A program fully designed for healthcare professionals, entrepreneurs and qualified candidates from Science, Engineering and related disciplines interested in focussing their career towards this area
ARTIFICIAL INTELLIGENCE IN HEALTHCARE
12th Edition. February 2025. Fully online
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, entrepreneurs and qualified candidates from Science, Engineering and related disciplines interested in focussing their career towards this emerging and critical area.
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.
12th Edition. In English. Fully Online.
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 paceSOUND 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 requiredMETHODOLOGY
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 taughtUPDATED CURRICULUM
Which ensures that our students obtain updated knowledge in line with the needs of current company trendsOUTSTANDING PROFESSORS
Lecturers with hands-on experience in the design of Artificial Intelligence in Medicine.COMMUNITY AND ENVIRONMENT
We provide an environment that allows students to enrich the training experience.SPECIALIZATION
Specialize in the sector with the greatest growth in this area of AI in HealthcareUNIVERSITY OF ALCALÁ
One of the best Universities in Europe and distinguished with five stars, the highest rating awarded by QS World University Rankings
Venue
FULLY ONLINE
SCHEDULE
February 10, 2025 - January 2026
Enrollment open until January 1, 2025
Enrollment open until January 1, 2025
Fee
5,900 €
Scholarships and installment payment option available
Scholarships and installment payment option available
Candidate profile
Doctors and other professionals in Healthcare and related sciences such as Pharmaceutics or Biomedical Sciences as well as other qualified candidates interested in developing AI products or services in Healthcare.
87
Students
33
Countries
10
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 MasterLecturers
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
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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Universidad de Alcalá