Graduate School of Engineering and Basic Sciences
- Direction
- Prof. Jesús García Herrero
- Deputy Direction
- Prof. Agapito Ismael Ledezma Espino
- Coordination
- Prof. Jesús García Herrero, Prof. Agapito Ismael Ledezma
- Language
- Spanish
- Attendance
- On-campus
- Credits
- 60
- Campus
- Madrid - Puerta de Toledo
- Applications
-
CLOSED
☛ Places available: 40
Double degree: CLOSED
- Departments
- Systems Engineering and Automation Department, Public State Law Department, Statistics Department, Computer Science and Engineering Department, Signal and Communications Theory Department, Telematic Engineering Department
CONTACT
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APPLICATION FOR ADMISSION
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- Inicio
The Master in Applied Artificial Intelligence provides knowledge and skills for the design and development of solutions based on Artificial Intelligence (AI) in the most relevant sectors, with a clear professional orientation for a sector with a very high demand professionals in these technologies.
In the last decade, Artificial Intelligence has promoted innovation in practically all economic sectors. Today, using AI techniques is becoming essential in all business areas as they bring opportunities to improve the performance of traditional techniques and processes, which implies, among other things, improving the quality of services and processes.
The objective of the program is training professionals to understand the most relevant existing Artificial Intelligence methods and techniques and apply them to develop appropriate solutions to the different types of problems they may face. It seeks to provide graduates with an integrative vision of Artificial Intelligence, knowing in detail the main paradigms such as Machine Learning or Representation and Search, taking into consideration the most relevant applied techniques and emphasizing the relevant applications that will be found.
The configuration of the study plan emphasizes elective subjects among a broad program, so that the student selects those ones which fit better with her/his own interests and previous knowledge.
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Complementary training in Business Administration (MBA)
- CURRICULUM
- CURRICULUM
CURRICULUM STRUCTURE
The three modules described below, together with the Master's Thesis, are broken down into eight subjects. Of these, the only compulsory subjects are: one of the subjects of the Legal and Ethical Aspects Module, the Internship in Companies and the Master's Thesis.
MODULE 1
FUNDAMENTALS AND TECHNIQUES
A minimum of 15 ECTS and a maximum of 24 ECTS must be chosen from the following subjects:
- AI Fundamentals
- Machine Learning (3 ECTS, E)
- Search and Optimization (3 ECTS, E)
- Evolutionary Computation (3 ECTS, E)
- Advanced Machine Learning
- Machine Learning in TImeseries and Data Streams (3 ECTS, E)
- Reinforcement Learning (3 ECTS, E)
- Neural Networks (3 ECTS, E)
- Deep Learning (3 ECTS, E)
- Reasoning and Planning
- Knowledge Representation and Reasoning (3 ECTS, E)
- Agents and Multiagent Systems (3 ECTS, E)
- Automatic Planning (3 ECTS, E)
- Probabilistic Models and Uncertainty
- Probabilistic Methods in AI (3 ECTS, E)
- Reasoning under Uncertainty (3 ECTS, E)
MODULE 2
APPLICATIONS
A minimum of 18 ECTS and a maximum of 30 ECTS must be chosen from the following subjects:
- Applied Techniques
- Business Intelligence (3 ECTS, E)
- Natural Language Processing (3 ECTS, E)
- Autonomous Vehicles (3 ECTS, E)
- Machine Vision (3 ECTS, E)
- Applications
- Semantic Web and Search Engines (3 ECTS, E)
- AI in Education (3 ECTS, E)
- AI en Finance (3 ECTS, E)
- AI in Health (3 ECTS, E)
- AI & Sustainable Development (3 ECTS, E)
- AI in Robotics (3 ECTS, E)
- AI in Cybersecurity (3 ECTS, E)
- AI in Tourism (3 ECTS, E)
- Smart Factories (3 ECTS, E)
- Smart Cities (3 ECTS, E)
- Ambient Intelligence (3 ECTS, E)
MODULE 3
ETHICAL AND LEGAL ASPECTS, ENTREPRENEURSHIP
It is mandatory to take the 3 ECTS of the subject "Ethical and Legal Implications of AI" and optionally the 3 ECTS of the subject "Entrepreneurship in AI".
- Ethical and Legal Aspects and Entrepreneurship
- Ethical and Legal Implications of AI (3 ECTS, C)
- Entrepreneurship in AI (3 ECTS, E)
Formative Complements * Subjects ECTS TYPE Language Databases and Infrastructures 2 FC 
Object-Oriented Programming 2 FC Statistical Reasoning 2 FC ________
ECTS CREDITS TO BE ENROLLED PER TERM:
- 1st Term: 15 ECTS
- 2nd Term: 15 ECTS
- 3rd Term: between 9 and 15 ECTS
- 4th Term: between 15 and 21 ECTS
Check the minimum and maximum number of ECTS that you can enroll per module and the subjects that belong to each subject in "CURRICULUM STRUCTURE".
Year 1 - Semester 1
TERM 1
ETHICAL AND LEGAL ASPECTS, ENTREPRENEURSHIPSubjects ECTS TYPE Language Ethical and Legal Implications of AI 3 C FUNDAMENTALS AND TECHNIQUES (choose 12 ECTS)
» AI FundamentalsSubjects ECTS TYPE Language Machine Learning 3 E Search and Optimization 3 E Evolutionary Computation 3 E » Advanced Machine Learning Subjects ECTS TYPE Language Machine Learning in TImeseries
and Data Streams3 E Neural Networks 3 E » Reasoning and Planning Subjects ECTS TYPE Language Knowledge Representation and Reasoning 3 E Agents and Multiagent Systems 3 E » Probabilistic Models and Uncertainty Subjects ECTS TYPE Language Probabilistic Methods in AI 3 E TERM 2
FUNDAMENTALS AND TECHNIQUES (choose between 3 ECTS and 12 ECTS)
» Advanced Machine LearningSubjects ECTS TYPE Language Reinforcement Learning 3 E Deep Learning 3 E » Reasoning and Planning Subjects ECTS TYPE Language Automatic Planning 3 E » Probabilistic Models and Uncertainty Subjects ECTS TYPE Language Reasoning under Uncertainty 3 E APPLICATIONS (choose between 3 ECTS and 12 ECTS)
» Applied TechniquesSubjects ECTS TYPE Language Natural Language Processing 3 E Autonomous Vehicles 3 E » Applications Subjects ECTS TYPE Language Ambient Intelligence 3 E Year 1 - Semester 2
TERM 3
APPLICATIONS (choose between 9 ECTS and 15 ECTS)
» Applied TechniquesSubjects ECTS TYPE Language Machine Vision 3 E » Applications Subjects ECTS TYPE Language 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 TERM 4 Subjects ECTS TYPE Language Internships 6 C vacio ELECTIVES (choose between 3 and 9 ECTS)
APPLICATIONS
» Applied TechniquesSubjects ECTS TYPE Language Business Intelligence 3 E » Applications Subjects ECTS TYPE Language Smart Factories 3 E Smart Cities 3 E ETHICAL AND LEGAL ASPECTS, ENTREPRENEURSHIP Subjects ECTS TYPE Language Entrepreneurship in AI 3 E Master's Thesis Subjects ECTS TYPE Language Master's Thesis 6 TFM vacio * Formative Complements: students who do not have enough knowledge and skills on these subjects must take these courses. Master’s Academic Committee will decide on how many ECTS each candidate must complete according to his or her academic access profile. Check the requirements for access to the master´s degree.
C) Compulsory: 3 ECTS
E) Elective course: 45 ECTS
Internships: 6 ECTS
Master's Thesis: 6 ECTS
course Programs
- AI Fundamentals
- MBA COMPLEMENT
If you are looking for voluntary and personalized complementary training to expand your knowledge and skills, UC3M offers you the opportunity to complete a complementary program in the area of business administration (MBA). This will also be reflected in your Suplemento Europeo al Título (SET) if you successfully complete it. If you are interested in pursuing the MBA Master's program later on, the ECTS credits earned in this complement will be recognized.
GENERAL INFORMATION
DURATION
This complement can be taken during the corresponding academic year, simultaneously with the Master's Degree, or during the second year after completing the MBA Master’s program. The workload for the supplement will be 12 ECTS credits.
REQUIREMENTS
- Be a registered student in one of the following Master's programs in Engineering: Connected Industry 4.0, Applied Artificial Intelligence, Cybersecurity, Big Data Analytics, Technologies in the Financial Sector: FinTech.
- Demonstrate a C1 level of English proficiency. Students whose native language is English, as well as students who have completed their undergraduate or Master's studies in English, will not be required to take the English exam, provided they submit the corresponding documentation. Language requirements.
APPLICATION
The Postgraduate Office will provide information on the application period and required documentation.
Available places will be offered until each subject group is filled. If applications exceed the number of available places, they'll be processed in the order they were received.
FURTHER INFORMATION
For any clarification, please contact your Postgraduate Office.
CONTENT/CURRICULUM
You must select a minimum of 12 ECTS credits from the following MBA subjects:
SEMESTER 1
Subjects ECTS Language Managerial Economics 3 
Strategic Management 3 Market Analysis 3 Marketing Management for Strategic Advantage 3 Operations Management 3 Managing People in Organizations 3 SEMESTER 2
Subjects ECTS Language Financial Economics 2 Corporate Finance 2 International Finance 2 Supply Chain Management 2 International Management 2 International Economic Environment 2 COMPLEMENT PRICE
The total cost will be calculated by multiplying the ECTS price of the Master's program to which the chosen subjects belong by the total number of ECTS, based on the student's status as a national/EU citizen or a non-EU citizen:
Complement National/EU price* Non-EU price* Master in Business Administration - MBA €225/ECTS €330/ECTS * Current fees for the 25/26 academic year, pending approval by the Community of Madrid for the 26/27 academic year.
- QUALITY
GENERAL COURSE INFORMATION
☛ First year offered: 2022
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).
FACULTY AND COURSE PLAN
Graduate Profile and Competences
- CURRICULUM
- FACULTY
UC3M FACULTY
- ARMINGOL MORENO, JOSE MARIA
Department of Systems Engineering and Automation
Full Professor
PhD
Brief CV
- ARTÉS RODRÍGUEZ, ANTONIO
Department of Signal and Communications Theory
Full Professor
PhD
Brief CV
- BELLUCCI, ANDREA
Department of Computer Science and Engineering
Associate Professor
PhD
Brief CV
- CABRAS, STEFANO
Departamento de Estadística
Full Professor
PhD
Brief CV
- CARBÓ RUBIERA, JAVIER
Department of Computer Science and Engineering
Associate Professor
PhD
Brief CV
- CASTILLO MONTOYA, JOSÉ CARLOS
Department of Systems Engineering and Automation
Associate Professor
PhD
Brief CV
- CASTRO GONZÁLEZ, ALVARO
Department of Systems Engineering and Automation
Associate Professor
PhD
Brief CV
- ESCALERA HUESO, ARTURO DE LA
Department of Systems Engineering and Automation
Full Professor
PhD
Brief CV
- FERNÁNDEZ REBOLLO, FERNANDO
Department of Computer Science and Engineering
Associate Professor
PhD
Brief CV
- GARCÍA OLAYA, ÁNGEL
Department of Computer Science and Engineering
Associate Professor
PhD
Brief CV
- IGLESIAS MARTINEZ, JOSE ANTONIO
Department of Computer Science and Engineering
Associate Professor
PhD
Brief CV
- ISASI VIÑUELA, PEDRO
Department of Computer Science and Engineering
Full Professor
PhD
Brief CV
- JIMÉNEZ RECAREDO, RAÚL
Departamento de Estadística
Associate Professor
PhD
Brief CV
- LEDEZMA ESPINO, AGAPITO
Department of Computer Science and Engineering
Associate Professor
PhD
Brief CV
- LINARES LÓPEZ, CARLOS
Department of Computer Science and Engineering
Associate Professor
PhD
Brief CV
- MARIN PLAZA, PABLO
Department of Systems Engineering and Automation
PhD Assistant Professor
Brief CV
- MARTIN GOMEZ, DAVID
Department of Systems Engineering and Automation
Associate Professor
PhD
Brief CV
- MARTÍNEZ DE LA CASA DÍAZ, SANTIAGO
Department of Systems Engineering and Automation
Associate Professor
PhD
Brief CV
- MARTÍNEZ OLMOS, PABLO
Department of Signal and Communications Theory
Associate Professor
PhD
Brief CV
- MUÑOZ MERINO, PEDRO JOSÉ
Department of Telematic Engineering
Full Professor
PhD
Brief CV
- MUÑOZ ORGANERO, MARIO
Department of Telematic Engineering
Full Professor
PhD
Brief CV
- NIETO, MARÍA JESÚS
Department of Mechanical Engineering
Full Professor
PhD
Brief CV
- PARRADO HERNÁNDEZ, EMILIO
Department of Signal and Communications Theory
Associate Professor
PhD
Brief CV
- PEDRAZA CÓRDOBA, JUANITA
Department of Public State Law
Visiting Professor
PhD
Brief CV
- SAÉZ ACHAERANDIO, YAGO
Department of Computer Science and Engineering
Associate Professor
PhD
Brief CV
- ARMINGOL MORENO, JOSE MARIA
- ADMISSION
- ADMISSION
Application
The request must be submitted electronically through our application system. Before beginning the admission process, please read the following information:
RequiREMENTS
Students who want to enroll in this Master must have a good knowledge in STEM areas (Science, Technology, Engineering and Mathematics). Good skills in programming languages, spreadsheets and general office automation packages is also required.
Students’ academic background must be in accordance with the studies of the Master Degree. Access to the Master will be from:
- Bachelor students from the branches of Computer Engineering, Telecommunications Engineering and Industrial Electronic Engineering who recently completed their studies and are interested in the technologies and applications of the IoT. They will be also looking for a professional orientation according to this technology.
- STEM undergraduate students who have sufficient knowledge to study and pass the curriculum of the Master.
- Engineers and graduates from the former STEM area, with career experience in positions related to software development, and in which they have acquired these skills, who intend to recycle and adapt their knowledge to the technologies associated with Artificial Intelligence.
FORMATIVE COMPLEMENTS
Formative complements comprise three subjects: Databases and Infrastructures (2 ECTS), Object-Oriented Programming (2 ECTS) and Statistical Reasoning (2 ECTS). These subjects are designed to provide with the necessary knowledge and skills to those students who do not have a sufficient academic level to access the degree.
Formative complements won’t be required when proffessional experience of at least two years in a position directly related to the indicated competences is accredited.
In any case, the academic committee of the master's degree will decide the credits to be taken by the candidates according to their admission profile.
The dates and schedules of the Formative Complements can be consulted here.
ADMISSION CRITERIA
The student selection will be made on the following criteria:
ADMISSION CRITERIA WEIGHTING Academic record 7 points Knowledge of other languages (B2 or equivalent) 1 point Motivation, interest and recommendation letters* 1 point Others 1 point *Recommendation letters are received confidentially through the application system. Recommendation letters can only be sent by recommenders upon request from the candidate. In order to be included in the candidate's application, recommendation letters must be received up to 3 days after submitting the admission application. Please take this into consideration when preparing your application.
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.
- ENROLLMENT
TUITION FEES*
Reservation fee: €800
- 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
EU STUDENTS (€130/ECTS) First academic year - 60 ECTS €7,800 NON EU STUDENTS (€195/ECTS) First academic year - 60 ECTS €11,700 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.
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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
- SCHOLARSHIPS
UC3M TUITION GRANTS FOR ACADEMIC YEAR 2026/2027
CALL FOR APPLICATIONS AM01-26/27* │ RESOLVED
A maximum of 3 grants have been announced for the academic year 2026-2027 to cover the net tuition fees for students admitted to the Master's program, with the following provisions:
- 3 grants of €4,500
To apply for the grant, you must have formalized the application for admission to the Master's Degree.
Application deadline: 31 May 2026
Partial decisions:
- First decision published on 12 March 2026
- Second decision published on 4 June 2026
- Third decision published on 14 July 2026
* The number of grants and their amounts specified in the call for applications may vary depending on the conditions of the candidates applying for them, and may even remain unawarded based on the assessment of the Selection Committee for each program
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General information on scholarships
For more information on specific scholarships of interest, awarded by the Universidad Carlos III de Madrid as well as other agencies or organizations, please refer here:
- PRACTICAL INFORMATION
MASTER’S COURSE SCHEDULE
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FORMATIVE COMPLEMENTS
📌 Formative Complements for the 2026/27 academic year will be taught as follows:
- 26/08-2/09 | M-F | Online | 10:00-12:30 h
- DOUBLE DEGREE
- NEW CURRICULUM 2026-2027
DOUBLE MASTER DEGREE IN INFORMATICS ENGINEERING AND APPLIED ARTIFICIAL INTELLIGENCE
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
DOUBLE MASTER DEGREE IN INFORMATICS ENGINEERING AND APPLIED ARTIFICIAL INTELLIGENCE
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
- 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.
- INFORMACIÓN PRÁCTICA
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)
- NEW CURRICULUM 2026-2027