ÌìÃÀ´«Ã½

The program consists of 60 ECTS to be studied in 2 semesters with the following structure:
 

SEMESTER 1 (30 ECTS)

• SUBJECT 1 | BASIC FORMATION
  Formed by 3 compulsory subjects of 6 ECTS each.
• SUBJECT 2 | METHODS AND TOOLS FOR COMPUTATIONAL INTELLIGENCE
  It contains 4 elective subjects of 6 ECTS each. Students must choose two of these four subjects.

SEMESTER 2 (30 ECTS)

• SUBJECT 3 | MEDICAL IMAGING AND COMPUTER VISION
  Composed of several elective subjects of 3 and 6 ECTS on the processing and analysis of data based on medical images.
• SUBJECT 4 | LEARNING MACHINE IN HEALTH
  Composed of several elective subjects of 3 and 6 ECTS on advanced methods of machine learning relevant in specific areas of health.
• SUBJECT 5 | RESEARCH METHODS
  With a mandatory subject of 3 ECTS associated with research skills.
• SUBJECT 6 | MASTER THESIS

* To complete the 30 ETCS of the Semester 2, the students must choose a total of 18 ECTS between the subjects of the subject-matter 3 and 4, choosing a minimum of 6 ECTS in each subject-matter.
 

** Formative Complements: in general, according to the entry profile, the following is established:

• Students coming from Data Science and Telecommunication Engineering degrees must take Subject 1.
• Students coming from Bioengineering degrees must take Subjects 2 and 3.
• Students coming from Computer Engineering degrees must take Subjects 1 and 3.

The rest of the admission profiles must take the three training complements. However, the academic committee of the master's degree will be responsible for evaluating the profile of the students, considering the curriculum taught in the center of origin and the specific training of each one, and may assign in some cases additional complements or exempt the completion of some of them.
 

C) Compulsory: 21 ECTS

E) Elective course: 30 ECTS

TFM) Master Thesis: 9 ECTS

course Programs

â—¤

GENERAL COURSE INFORMATION

☛&²Ô²ú²õ±è;First year offered: 2019

• Verification Report

QUALITY INDICATORS

☛

☛&²Ô²ú²õ±è;

PROGRAMME’S QUALITY ASSURANCE

The Academic Committee of the Master’s programme complies with the SGIC-UC3M and it is responsible for the follow-up, analysis, review, assessment and quality of the program, it contributes with proposals to improve the program and produces the “Memoria Académica de Titulación” (Programme Report).

• Academic Committee

FACULTY AND COURSE PLAN

☛&²Ô²ú²õ±è;

Graduate Profile and Competences

• Graduate profile and competences

Application

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

• Documentation that must be uploaded to the on line application
• Calendar and general information about admission 
• Follow the step-by-step instructions in the application for admission

REQUIREMENTS

To access this master's degree, it is necessary to hold a degree in Telecommunications Engineering, Data Engineering and Data Science,  Computer Science and Computer Engineering, Electrical Engineering, Biomedical Engineering or Bioengineering

FORMATIVE COMPLEMENTS

Formative Complements are defined to facilitate the incorporation of students with different profiles, with emphasis on those profiles without knowledge of Bioengineering, Machine Learning and Statistics. It is a block composed of three courses with contents to acquire the necessary competences to start the master's program, which will be taken according to the profile and previous knowledge of the applicants.

The dates and schedules of the Formative Complements can be consulted here.

ADMISSION CRITERIA

Candidate selection will be done on the basis of the following criteria:

ADMISSION PROFILE

The Master of Information Health Engineering is mainly aimed at engineering graduates of the following families:

• Telecommunications Engineering
• Data Engineering and Data Science
• Computer Science and Computer Engineering
• Electrical Engineering
• Biomedical Engineering or Bioengineering

or other related degrees such as mathematics or other engineering degrees

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

Once admitted to the Master’s program, students holding a university degree from a higher education institution outside the EHEA must provide the diploma, legalized through diplomatic procedures or by The Hague Apostille, for enrollment. They must also submit their transcript of records, including the grade point average, duly legalized.

More information about Legalization of Foreign Documents.

If needed, documents must be accompanied by an official sworn translation into Spanish.

TUITION FEES*

Reservation fee: €450 

• it will be paid once the student receives notification of admission to the master’s, and deducted from the first tuition payment
• the reservation fee will only be refunded if the master program is cancelled
   

✎│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.

_______

* 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

Best Practices and Regulations

• Student cohabitation system
• Ethical code
• Enrollment and permanence rules
• Master's degree access rules
• Master's Thesis rules
• Rules for credits recognition

[+] information

DOUBLE MASTER DEGREE IN TELECOMMUNICATIONS ENGINEERING AND MACHINE LEARNING FOR HEALTH

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.

* 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

â—¤

Application

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

• Documentation that must be uploaded to the on line application
• Calendar and general information about admission 
• Follow the step-by-step instructions in the application for admission

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

TUITION FEES*

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
 

✎│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.

☛&²Ô²ú²õ±è;Enrollment completely registers the student in the Master's Degree.

☛&²Ô²ú²õ±è;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

Best Practices and Regulations

• Student cohabitation system
• Ethical code
• Enrollment and permanence rules
• Master's degree access rules
• Master's Thesis rules
• Rules for credits recognition

[+] information

Academic Calendar

Academic Calendar 2024-2025 - School of Engineering

Academic Calendar 2024-2025

_______

Academic Calendar 2025-2026 - School of Engineering

Academic Calendar 2025-2026

MASTER’S COURSE SCHEDULE

Master in Telecommunications Engineering timetable:

VIRTUAL SECRETARIAT

 (Higher Polytechnic School)

 (Leganés)

MATERIAL RESOURCES OF THE PROGRAMME

complaints and suggestions

General Registry Office

Employability

Access to 

🆕&²Ô²ú²õ±è;