UC3M - Double Master's Degree in Informatics Engineering and Applied Artificial Intelligence
Graduate School of Engineering and Basic Sciences
- Direction
- INFORMATICS ENG.: Prof. Anabel Fraga Vázquez, APPLIED ARTIFICIAL INTELLIGENCE: Prof. Jesús García Herrero
- Deputy Direction
- APPLIED ARTIFICIAL INTELLIGENCE: Prof. Agapito Ismael Ledezma Espino
- Language
- Spanish
- Attendance
- On-campus
- Credits
- 126 (NEW CURRICULUM 26-27), 120 (CURRENT CURRICULUM)
- Campus
- Leganes, Madrid - Puerta de Toledo
- Applications
-
CLOSED
- Departments
- Computer Science and Engineering Department, Systems Engineering and Automation Department, Public State Law Department, Statistics Department, Signal and Communications Theory Department, Telematic Engineering Department
CONTACT
Click here and make your query
APPLICATION FOR ADMISSION
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- CURRICULUM
- NEW CURRICULUM 2026-2027
STRUCTURE
The Double Master's Degree Curriculum is structured around two academic years in which you will take 84 ECTS from the Master's Degree in Informatics Engineering and 42 ECTS from the Master's Degree in Applied Artificial Intelligence.
The 126 total credits from the dual curriculum is broken down as follows:
- In the first year, students take subjects for the Master's Degree in Informatics Engineering (30 ECTS in each semester). You will study a total 12 compulsory subjects (6 in each semester) to complete 60 ECTS.
- During the second year of teaching, you will take specialty subjects in Applied Artificial Intelligence (3 compulsory ECTS and 33 elective ECTS) in addition to the External Internships required for the Master’s Degree in Informatics Engineering (12 ECTS) and the two Master’s Thesis for each master’s program.
You will have 24 validated ECTS credits, and on completion you receive two Official Master's Degree qualifications.
Year 1 - Semester 1
Master in Informatics Engineering Subjects ECTS TYPE Language Cybersecurity Systems 6 C 
High Performance Computing 6 C Project Management in Informatics Engineering 6 C Massive and Linked Data 3 C Legal and Ethical Aspects of Informatics Engineering 3 C Computer Networks Design and Management 6 C Year 1 - Semester 2
Master in Informatics Engineering Subjects ECTS TYPE Language Inteligent Data Analysis 3 C Software and Systems Quality 6 C Artificial Intelligence Advanced Applications 6 C Interactive and Inmersive Systems 6 C Information Systems Strategic Planning 3 C Software for Internet of the Things 6 C Year 2 - Semester 1
Master in Applied Artificial Intelligence
Choose 18 LECTIVES ECTS (*)Subjects ECTS TYPE Language ETHICAL AND LEGAL ASPECTS, ENTREPRENEURSHIP Ethical and Legal Implications of AI 3 C FUNDAMENTALS AND TECHNIQUES Machine Learning 3 E Search and Optimization 3 E Evolutionary Computation 3 E Machine Learning in TImeseries
and Data Streams3 E Reinforcement Learning 3 E Neural Networks 3 E Knowledge Representation and Reasoning 3 E Agents and Multiagent Systems 3 E Probabilistic Methods in AI 3 E Deep Learning 3 E Automatic Planning 3 E Reasoning under Uncertainty 3 E APPLICATIONS Natural Language Processing 3 E Autonomous Vehicles 3 E Ambient Intelligence 3 E INTERNSHIPS Subjects ECTS TYPE Language Internships. Master in Informatics Engineering 12 C Master's Thesis Subjects ECTS TYPE Language Master's Thesis. Master in Informatics Engineering 12 TFM vacio Year 2 - Semester 2
Master in Applied Artificial Intelligence
Choose 15 LECTIVES ECTS (*)Subjects ECTS TYPE Language APPLICATIONS Semantic Web and Search Engines 3 E AI in Education 3 E AI en Finance 3 E AI in Health 3 E AI & Sustainable Development 3 E AI in Robotics 3 E Smart Factories 3 E Smart Cities 3 E Business Intelligence 3 E Machine Vision 3 E Master's Thesis Subjects ECTS TYPE Language Master's Thesis. Master in Applied Artificial Intelligence 6 TFM vacio Master in Applied Artificial Intelligence
A maximum of 21 ECTS will be taken per semester, structured as follows:
- TERM 1: 3 Compulsory ECTS + 18 Elective ECTS
- TERM 2: 6 Compulsory ECTS + 15 Elective ECTS
* On the other hand, according to the module structure of the program, the following combination of elective credits must be taken into account:
- FUNDAMENTALS AND TECHNIQUES: a minimum of 9 ECTS and a maximum of 18 ECTS
- APPLICATIONS: a minimum of 12 ECTS and a maximum of 24 ECTS
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C) Compulsory
E) Elective
TFM) Master Thesis
course Programs
- CURRENT 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 Informatics Engineering and 48 ECTS from the Master's Degree in Applied Artificial Intelligence.
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 Informatics Engineering (30 ECTS in each semester). You will study a total 12 compulsory subjects (6 in each semester) to complete 60 ECTS.
- During the second year of teaching, you will take specialty subjects in Applied Artificial Intelligence (3 compulsory ECTS, 33 elective ECTS and 6 ECTS of External Practices) and two 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 Informatics Engineering Subjects ECTS TYPE Language Cybersecurity Systems 6 C High Performance Computing 6 C Project Management in Informatics Engineering 6 C Massive and Linked Data 3 C Legal and Ethical Aspects of Informatics Engineering 3 C Computer Networks Design and Management 6 C Year 1 - Semester 2
Master in Informatics Engineering Subjects ECTS TYPE Language Inteligent Data Analysis 3 C Software Quality 6 C Artificial Intelligence Advanced Applications 6 C Interactive and Inmersive Systems 6 C Information Systems Strategic Planning 3 C Software for Internet of the Things 6 C Year 2 - Semester 1
Master in Applied Artificial Intelligence
Choose 18 LECTIVES ECTS (*)Subjects ECTS TYPE Language ETHICAL AND LEGAL ASPECTS, ENTREPRENEURSHIP Ethical and Legal Implications of AI 3 C FUNDAMENTALS AND TECHNIQUES Machine Learning 3 E Search and Optimization 3 E Evolutionary Computation 3 E Machine Learning in TImeseries
and Data Streams3 E Reinforcement Learning 3 E Neural Networks 3 E Knowledge Representation and Reasoning 3 E Agents and Multiagent Systems 3 E Probabilistic Methods in AI 3 E Deep Learning 3 E Automatic Planning 3 E Reasoning under Uncertainty 3 E APPLICATIONS Natural Language Processing 3 E Autonomous Vehicles 3 E Ambient Intelligence 3 E Master's Thesis Subjects ECTS TYPE Language Master's Thesis. Master in Informatics Engineering 12 TFM vacio Year 2 - Semester 2
Master in Applied Artificial Intelligence
Choose 15 LECTIVES ECTS (*)Subjects ECTS TYPE Language Internships 6 C vacio APPLICATIONS Semantic Web and Search Engines 3 E AI in Education 3 E AI en Finance 3 E AI in Health 3 E AI & Sustainable Development 3 E AI in Robotics 3 E Smart Factories 3 E Smart Cities 3 E Business Intelligence 3 E Machine Vision 3 E Master's Thesis Subjects ECTS TYPE Language Master's Thesis. Master in Applied Artificial Intelligence 6 TFM vacio Master in Applied Artificial Intelligence
A maximum of 21 ECTS will be taken per semester, structured as follows:
- TERM 1: 3 Compulsory ECTS + 18 Elective ECTS
- TERM 2: 6 Compulsory ECTS + 15 Elective ECTS
* On the other hand, according to the module structure of the program, the following combination of elective credits must be taken into account:
- FUNDAMENTALS AND TECHNIQUES: a minimum of 9 ECTS and a maximum of 18 ECTS
- APPLICATIONS: a minimum of 12 ECTS and a maximum of 24 ECTS
_______
C) Compulsory
E) Elective
TFM) Master Thesis
course Programs
- NEW CURRICULUM 2026-2027
- 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 Informatics Engineering.
Check the requirements of the Master in Applied Artificial Intelligence.
Admission criteria
Check the admission criteria of the Master in Informatics Engineering.
Check the admission criteria of the Master in Applied Artificial Intelligence.
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 Informatics Engineering for students with foreign university degrees.
Check the requirements of the Master in Applied Artificial Intelligence 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 INFORMATICS ENGINEERING AND APPLIED ARTIFICIAL INTELLIGENCE Reservation fee1 €1,250 Price EU students €74.71 / ECTS Price Non EU students €174.9 / ECTS Credits enrolling 120 ECTS Credits that are recognized (without cost)2 Informatics Engineering 18 ECTS Credits that are recognized (without cost)2 Applied Artificial Intelligence 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 Informatics Engineering timetable (2025/26 academic year)
Master in Informatics Engineering timetable (2026/27 academic year)
VIRTUAL SECRETARIAT
Access to Virtual Secretariat (Higher Polytechnic School)
Access to Virtual Secretariat (Madrid-Puerta de Toledo)