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Neuroscience and Neuroengineering● OpenMastersPreview

Master in Neuro-X

An interdisciplinary Master's program bridging neuroscience, computational methods, and neuroengineering at EPFL.

Best for:Best for students with diverse academic backgrounds seeking an interdisciplinary education in neuroscience, neuroengineering, and computational data analysis.

Ecole Polytechnique Fédérale de Lausanne · Switzerland · R1 · First-stage researcher
More professors at Ecole Polytechnique Fédérale de Lausanne
NeuroscienceComputational NeuroscienceNeuroengineeringData ScienceMachine LearningMedical Technology
This is a masters position — not a PhD studentship.
Deadline
December 15, March 31
Funding
—
Start date
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Location
Switzerland

Overview

The Master in Neuro-X at Ecole Polytechnique Fédérale de Lausanne provides students with rigorous training spanning the foundations of neuroscience, computational neuroscience, and neuroengineering. The curriculum equips participants to tackle challenges in clinical applications, medical technology, product development, and translational research. Students complement their coursework with practical laboratory projects and specialized electives in data science, imaging, and modern technologies. Graduates emerge as interdisciplinary professionals prepared for leadership roles in healthcare, industry, and academic research.

Neuro-XBrain-Computer InterfacesNeuroimagingTranslational ResearchBiomedical Engineering

What you'll do

  • Complete rigorous core coursework in neuroscience, computational neuroscience, and neuroengineering
  • Engage in hands-on research projects within academic laboratories
  • Complete specialized elective courses in technology, machine learning, and image analysis
  • Develop systems-level perspectives for clinical and industrial product development applications
  • Fulfill the 120 ECTS credit requirements for the Master of Science degree

Requirements

Degree required: Bachelor's degree or equivalent in a relevant field

Degree offered: Master of Science in Neuro-X

Language: English

Instruction: English

Required skills
  • Foundational background in exact sciences, natural sciences, IT, or life sciences
  • Quantitative reasoning and analytical problem-solving abilities
  • Capacity for interdisciplinary collaboration across engineering and biological domains
Nice to have
Prior coursework or experience in programming or data scienceFamiliarity with machine learning concepts or image analysis techniquesPrevious exposure to laboratory research or project development

Funding & terms

Type
Unknown
Amount
—
Duration
—
Programme
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Programme and admissions

Admissions not verified

A catalogue listing does not mean applications are open or funding is guaranteed. Check the source for your intake.

Intake
Not confirmed by the source
Duration
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Teaching language
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Taught / research mode
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Study mode
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Campus
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Prerequisites
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Application instructions
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Tuition
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Funding
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How to apply

Deadline: December 15, March 31

Applicants must submit their application through the official EPFL master's admission portal by the specified deadlines. Ensure all required academic transcripts and supporting materials are uploaded correctly according to university guidelines.

Documents required
  • BSc transcripts
  • Degree certificate
  • CV
  • Motivation letter
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Check admissions, intake and funding with the official source; a listing does not mean applications are open.