Program Structure

The Master’s Degree in Neurotechnology by the UPM is a new and innovative degree, unique at this time in the map of degrees at the institutional, national and international level.

The distribution of credits in the proposed degree is as follows:

Mandatory ECTS credits:36
Optional ECTS credits:0
External academic internships ECTS credits:6
Master’s thesis ECTS credits:18
Additional training ECTS credits:0
Total ECTS credits:60

Summary of the Syllabus

The curriculum has a semester structure. All subjects will be taught in English.

1st semester

ECTS: 30

2nd semester

ECTS: 30

Neuroethics (NRET, 3 ECTS)

Seminars (SEMN, 3 ECTS)

Neuroscience (NRCN, 6 ECTS)

Neurodevices (NRDS, 6 ECTS)

Artificial Intelligence in Neurotechnology (IANT, 6 ECTS)

Neurosignals and Neuroimaging (NRSI, 6 ECTS)

Neuroprosthetics (NPTS, 6 ECTS)

Interships (PAE, 6 ECTS)

Master’s Thesis (TFM, 18 ECTS)

Syllabus with detailed subject information– PDF

Other information

Academic year calendar and schedule

Course Schedule  2025-26 MASTER OF SCIENCE IN NEUROTECHNOLOGY   Download Course Calendar 2025-26 Relevant dates: 25 March 2026: Deadline to register the Master´s Thesis for defence in 2025-26. 25 June 2026: Deadline to submit the Master´s Thesis for defence in July 2026. 8-17 July 2026: Period of Master´s Thesis defence.

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Professors and Learning centers

The MUNEUROTEC Master takes advantage of the heterogeneous research force of the UPM, with the participation of specialists from different schools. The teaching center responsible for the program is the Faculty of Telecommunication Engineering. The Faculty of Computer Engineering and the Faculty of Civil Engineering have participated in the creation

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Admission Criteria

The Master’s Degree in Neurotechnology at the UPM is aimed at graduates in biomedical engineering (240 ECTS, equivalent to 4 years of undergraduate studies), which will be the recommended entry profile. In addition, graduates in other branches of engineering, such as telecommunication engineering, industrial and automatic engineering, data engineering, or

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