Accreditation and verification

The Master’s Degree in Neurotechnology from the Universidad Politécnica de Madrid is registered in the Registry of Universities, Centers and Degrees (RUCT). It is an official degree verified by the Fundación para el Conocimiento madri+D in the year 2024. The latest version of the Verification Report is available.

Quality Assurance System

The Internal Quality Assurance System (SGIC) of the Higher Technical School of Telecommunications Engineers is in charge of managing, in a planned way, the quality of the degrees taught therein; as well as the satisfaction of all the Agents involved.

The reports and studies carried out are available at https://www.etsit.upm.es/escuela/calidad/pac-estudios-e-informes.html

Responsibility, design and procedures of the Quality Assurance System: https://www.etsit.upm.es/escuela/calidad/

Suggestions, Complaints and Congratulations Portal

Following the quality process PR/ES/006 Management of complaints, suggestions and congratulations, any person related to this degree can present their suggestions, complaints and congratulations through the web and receive a response within 15 days.

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Academic year calendar and schedule

Course Schedule MASTER IN SCIENCE IN NEUROTECHNOLOGY Download Relevant dates Monday 2nd September: Start of complementary training classes Thursday 12th September, 16:00h, Classroom TBD: Welcome Day Monday 16th September, 9:00h: Start of classes Monday 30th September, 17:00h, Classroom TBD: Master’s Inaugural session; keynote lecture by guest lecturer Álvaro Pascual Leone

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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, 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 computer engineering, which will constitute the additional entry profile,

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