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Master in Applied Artificial Intelligence

Graduate School of Engineering and Basic Sciences

Escuela de Ingeniería y Ciencias Básicas
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

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

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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.

    Mano robotica

    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

      A minimum of 3 ECTS and a maximum of 6 ECTS must be chosen from the following subjects:

      • Ethical and Legal Aspects and Entrepreneurship
        • Ethical and Legal Implications of AI (3 ECTS, C)
        • Entrepreneurship in AI (3 ECTS, E) 

       

      📥 │ Recommended itineraries

      📥 │ Syllabus content

      Formative Complements *
      Subjects ECTS TYPE Language
      Databases and Infrastructures 2 FC Español
      Object-Oriented Programming 2 FC Español
      Statistical Reasoning 2 FC Español

      ________

      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".

      Academic Year 1 - Semester 1

      1st Term
      SubjectsECTSTYPELanguage
      ETHICAL AND LEGAL ASPECTS, ENTREPRENEURSHIP
      Ethical and Legal Implications of AI3CSpanish
      FUNDAMENTALS AND TECHNIQUES
      Electives (Choose 12 ECTS)
      AI Fundamentals
      Machine Learning3ESpanish
      Evolutionary Computation3ESpanish
      Advanced Machine Learning
      Machine Learning in TImeseries
      and Data Streams
      3ESpanish
      Neural Networks3ESpanish
      Reasoning and Planning
      Agents and Multiagent Systems3ESpanish
      Probabilistic Models and Uncertainty
      Probabilistic Methods in AI3ESpanish
      2nd Term
      SubjectsECTSTYPELanguage
      FUNDAMENTALS AND TECHNIQUES
      Electives (Choose between 3 ECTS and 12 ECTS)
      Advanced Machine Learning
      Deep Learning3ESpanish
      Reasoning and Planning
      Automatic Planning3ESpanish
      Probabilistic Models and Uncertainty
      Reasoning under Uncertainty3ESpanish
      APPLICATIONS
      Electives (Choose between 3 ECTS and 12 ECTS)
      Applied Techniques
      Natural Language Processing3ESpanish
      Autonomous Vehicles3ESpanish
      Applications
      Ambient Intelligence3ESpanish
      Semantic Web and Search Engines3ESpanish

      Academic Year 1 - Semester 2

      3rd. Term
      SubjectsECTSTYPELanguage
      APPLICATIONS
      Electives (Choose between 9 and 15 ECTS)
      Applied Techniques
      Machine Vision3ESpanish
      Applications
      AI in Education3ESpanish
      AI en Finance3ESpanish
      AI in Health3ESpanish
      AI & Sustainable Development3ESpanish
      AI in Robotics3ESpanish
      4th. Term
      SubjectsECTSTYPELanguage
      Internships6C
      Electives (Choose between 3 and 9 ECTS)
      APPLICATIONS
      Applied Techniques
      Business Intelligence3ESpanish
      Applications
      Smart Factories3ESpanish
      Smart Cities3ESpanish
      ETHICAL AND LEGAL ASPECTS, ENTREPRENEURSHIP
      Entrepreneurship in AI3ESpanish
      Master's Thesis
      SubjectsECTSTYPELanguage
      Master's Thesis6TFM

      * 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

      SUBJECTS NOT OFFERED | 22/23 ACADEMIC YEAR

       
      Subjects ECTS TYPE Language
      Reinforcement Learning 3 E Español
      AI in Cybersecurity 3 E Español
      AI in Tourism 3 E Español
      Search and Optimization 3 E Español
      Knowledge Representation and Reasoning 3 E Español
    • 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).

      Graduate Profile and Competences

      • Graduate profile and competences
  • 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
    • BARBER CASTAÑO, RAMÓN
      Department of Systems Engineering and Automation
      Associate Professor
      PhD
      Brief CV
    • BELLUCCI, ANDREA
      Department of Department of Computer Science and Engineering
      Associate Professor
      PhD
      Brief CV
    • CABRAS, STEFANO​
      Departamento de Estadística
      Associate Professor
      PhD
      Brief CV
    • CARBÓ RUBIERA, JAVIER
      Department of 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
    • GARCÍA HERRERO, JESÚS
      Department of 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 Department of Computer Science and Engineering
      Associate Professor
      PhD
      Brief CV
    • LINARES LÓPEZ, CARLOS
      Department of Department of Computer Science and Engineering
      Associate Professor
      PhD
      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
    • PARRADO HERNÁNDEZ, EMILIO
      Department of Signal and Communications Theory
      Associate Professor
      PhD
      Brief CV
    • PEDRAZA CÓRDOBA, JUANITA
      Department of Public State Law
      PhD Assistant Professor
      PhD
      Brief CV
    • VILLENA ROMÁN, JULIO​
      Department of Telematic Engineering
      Profesor Asociado
      PhD
      Brief CV
  • ADMISSION
    • ADMISSION

      Application

      The request is made electronically through our application. Before starting 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.

       

      ADMISSION CRITERIA

      The student selection will be made on the following criteria:

      ADMISSION CRITERIA WEIGHTING
      Academic record 6,5 points
      Knowledge of other languages (B2 or equivalent) 1,5 point
      Motivation, interest and recommendation letters 1 point
      Others 1 point

      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, students with university degrees issued by a higher education institution belonging to an educational system outside the EHEA, must provide, for enrolment, the diploma, legalized by diplomatic procedures or by means of The Hague Apostille. They must also submit the transcript of records, with 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

      FEES *

      2022-2023 Academic year

       

      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

      60 ECTS in the first academic year:

      • EU students: €7,800 (€130/ECTS credit)
      • Non EU students: €11,700 (€195/ECTS credit)

       

      ✎│Programme’s fees


      NOTE: The enrolment fees do not include the cost of issuing the master’s degree certificate.

       


      * Pending approval by the Community of Madrid for the academic year 22/23

      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.

      ✎│Enrolment master’s programmes

      ✎│ECTS credits recognition

  • SCHOLARSHIPS

    UC3M scholarships FOR ACADEMIC YEAR 2022/2023

    CALL AM01-22/23 * │ CLOSED

    For the academic year 2022-2023 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 €1,500

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

     

    Application deadline: 31st May 2022

    Resolutions: February, April and June 2022

    • 1st Resolution published on 4/03/2022
    • 2nd Resolution published on 23/05/2022


    * The number of scholarships and amounts specified in the Annex to the notice may vary depending on the conditions of the candidates who apply for them. They may not even be allocated if decided so by the Selection Committee for each programme.
     

    _______

    📚 │ Scholarships

    ☛ UC3M e-bulletin (BOEL) in Spanish

    SCHOLARSHIPS FROM THE MINISTRY OF EDUCATION 2022/2023 │ CLOSED

    General scholarships for official Master's Degree students for the 2022-2023 academic year.

    • Application deadline: March 30 to May 12, 2022 at 24.00h, peninsular time, both inclusive.
      Application deadline extended until May 16, 2022. 
    • The application must be completed using the form accessible online through the Sede electrónica or at www.educacionyfp.gob.es.

    [+] information

    ECB Scholarship for Women 2022/2023 │ CLOSED

    For the 2022-2023 academic year, the ECB is offering grants of €10,000 each to 15 female students who are enrolled, or are about to enrol, in a master’s course. The scholarships cover four fields of study: economics, statistics, engineering and computing.

    The call offers, among other benefits:

    • grants of €10,000 each
    • a one-week study visit to the ECB

    Application deadlineuntil June 1, 2022

    The application must be made online through the ECB website, attaching the documentation established in the call for applications.

     

    [+] information

    General information on scholarships

    For more information on specific scholarships of interest awarded by UC3M and by other agencies or organisations.

    🎓 │ Scholarships to study a University Master

  • PRACTICAL INFORMATION

    titulo cabecera para sección calendario académico

    Academic Calendar

    Academic Calendar 2022-2023

    titulo cabecera para sección horario del master

    MASTER’S COURSE SCHEDULE

    Check the Master’s schedule (Academic Year 2022/2023) | Coming soon

    Schedule for Academic Year 2022-2023

    Classes will be taught during AFTERNOONS.​

    titulo cabecera para sección secretaría virtual

    VIRTUAL SECRETARIAT

    Access to Virtual Secretariat

    titulo cabecera para seccion recursos materiales del máeter

    Material Resources of the programme

    Madrid - Puerta de Toledo Campus

    titulo cabecera para sección quejas, reclamaciones y sugerencias

    complaints and suggestions

    General Registry Office

    Contact mailbox 

    icono cabecera para sección empleo y practicas

    Employability

    Access to Employment and internships