UC3M - Double Master's Degree in Telecommunications Engineering and Machine Learning for Health
Graduate School of Engineering and Basic Sciences
- Direction
- TELECOMMUNICATIONS: Prof. Eva Rajo Iglesias, / MACHINE LEARNING HEALTH: Prof. Vanessa Gómez Verdejo
- Language
- Spanish, English
- Attendance
- On-campus
- Credits
- 120
- Campus
- Leganes, Madrid - Puerta de Toledo
- Applications
-
CLOSED
- Departments
- Electronic Technology Department, Signal and Communications Theory Department, Telematic Engineering Department, Bioengineering Department
CONTACT
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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 Subjects ECTS TYPE Language Design and Operation of Communication Networks 6 C 
Advanced Multimedia Services 6 C Electronic Circuit Design for Communication 6 C 
Radio Frequency and Antenna Subsystems 6 C Data Processing 6 C Year 1 - Semester 2
Master in Telecommunications Engineering Subjects ECTS TYPE Language Design of Telematics Applications 6 C Electronic Instrumentation and Optoelectronics 6 C Design and Simulation of Communication Systems 6 C Advanced Techniques in Signal Processing and Communications 6 C Project Management and Telecommunications Policy 6 C Year 2 - Semester 1
Master in Machine Learning for Health Subjects ECTS TYPE Language Core Courses Biosignals & Bioimages 6 C Methods and tools for computational intelligence
(Choose 2)Deep Learning 6 E Biomedical Image Processing 6 E Optimization 6 E Master in Telecommunications Engineering Subjects ECTS TYPE Language Master Thesis Master's Thesis. Telecommunications Engineering 12 TFM vacio Year 2 - Semester 2
Master in Machine Learning for Health Subjects ECTS TYPE Language Medical imaging and computer vision*
(Choose at least 6 ECTS)Medical image reconstruction 6 E Surgical navigation and imaging 3 E Neuroimaging 3 E Computer Vision 6 E Artificial Intelligence in radiology and microscopy 3 E Machine learning for health*
(Choose at least 6 ECTS)Information Theory for Machine Learning 6 E Probabilistic and Generative Machine Learning 6 E Natural Language Processing 6 E Personalized medicine 3 E Speech technologies for health 3 E Research methods Reseach Skills 3 C Master Thesis Master's Thesis. Machine Learning and Health 9 TFM vacio * 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
- 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 1 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
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.
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* Current fees for the academic year 25/26, pending approval by the Community of Madrid for the academic year 26/27.
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 Universidad Carlos III de Madrid, 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.
- ADMISSION
- PRACTICAL INFORMATION
Academic Calendar
Academic Calendar 2025-2026 - School of Engineering
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MASTER’S COURSE SCHEDULE
Master in Telecommunications Engineering timetable (2025/26 academic year)
Master in Telecommunications Engineering timetable (2026/27 academic year)
Master in Machine Learning for Health timetable
The Master in Machine Learning for Health will be taught in the MORNING in the 26/27 academic year
VIRTUAL SECRETARIAT
Access to Virtual Secretariat (Higher Polytechnic School)
Access to Virtual Secretariat (Leganés)