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Master in Applied Artificial Intelligence

Graduate School of Engineering and Basic Sciences

Imagen presentaci贸n del m谩ster
Direction
Prof. Jes煤s Garc铆a Herrero
Deputy Direction
Prof. Agapito Ismael Ledezma Espino
Coordination
Prof. Jes煤s Garc铆a Herrero, Prof. Agapito Ismael Ledezma
Language
Spanish
Attendance
On-campus
Credits
60
Campus
Madrid - Puerta de Toledo
Applications

CLOSED

鈽&苍产蝉辫; Places available: 40

Double degree:  Open 

Departments
Systems Engineering and Automation Department, Public State Law Department, Statistics Department, Computer Science and Engineering Department, , Telematic Engineering Department

CONTACT

Click here and make your query

 

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.

    _______

    reasons to study the master's degree in Applied Artificial Intelligence

  • 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) 

      馃摜&苍产蝉辫;鈹&苍产蝉辫;Recommended itineraries

      Formative Complements *
      Subjects ECTS TYPE Language
      2 FC Espa帽ol
      2 FC Espa帽ol
      2 FC Espa帽ol

      ________

      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

      1st Term
      SubjectsECTSTYPELanguage
      ETHICAL AND LEGAL ASPECTS, ENTREPRENEURSHIP
      3CSpanish
      FUNDAMENTALS AND TECHNIQUES
      Electives (Choose 12 ECTS)
      AI FundamentalsNo dataNo datavacio
      3ESpanish
      3ESpanish
      3ESpanish
      Advanced Machine LearningNo dataNo datavacio
      3ESpanish
      3ESpanish
      Reasoning and PlanningNo dataNo datavacio
      3ESpanish
      3ESpanish
      Probabilistic Models and UncertaintyNo dataNo datavacio
      3ESpanish
      2nd Term
      SubjectsECTSTYPELanguage
      FUNDAMENTALS AND TECHNIQUES
      Electives (Choose between 3 ECTS and 12 ECTS)
      Advanced Machine LearningNo dataNo datavacio
      3ESpanish
      3ESpanish
      Reasoning and PlanningNo dataNo datavacio
      3ESpanish
      Probabilistic Models and UncertaintyNo dataNo datavacio
      3ESpanish
      APPLICATIONS
      Electives (Choose between 3 ECTS and 12 ECTS)
      Applied TechniquesNo dataNo datavacio
      3ESpanish
      3ESpanish
      ApplicationsNo dataNo datavacio
      3ESpanish

      Year 1 - Semester 2

      3rd. Term
      SubjectsECTSTYPELanguage
      APPLICATIONS
      Electives (Choose between 9 and 15 ECTS)
      Applied TechniquesNo dataNo datavacio
      3ESpanish
      ApplicationsNo dataNo datavacio
      3ESpanish
      3ESpanish
      3ESpanish
      3ESpanish
      3ESpanish
      3ESpanish
      4th. Term
      SubjectsECTSTYPELanguage
      6Cvacio
      Electives (Choose between 3 and 9 ECTS)
      APPLICATIONSNo dataNo datavacio
      Applied TechniquesNo dataNo datavacio
      3ESpanish
      ApplicationsNo dataNo datavacio
      3ESpanish
      3ESpanish
      ETHICAL AND LEGAL ASPECTS, ENTREPRENEURSHIPNo dataNo datavacio
      3ESpanish
      Master's Thesis
      SubjectsECTSTYPELanguage
      6TFMvacio

      * 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

    • 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

      鈽&苍产蝉辫;

  • FACULTY

    UC3M FACULTY

    • ARMINGOL MORENO, JOSE MARIA
      Department of Systems Engineering and Automation
      Full Professor
      PhD
    • ARTÉS RODRÍGUEZ, ANTONIO鈥
      Department of Signal and Communications Theory
      Full Professor
      PhD
    • BELLUCCI, ANDREA
      Department of Computer Science and Engineering
      Associate Professor
      PhD
    • CABRAS, STEFANO鈥
      Departamento de Estadística
      Full Professor
      PhD
    • CARBÓ RUBIERA, JAVIER
      Department of Computer Science and Engineering
      Associate Professor
      PhD
    • CASTILLO MONTOYA, JOSÉ CARLOS
      Department of Systems Engineering and Automation
      Associate Professor
      PhD
    • CASTRO GONZÁLEZ, ALVARO
      Department of Systems Engineering and Automation
      Associate Professor
      PhD
    • ESCALERA HUESO, ARTURO DE LA
      Department of Systems Engineering and Automation
      Full Professor
      PhD
    • FERNÁNDEZ REBOLLO, FERNANDO
      Department of Computer Science and Engineering
      Associate Professor
      PhD
    • GARCÍA OLAYA, ÁNGEL
      Department of Computer Science and Engineering
      Associate Professor
      PhD
    • IGLESIAS MARTINEZ, JOSE ANTONIO
      Department of Computer Science and Engineering
      Associate Professor
      PhD
    • ISASI VIÑUELA, PEDRO
      Department of Computer Science and Engineering
      Full Professor
      PhD
    • JIMÉNEZ RECAREDO, RAÚL
      Departamento de Estadística
      Associate Professor
      PhD
    • LEDEZMA ESPINO鈥, AGAPITO
      Department of Computer Science and Engineering
      Associate Professor
      PhD
    • LINARES LÓPEZ, CARLOS
      Department of Computer Science and Engineering
      Associate Professor
      PhD
    • MARIN PLAZA, PABLO
      Department of Systems Engineering and Automation
      PhD Assistant Professor
    • MARTIN GOMEZ, DAVID
      Department of Systems Engineering and Automation
      Associate Professor
      PhD
    • MARTÍNEZ DE LA CASA DÍAZ, SANTIAGO
      Department of Systems Engineering and Automation
      Associate Professor
      PhD
    • MARTÍNEZ OLMOS, PABLO鈥
      Department of Signal and Communications Theory
      Associate Professor
      PhD
    • MUÑOZ MERINO, PEDRO JOSÉ
      Department of Telematic Engineering
      Full Professor
      PhD
    • MUÑOZ ORGANERO, MARIO
      Department of Telematic Engineering
      Full Professor
      PhD
    • NIETO, MARÍA JESÚS
      Department of Mechanical Engineering
      Full Professor
      PhD
    • PARRADO HERNÁNDEZ, EMILIO
      Department of Signal and Communications Theory
      Associate Professor
      PhD
    • PEDRAZA CÓRDOBA, JUANITA
      Department of Public State Law
      Visiting Professor
      PhD
    • SAÉZ ACHAERANDIO, YAGO
      Department of Computer Science and Engineering
      Associate Professor
      PhD
  • 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: (2 ECTS), (2 ECTS) and (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

      鉁庘攤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 天美传媒, 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.

      鉁庘攤Enrolment master鈥檚 programmes

      鉁庘攤ECTS credits recognition

  • SCHOLARSHIPS

    UC3M SCHOLARSHIPS FOR ACADEMIC YEAR 2025/2026

    CALL AM01-25/26* 鈹 OPEN

    For the academic year 2025-2026 a call has been published for a maximum of 3 scholarships for payment of the net enrolment fees for students accepted into the Master’s, with the following provision:

    • 3 scholarships of €4,500

    To apply, you must have completed the application for admission to the Master’s.
     

    Application deadline: May 31, 2025
     

    Partial resolutions:

    • first partial resolution: published on 19/3/2025
    • second partial resolution: from April 27, 2025
    • third and final resolution: from June 20, 2025

    * The number of grants and amounts specified in the call, may vary depending on the conditions of the candidates who apply to them, can be even deserted as assessed by the Selection Committee for each program.

    _______

    馃摎 鈹 Scholarships

    General information on scholarships

    For more information on specific scholarships of interest, awarded by the 天美传媒 as well as other agencies or organizations, please refer here:

    馃帗&苍产蝉辫;鈹&苍产蝉辫;Scholarships to study a University Master

  • PRACTICAL INFORMATION

    titulo cabecera para secci贸n horario del master

    MASTER’S COURSE SCHEDULE

    _______

    FORMATIVE COMPLEMENTS

    馃抢 Formative Complements for the 2024/25 academic year will be taught as follows:

    • 28/08-4/09 | M-F | Online | 10:00-12:30 h
    • On-site evaluation:
      6/09 | 10.00-12.00 | Classroom 0.A.01 (Madrid-Puerta de Toledo Campus)

    titulo cabecera para secci贸n secretar铆a virtual

    VIRTUAL SECRETARIAT

    titulo cabecera para seccion recursos materiales del m谩eter

    Material Resources of the program

    titulo cabecera para secci贸n quejas, reclamaciones y sugerencias

    complaints and suggestions

    General Registry Office

     

    icono cabecera para secci贸n empleo y practicas

    Employability

    Access to Employment and internships

    馃啎&苍产蝉辫;

  • DOUBLE DEGREE
    • 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
      SubjectsECTSTYPELanguage
      6CSpanish
      6CSpanish
      6CSpanish
      3CSpanish
      3CSpanish
      6CSpanish

      Year 1 - Semester 2

      Master in Informatics Engineering
      SubjectsECTSTYPELanguage
      3CSpanish
      6CSpanish
      6CSpanish
      6CSpanish
      3CSpanish
      6CSpanish

      Year 2 - Semester 1

      Master in Applied Artificial Intelligence
      Choose 18 LECTIVES ECTS (*)
      SubjectsECTSTYPELanguage
      ETHICAL AND LEGAL ASPECTS, ENTREPRENEURSHIP
      3CSpanish
      FUNDAMENTALS AND TECHNIQUES
      3ESpanish
      3ESpanish
      3ESpanish
      3ESpanish
      3ESpanish
      3ESpanish
      3ESpanish
      3ESpanish
      3ESpanish
      3ESpanish
      3ESpanish
      3ESpanish
      APPLICATIONS
      3ESpanish
      3ESpanish
      3ESpanish
      Master's Thesis
      SubjectsECTSTYPELanguage
      12TFMvacio

      Year 2 - Semester 2

      Master in Applied Artificial Intelligence
      Choose 15 LECTIVES ECTS (*)
      SubjectsECTSTYPELanguage
      6Cvacio
      APPLICATIONS
      3ESpanish
      3ESpanish
      3ESpanish
      3ESpanish
      3ESpanish
      3ESpanish
      3ESpanish
      3ESpanish
      Master's Thesis
      SubjectsECTSTYPELanguage
      6TFMvacio

      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)Informatics Engineering 18 ECTS
      Credits that are recognized (without cost)Applied Artificial Intelligence 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
       

      鉁庘攤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.

      鈽&苍产蝉辫;Enrollment completely registers the student in the Master's Degree.

      鈽&苍产蝉辫;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 天美传媒, 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.

      鉁庘攤Enrolment master鈥檚 programmes

      鉁庘攤ECTS credits recognition

    • INFORMACI脫N PR脕CTICA

      titulo cabecera para secci贸n horario del master

      MASTER’S COURSE SCHEDULE

      Master in Informatics Engineering timetable:

      titulo cabecera para secci贸n secretar铆a virtual

      VIRTUAL SECRETARIAT

       (Higher Polytechnic School)

       (Madrid-Puerta de Toledo)

      titulo cabecera para seccion recursos materiales del m谩eter

      MATERIAL RESOURCES OF THE PROGRAMME

      titulo cabecera para secci贸n quejas, reclamaciones y sugerencias

      complaints and suggestions

      General Registry Office

       

      icono cabecera para secci贸n empleo y practicas

      Employability

      Access to 

      馃啎&苍产蝉辫;