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UC3M - Double Master Degree in Telecommunications Engineering and Machine Learning for Health

  • Masters
  • Programs
  • UC3M - Double Master Degree in Telecommunications Engineering and Machine Learning for Health

Graduate School of Engineering and Basic Sciences

Imagen presentación del máster
Direction
TELECOMMUNICATIONS: Prof. José Manuel Sánchez Pena, / INFORMATION HEALTH ENG.: Prof. Vanessa Gómez Verdejo
Language
Spanish, English
Attendance
On-campus
Credits
120
Campus
Leganes, Madrid - Puerta de Toledo
Applications

 Open 

Departments
Electronic Technology Department, , Telematic Engineering Department, Bioengineering Department

CONTACT

Click here and make your query

 

APPLICATION FOR ADMISSION

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  • CURRICULUM

    STRUCTURE

    The Double Master's Degree Curriculum is structured around two academic years in which you will take 72 ECTS from the Master's Degree in Telecommunications Engineering and 48 ECTS from the Master's Degree in Machine Learning for Health.

    The 120 total credits from the dual curriculum is broken down as follows:

    • In the first year, students take subjects for the Master's Degree in Telecommunications Engineering (30 ECTS in each semester). Each semester you will take five core subjects of 6 ECTS each.
    • During the second year of teaching, you will take specialty subjects in Machine Learning for Health (9 compulsory ECTS and 30 elective ECTS), and the 2 Master's Thesis corresponding to each master's degree.

    You will have 30 validated ECTS credits, and on completion you receive two Official Master's Degree qualifications.

    Year 1 - Semester 1

    Master in Telecommunications Engineering
    SubjectsECTSTYPELanguage
    6CSpanish
    6CSpanish
    6CSpanish English
    6CSpanish English
    6CSpanish English

    Year 1 - Semester 2

    Master in Telecommunications Engineering
    SubjectsECTSTYPELanguage
    6CSpanish
    6CSpanish English
    6CSpanish English
    6CSpanish English
    6CSpanish English

    Year 2 - Semester 1

    Master in Machine Learning for Health
    SubjectsECTSTYPELanguage
    6CEnglish
    Methods and tools for computational intelligence
    (Choose 2)
    6EEnglish
    6EEnglish
    6EEnglish
    6EEnglish
    Master in Telecommunications Engineering
    SubjectsECTSTYPELanguage
    Master Thesis
    12TFMvacio

    Year 2 - Semester 2

    Master in Machine Learning for Health
    SubjectsECTSTYPELanguage
    Machine learning for health*
    (Choose at least 6 ECTS)
    3EEnglish
    3EEnglish
    3EEnglish
    6EEnglish
    3EEnglish
    Medical imaging and computer vision*
    (Choose at least 6 ECTS)
    6EEnglish
    3EEnglish
    3EEnglish
    6EEnglish
    Research methods
    3CEnglish
    Master Thesis
    9TFMvacio

    * A total of 18 elective ECTS must be completed, choosing a minimum of 6 ECTS among the subjects indicated.
     

    C) Compulsory

    E) Elective

    TFM) Master's Thesis

    course Programs

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  • ADMISSION
    • ADMISSION

      Application

      The request must be submitted electronically through our application system. Before beginning the admission process, please read the following information:

      Requirements

      Check the requirements of the Master in Telecommunications Engineering.

      Check the requirements of the Master in Machine Learning for Health.
       

      Admission criteria

      Check the admission criteria of the Master in Telecommunications Engineering.

      Check the admission criteria of the Master in Machine Learning for Health.

      Language requirements

      Check the general language requirements required to study a Master’s at UC3M, depending on whether it is in Spanish, English or bilingual.

      STUDENTS with foreign university degrees

      Check the requirements of the Master in Telecommunications Engineering for students with foreign university degrees.

      Check the requirements of the Master in Machine Learning for Health for students with foreign university degrees.

      Important

      The admission process is carried out by the commission of each master independently and therefore, to access the double degree, it is necessary to have been previously admitted in both master's degrees

    • ENROLLMENT

      TUITION FEES*

      DOUBLE MASTER's DEGREE IN Telecommunications Engineering AND MACHINE LEARNING FOR HEALTH
      Reservation fee1 €900
      Price EU students €32.22 / ECTS
      Price Non EU students €119.44 / ECTS
      Credits enrolling 120 ECTS
      Credits that are recognized (without cost)2 Telecommunications Engineering 18 ECTS
      Credits that are recognized (without cost)2 Machine Learning for Health 12 ECTS

      Admission to the double master's program implies payment of the reservation fee within 10 calendar days of receiving notification of admission (this amount will be deducted from the first tuition payment). The reservation fee will only be refunded if the master program is cancelled. [+] information
       

      ✎│Tuition fees
       

      NOTE: the indicated public prices do not include in any case, neither the ECTS corresponding to the Formative Complements that the student must take (only master's degrees with previous Formative Complements), nor the cost of issuing the master’s degree certificate.
       

       IMPORTANT 

      2 Admission and registration on the double master's degree course will provide exemption from ECTS credits which will be recognized according to the curriculum (see Program). Having obtained credits from both syllabuses, together with recognition of 30 ECTS you will be able to obtain two official master's qualifications in little more than a year and a half.

      ☛ Enrollment completely registers the student in the Master's Degree.

      ☛ A minimum enrollment of 25 students will have to be reached for each elective subject to be taught.

      _______

      * Current fees for the 24/25 academic year, pending approval by the Community of Madrid for the 25/26 academic year.

      Additional information

      • You may enrol on the master’s degree after completing the admission process and receiving formal confirmation of your acceptance.
      • When performing the enrolment you can choose between Full-time enrolment or Part-time enrolment.
      • The email address provided upon enrolment will be used for formal communications; students are therefore kindly requested to check their mail regularly.
      • Pursuant to the regulations of the ÌìÃÀ´«Ã½, a student failing to pay any part of the fees will not be admitted and the enrolment process will be terminated. In cases of cancellation of enrolment due to non-payment, the University may demand the payment of the pending amounts for enrolment in previous academic courses as a prior condition of enrolment.
        No diploma or certificate will be issued if a student has any outstanding payments.

      ✎│Enrolment master’s programmes

      ✎│ECTS credits recognition

  • PRACTICAL INFORMATION

    titulo cabecera para sección horario del master

    MASTER’S COURSE SCHEDULE

     (2024/25 academic year)

     (2025/26 academic year)
     

    titulo cabecera para sección secretaría virtual

    VIRTUAL SECRETARIAT

     (Higher Polytechnic School)

     (Leganés)

    titulo cabecera para seccion recursos materiales del máeter

    MATERIAL RESOURCES OF THE PROGRAMME

    titulo cabecera para sección quejas, reclamaciones y sugerencias

    complaints and suggestions

    General Registry Office

     

    icono cabecera para sección empleo y practicas

    Employability

    Access to Employment and internships

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