A program designed for healthcare professionals and medical doctors, as well as candidates from Science and Engineering fields interested in specializing in this area, particularly physicians in traumatology, cardiology, surgery and other medical specialties.

ARTIFICIAL INTELLIGENCE IN HEALTHCARE

16th Edition. February 2026. Fully online
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Master de Formación Permanente in Artificial Intelligence in Healthcare
Presentation

The Master in Artificial Intelligence in Healthcare aims to provide comprehensive training in Artificial Intelligence in Healthcare diagnostic and decision-making.

A program fully designed for healthcare professionals, medical doctors, and qualified candidates from Science, Engineering, and related disciplines who wish to focus their career in this field. It is particularly oriented toward physicians in specialties such as traumatology, cardiology, surgery, and other medical areas seeking to integrate advanced technological and analytical skills into clinical practice and medical innovation..

PROGRAM OBJECTIVES:

After finishing the program you will:

  • Understand the foundations of Machine Learning and how it can enhance decision-making in a Healthcare context.
  • Have a deep knowledge of the uses and applications of Artificial Intelligence for Healthcare.
  • Be able to conceptualize and develop solutions based on Artificial Intelligence using the available tools.
  • Understand the Ethical, Legal, Economic, and Social implications of the use of AI in Healthcare.

16th Edition. In English. Fully Online.

Master in Artificial Intelligence and Deep Learning - Universidad of Alcalá - UAH
What do we offer?

COMPATIBLE WITH WORK

The program is compatible with a professional activity. Contents and evaluations can be accessed through an e-learning platform that is accessible 24/7, allowing the student to follow the program at their own pace.

SOUND PREPARATION

A sound preparation with 60 ECTS (European Credit Transfer System) which allows to cover in depth all the concepts and applications. Master designed for health professionals. No programming knowledge required.

METHODOLOGY

Online Classes, with pre-recorded and on live sessions scheduled on selected dates. The program is modularized in weeks, during each of when only one subject is taught.

UPDATED CURRICULUM

This ensures that our students obtain updated knowledge in line with the needs of current company trends.

OUTSTANDING PROFESSORS

Lecturers with hands-on experience in the development and clinical application of Artificial Intelligence in Medicine, including practicing physicians and specialists.

COMMUNITY AND ENVIRONMENT

We provide a collaborative learning environment that enhances the training experience, supported by interactive discussion forums and academic dialogue spaces that foster knowledge exchange among students and faculty.

SPECIALIZATION

Specialize in one of the fastest-growing and most strategic areas of Artificial Intelligence in Healthcare, positioning yourself at the forefront of medical innovation and clinical transformation.

UNIVERSITY OF ALCALÁ

One of the leading Universities in Europe, distinguished with five stars — the highest recognition awarded by the QS World University Rankings.

Venue
FULLY ONLINE. Online classes, with pre-recorded and live sessions scheduled
SCHEDULE
February 9, 2026 - January, 2027
Enrollment open until January 10, 2026
Fee
5,900 €
Scholarships and installment payment option available
Candidate profile

Designed for medical doctors and technical professionals committed to advancing Artificial Intelligence in Healthcare

Doctors and professionals in Healthcare and related sciences such as Pharmaceutics or Biomedical Sciences, as well as qualified candidates wishing to develop AI-driven solutions for the medical sector, with a particular focus on clinical application and healthcare innovation.

125
Students
33
Countries
15
Editions
Program

Master in Artificial Intelligence in Healthcare

ARTIFICIAL INTELLIGENCE AND DEEP LEARNING

  • Foundations of Artificial Intelligence and Machine Learning
  • Supervised Learning
  • Unsupervised and semi-supervised Learning
  • Reinforced Learning

MACHINE LEARNING AND BIOMEDICAL DATA

  • Biomedical Repositories and Public Data
  • Management of Omics Data

AI IN MEDICAL IMAGING DIAGNOSIS

  • Machine Learning in CT/MR, X-ray and Ultrasound images
  • AI in Radiotherapy Planning
  • Patient-centered diagnosis and performance measurement

AI IN HEALTHCARE MANAGEMENT AND BUSINESS MODELS

  • Hybrid human-machine teams
  • Process re-design
  • Governance of AI and Ethics
  • Business cases

AI IN TELEMEDICINE

  • Virtual Healthcare Assistants
  • Natural Language Processing
  • Video and Speech Recognition Techniques
  • Interpretability and explainable AI

AI IN PHARMA AND DRUG DESIGN

  • Drug discovery and development applications with Machine Learning
  • Large Molecule Drug discovery
  • Applications of ML in the Pharmaceutical sector

SEMINARS

  • Seminars on applications of AI to the fields of medicine

MASTER’S THESIS

Independent research paper performed by the student on one of the topics of the Master. The paper needs to be presented and defended against a Committee at the end of the Master
Lecturers

The professors of the Master in Artificial Intelligence in Healthcare are a group of professionals with hands-on experience in the application of Artificial Intelligence in Medicine

Tenured Associate Professor of Economics (Finance) and of Computer Science (Artificial Intelligence). Fulbright Visiting Scholar in several US Universities and consultant for several Spanish Fortune 500 companies and for the Government. He has authored more than 100 publications and has lectured in the USA, Asia and Latin America. Director of the Laboratory of Computational Finance and Head of the Chair in Big Data and Predictive Analytics in Banking of the University of Alcalá.
Ignacio Olmeda, Ph.D.
Director, UAH

Francisco Soler has a PhD in Computer Science in AI and a Bachelor in Mathematics. Professor in different Masters in Deep Learning area. It has more than 150 publications in prestigious international conferences and journals. Around private companies, he led the creation of Big Data-Analytics area in the technological consultancy Altran, a company specialized in Analytics and AI, he is currently part of the Artificial Intelligence division at Accenture as AI Senior Manager in Spain, Portugal and Israel.
Francisco Soler, Ph.D
Lecturer, Accenture

Luis Usero holds a degree in Computer Engineering from Universidad Carlos III and a PhD and Master's in University Teaching from Universidad de Alcalá. He has published numerous research articles and collaborates biweekly with Onda Cero as an Artificial Intelligence expert, contributing to eldiario.es and the Instituto Franklin. Currently, he coordinates the Cognitive Science research group and heads the Computer Science Department at Universidad de Alcalá
Luis Usero, Ph.D.
Lecturer, UAH

Juan Andres Aviles is a Telecommunications Engineer from the Polytechnic University of Valencia. He has more than 25 years of experience in the Information Technology sector, mainly at IBM Spain. Since his beginnings in the sector, he has always been associated with new technologies and innovation. He currently holds a position as technical director for Spain, Portugal and Greece, leading a team of IT architects with a focus on Industrial solutions, cognitive solutions and blockchain.
Juan Avilés
Lecturer

Computer Scientist specialized in AI research and Data Analytics. He has a master’s degree in Big Data, and an expert program in Deep Learning. He works at Altran "World Class Center for Analytics" (Tessella) since 2015 where now at days he leads the AI R&D in the Spanish division.
Daniel Martínez
Lecturer

Tugay Önal is a Medical Doctor with a diverse background in healthcare, and he is passionate about advancing healthcare through the integration of artificial intelligence. Having graduated from Kocaeli University School of Medicine, Tugay worked as a chief physician, overseeing departments such as Public Health, Mental Health, and Health Improvement in Istanbul
Tugay Önal, Ph.D.
Lecturer, Pfizer

Physics specialized in quantum computing. Joined the Microsoft Quantum Docs team. She is currently working on writing the documentation for Q # and Azure Quantum. She studied theoretical physics at the Complutense University and a master's degree in Quantum Physics at the University of Innsbruck (Austria).
Sonia López
Lecturer, Microsoft
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University of Alcalá
Contact
masteraihealth@uah.es
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Universidad de Alcalá
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