Graduate School of Engineering and Basic Sciences
- 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
MORE INFORMATION HERE
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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.
- 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)
📥 │ Syllabus content
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".
Academic Year 1 - Semester 1
1st Term Subjects ECTS TYPE Language ETHICAL AND LEGAL ASPECTS, ENTREPRENEURSHIP Ethical and Legal Implications of AI 3 C FUNDAMENTALS AND TECHNIQUES
Electives (Choose 12 ECTS)AI Fundamentals Machine Learning 3 E Evolutionary Computation 3 E Advanced Machine Learning Machine Learning in TImeseries
and Data Streams3 E Neural Networks 3 E Reasoning and Planning Agents and Multiagent Systems 3 E Probabilistic Models and Uncertainty Probabilistic Methods in AI 3 E 2nd Term Subjects ECTS TYPE Language FUNDAMENTALS AND TECHNIQUES
Electives (Choose between 3 ECTS and 12 ECTS)Advanced Machine Learning Deep Learning 3 E Reasoning and Planning Automatic Planning 3 E Probabilistic Models and Uncertainty Reasoning under Uncertainty 3 E APPLICATIONS
Electives (Choose between 3 ECTS and 12 ECTS)Applied Techniques Natural Language Processing 3 E Autonomous Vehicles 3 E Applications Ambient Intelligence 3 E Semantic Web and Search Engines 3 E Academic Year 1 - Semester 2
3rd. Term Subjects ECTS TYPE Language APPLICATIONS
Electives (Choose between 9 and 15 ECTS)Applied Techniques Machine Vision 3 E Applications 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 4th. Term Subjects ECTS TYPE Language Internships 6 C Electives (Choose between 3 and 9 ECTS) APPLICATIONS Applied Techniques Business Intelligence 3 E Applications Smart Factories 3 E Smart Cities 3 E ETHICAL AND LEGAL ASPECTS, ENTREPRENEURSHIP Entrepreneurship in AI 3 E Master's Thesis Subjects ECTS TYPE Language Master's Thesis 6 TFM * 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 AI in Cybersecurity 3 E AI in Tourism 3 E Search and Optimization 3 E Knowledge Representation and Reasoning 3 E - AI Fundamentals
- QUALITY
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
- 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
- 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
- ARMINGOL MORENO, JOSE MARIA
- 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 COMPLEMENTSFormative 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)
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 22/23Additional 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.
Best Practices and Regulations
- ADMISSION
- 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 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.
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 deadline: until June 1, 2022
The application must be made online through the ECB website, attaching the documentation established in the call for applications.
General information on scholarships
For more information on specific scholarships of interest awarded by UC3M and by other agencies or organisations.
- PRACTICAL INFORMATION
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.