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Open calls for registrations from 05/10/26 to 12/07/27

Master’s Degree in Applied Artificial Intelligence

MUIAAp

Take the lead in Artificial Intelligence with an innovative, comprehensive and practical program.

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What does this Master’s degree involve?

The Comillas ICAI Master’s Degree in Applied Artificial Intelligence is an official, on-campus programme worth 60 ECTS credits, taught in Madrid. It offers advanced and practical training focused on the real-world application of AI in business and technological environments, including paid work placements.

This master’s programme is aimed at graduates in STEM subjects who wish to specialise and take a significant step forward in their professional profile, positioning themselves at the forefront of the current technological revolution.

Students will be trained in the main techniques of traditional and generative artificial intelligence (machine learning, deep learning, computer vision, natural language processing, large language models (LLMs) and reinforcement learning), with a strong emphasis on their practical implementation. Furthermore, the program takes a cross-disciplinary approach to key aspects such as model operations (MLOPs), data engineering, model explainability, ethics and regulatory compliance.

The Master’s programme is combined with a paid work placement, thanks to ICAI’s extensive network of agreements with leading companies across all sectors. This programme is taught at the Comillas ICAI Campus in Madrid (Calle Alberto Aguilera, 25).

  • Centers
    Engineering (Comillas ICAI)
  • Languages
    Spanish
  • Certification
    Pending verification by ANECA - Official master's degrees
  • Starts On
    01/09/2027
¿Tienes dudas?

Si necesitas más información puedes rellenar el siguiente formulario y recibirás información de este programa.

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Curriculum

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Study Plan

Master’s Degree in Applied Artificial Intelligence / MUIAA 26

1st Term

Credits

  • Agents and Methods of Artificial Intelligence

    6.0 ECTS

  • Machine Learning

    6.0 ECTS

  • Data Engineering

    6.0 ECTS

  • Model Operation

    6.0 ECTS

  • AI Solution Development

    3.0 ECTS

  • Ethics and Explainability

    3.0 ECTS

2nd Term

Credits

  • Deep Learning

    6.0 ECTS

  • Computer Vision

    6.0 ECTS

  • Language Models

    6.0 ECTS

  • Reinforcement Learning

    3.0 ECTS

  • Applications of Artificial Intelligence

    3.0 ECTS

  • Master's Thesis

    6.0 ECTS

Career prospects

Graduates of the Master’s Degree in Applied Artificial Intelligence go on to pursue careers that are in high demand in the technology sector, such as:

  • Artificial Intelligence Specialist

  • Data Scientist

  • Machine Learning Specialist

  • Model Operations Specialist

  • Developer of AI Solutions and Intelligent Systems

  • Specialist in Language Models and Generative AI-Based Systems

  • Architect or Artificial Intelligence Solutions Consultant

  • Specialist in Responsible, Ethical and Explainable AI

  • Consultant in Digital Transformation based on Artificial Intelligence

  • Technical leadership of AI projects and multidisciplinary teams

Designed for those who wish to specialise in the development, implementation and real-world deployment of artificial intelligence solutions.

Throughout the program, students will gain an in-depth understanding of the main techniques in traditional and generative AI — from machine learning and deep learning to computer vision, language models, MLOps and data engineering — with a practical approach that is closely aligned with the current needs of businesses and the technology sector.

An advanced training programme for STEM professionals who wish to take their careers to the next level, lead applied AI projects and develop intelligent solutions with technical expertise, an innovative vision and ethical responsibility.

Not sure which Master’s degree in Artificial Intelligence to choose?

At Comillas, we offer a range of Master’s programmes in the field of Artificial Intelligence. Compare the options and find out which programme best suits your profile, your career goals and your current stage in your degree.

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Work Experience

We prepare you for your future and introduce you to the real world through comprehensive work experience placements.

Information for students

COMPETENCIES

  • CP01. The ability to define and implement artificial intelligence models and algorithms, as well as to interpret and evaluate models proposed at the cutting edge of knowledge, drawing on the mathematical foundations acquired.
  • CP02. The ability to plan, manage and deploy artificial intelligence projects effectively in collaborative environments.
  • CP03. The ability to propose and communicate new ideas for innovation and entrepreneurship in the field of artificial intelligence, applied to various business sectors.
  • CP04. The ability to develop artificial intelligence models within the regulatory and ethical framework, ensuring compliance with legal regulations and ethical principles in their application across various sectors.
  • CP05. Ability to prepare, present and publicly defend before a panel an individual and original piece of work or project that integrates the skills acquired throughout the degree programme.
  • CP06. Propose innovation initiatives, process improvements or digital transformation based on artificial intelligence, assessing their technical feasibility and their organisational and social impact.

KNOWLEDGE OR CONTENT

  • CO01. A thorough understanding of the advanced mathematical concepts underpinning advanced artificial intelligence (generative, probabilistic, geometric and deep reinforcement learning).
  • CO02. Understand the new generative artificial intelligence models for text and image generation.
  • CO03. Be familiar with artificial intelligence algorithms and models based on innovative techniques, including generative, probabilistic, geometric and deep reinforcement learning models.
  • CO04. To master the tools involved in the process of developing and iterating AI models.
  • CO05. Understand the legal and ethical aspects that will govern current and future artificial intelligence across different business sectors.
  • CO06. To be familiar with the latest advances in artificial intelligence published in the most recent scientific literature.
  • CO07. Identify the fields of application for the most cutting-edge and innovative artificial intelligence in the main industrial sectors and anticipate the development of new business models.

SKILLS OR COMPETENCIES

  • HAB01. Define mathematical models of advanced artificial intelligence algorithms and have the foundations to understand those proposed by other authors.
  • HAB02. Create generative artificial intelligence models that enable the development of business solutions by optimising their performance across various applications, within complex and constantly evolving contexts.
  • SKILL 03. Develop and innovate artificial intelligence solutions that improve existing models through new, advanced techniques based on deep learning.
  • HAB04. Deploy artificial intelligence applications in production environments that allow for the retraining of models.
  • HAB05. Apply artificial intelligence models within the regulatory framework whilst respecting ethical considerations in their application.
  • HAB06. Develop artificial intelligence applications across key industrial sectors, understanding the specific needs and challenges of each sector.
  • HAB07. Conduct literature reviews using documentary sources for the development of research projects.
  • HAB08. Analyse, understand and apply critical judgement to new developments in the field of artificial intelligence.

Admissions process

Follow all the steps in our admissions process and become a student at Comillas

01

Apply for admission

Please complete the form with your details and provide the supporting documents proving that you meet the entry requirements.

02

Validation

The General Secretariat will review the documentation and notify you once it has been validated.

03

Interview

Candidates will sit the entrance interviews.

04

Resolution

We will let you know if you have been accepted.

05

Enrolment

You will officially be a student at Comillas.

  • Registration

    2.073,00€
  • Monthly

    1.653,60€
  • During

    8 meses
  • Total

    15.301,80€

Faculty of teachers

Quality and regulations

Information on the quality and official regulations governing the qualification.

Informative documentation relating to the official status of the qualification

Quality Management System

Monitoring of the degree: Composition of the School Board

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ICAI Quotations

25 Alberto Aguilera Street.

The tradition of the Higher Technical School of Engineering (Comillas ICAI) in training engineers began in Madrid in 1908. Today, Comillas ICAI is a polytechnic university whose academic focus is on Industrial Engineering, Telecommunications Engineering, and Mathematics and Artificial Intelligence.

Related studies

  • Engineering
  • Official master's degrees
  • Spanish
  • 1.5 years (90 ECTS)
  • Engineering
  • Comillas master's degrees
  • 1 year (60 ECTS)
  • Engineering
  • Official master's degrees
  • English, Spanish
  • 1 year (60 ECTS)

Frequently Asked Questions

  • The Master’s in Artificial Intelligence (90 ECTS, 1.5 years) offers a broader, research-oriented programme, whilst the Master’s in Applied AI (60 ECTS, 1 year) focuses on the practical implementation of AI techniques in business and technological settings, with an emphasis on MLOps and model deployment.

  • The Master’s degree is aimed at graduates in STEM subjects (engineering, mathematics, physics, computer science or similar) who wish to specialise in applied artificial intelligence.

  • Yes, the Master’s programme allows you to combine your studies with paid work placements in companies, thanks to Comillas ICAI’s extensive network of partnerships with leading companies across all sectors.

  • The Master’s degree in Applied AI at Comillas ICAI is a one-year full-time programme (or a two-year part-time programme), comprising 12 subjects and taking a cross-disciplinary approach to model explainability, ethics and regulatory compliance in artificial intelligence.

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Prospective Students’ Office

C/ Alberto Aguilera, 21 - 28015 Madrid

Tel.: 91 540 61 32
Fax: 91 559 65 69

Email: futurosalumnos@comillas.edu

Check our opening hours.

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