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Neuroengineering – Master of Science – TU Munich

by | Masters Of Science, TU Munich

Neuroengineering – Master of Science – TU Munich

by | Nov 28, 2023 | Masters Of Science, TU Munich

tu munich masters
tu munich masters


At the Technical University of Munich, the Elite Master of Science program in Neuroengineering integrates experimental and theoretical aspects of neuroscience with comprehensive training in engineering.

This unique program also provides the opportunity for students to earn an optional Research Excellence Certificate, further enhancing their academic and professional profile in this interdisciplinary field.


Course Details

University Technical University of Munich
Degree M.Sc. in Neuroengineering
Subjects Electrical Engineering, Applied Engineering, Technical Health Systems
Language of Instruction English only & German language course
Application Deadlines Winter Semester: 31 Mar/31 May
Duration 2 Years (Starting: Winter Semester)
Tuition Fees Free
Study Mode On Campus
Qualification Requirements Bachelor’s degree in electrical engineering, computer engineering, computer science, biomedical engineering, psychology with an engineering minor or similar
Language Requirements English: IELTS min 6.5, TOEFL iBT min 88, Cambridge C1 Advanced/C2 Proficiency; GMAT score higher than 600 can also be considered
Application Procedure Directly at the University (incl. VPD from uni-assist)
Application Fee The initial application fee is €75, and for every subsequent application, the fee is €30 each.


Admission Documents

  1. Admission Application Form (to be uploaded and signed).
  2. Academic Transcript.
  3. Evidence of Proficiency in English.
  4. Updated and Detailed CV.
  5. Statement of Purpose.
  6. Written Essay.
  7. Analysis of Academic Curriculum.
  8. Course Syllabus (such as module details).
  9. Copy of Passport.
  10. Preliminary Documentation (VPD) for non-EU/EEA Educational Qualifications (applicable if undergraduate degree obtained outside the EU/EEA).

Career opportunities

  1. Biomedical Engineering: Opportunities in developing and improving medical devices and technologies related to brain and neural system functioning, such as neuroprosthetics, brain-machine interfaces, and neural implants.
  2. Research and Development: Roles in research institutions or industry R&D departments, focusing on neurotechnology, computational neuroscience, and related fields.
  3. Healthcare Technology: Careers in the healthcare sector, including work on diagnostic tools, rehabilitation technologies, and assistive devices for neurological disorders.
  4. Academic and Clinical Research: Potential for academic research positions or further studies, such as PhD programs, particularly in fields intersecting with neuroscience, engineering, and data science.
  5. AI and Machine Learning: Positions in AI development, utilizing principles of neuroengineering and neuroscience to enhance machine learning algorithms, particularly in areas like neural networks and cognitive computing.


    Lingo Education Organisation
    Lingo education Organisation