer in Neuro-X.

Online application


To learn more about this program, please use the following contacts:

[email protected]

+41 21 693 97 74

AA B108

Station 15

1015 Lausanne, Suisse

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