# Master's Program in AI for Healthcare Professionals | IAcademia > Online master's program in AI for healthcare professionals. 60 ECTS accredited by UCAM. 7 months of practical training. 5th edition now open. 60 ECTS · UCAM Duration: 7 months Start date: 10/15/2026 # Master's in Artificial Intelligence for Healthcare Professionals Enrollment open · closes November 15, 2026 More information Accredited by![UCAM](https://www.iacademia.es/_next/image?url=%2Fassets%2Fshared%2Fucam-logo-white.png&w=640&q=75) In collaboration with![Conferencia Nacional de Decanas y Decanos de Enfermería](https://www.iacademia.es/_next/image?url=%2Fassets%2Fhome%2Fpartner-13.png&w=1920&q=75) 4.3 Trustpilot +3,000 professionals trained - Why now - Overview - Format - Teachers - Collaborators - Curriculum - Living programme - Methodology - Qualification - Careers - Price - FAQ The starting point ## Why now Nobody needs convincing that artificial intelligence has reached healthcare. What is missing is training, and that comes from them, not from us. Out of every 100 primary care professionals in Spain No specific AI training With training 73.7% have not received specific artificial intelligence training in the last five years. [SEMG, June 2025](https://www.semg.es/index.php/noticias/item/1329-noticias-semg-20250612-2) Out of every 100 professionals and clinics not yet using AI Names training as the barrier Names another barrier 43% name lack of training as the main barrier to adopting AI. [Doctoralia Health Trends 2025](https://press.doctoralia.es/404592-el-47-de-profesionales-y-clinicas-creen-que-la-ia-es-clave-para-reducir-la-carga-administrativa-segun-un-informe-de-doctoralia) What's included ## What does the program include? 60 ECTS ### Acreditación![UCAM](https://www.iacademia.es/_next/image?url=%2Fassets%2Fshared%2Fucam-logo-white.png&w=640&q=75) Official university degree with real academic backing. 100% ### Learn by doing Real tool exercises from day one. 2 wk ### Live webinars Sessions with instructors to answer questions in real time. +3K ### Active community Healthcare professionals sharing resources and experiences. The format ## In AI, the format is the content A recorded syllabus ages while you study it. These nine differences decide whether, come June, you will know how to use what exists in June, or what existed the day someone hit record. What you usually find This masterRecommended 01 What you do What you usually findWatch videos, highlight, and reach Monday with no idea where to start. This masterYou apply from the first unit. Every case study was rebuilt from scratch for this edition. 02 What gets updated What you usually findRecorded once, and there it stays. This masterSeventeen live Master Days. Each one is prepared in the days before, with whatever came out that week.17 Master Day 03 Who can join What you usually findEntry test, interview or prior grounding in statistics and computing. This masterYour university degree, full stop. Any field of study, no test, no interview and no coding background. 04 What you work with What you usually findEverything revolves around ChatGPT. This masterMore than 20 tools, the ones used this edition: ChatGPT, Claude, Gemini, NotebookLM, Copilot, ElevenLabs and whatever else is needed.![ChatGPT](https://www.iacademia.es/assets/herramientas/chatgpt.png)![Gemini](https://www.iacademia.es/assets/herramientas/gemini.svg)![Ecosistema Google](https://www.iacademia.es/assets/herramientas/ecosistema-google.png)![Claude](https://www.iacademia.es/assets/herramientas/claude.png)![Microsoft Copilot](https://www.iacademia.es/assets/herramientas/microsoft-copilot.svg)![NotebookLM](https://www.iacademia.es/assets/herramientas/notebooklm.svg)![Cursor](https://www.iacademia.es/assets/herramientas/cursor.png)![Lovable](https://www.iacademia.es/assets/herramientas/lovable.png) y más 05 What you practise on What you usually findGeneric examples, usually from business. This masterCases from clinics, wards, pharmacies or labs. And a final project built on a case from your own job. 06 Who teaches you What you usually findSomeone explaining AI theory who has never set foot in a health centre. This masterWorking health professionals. Three collaborators sit on the semFYC group on AI and Digital Health.![Esther Gómez](https://www.iacademia.es/_next/image?url=%2Fassets%2Fequipo%2Festher-gomez.jpeg&w=3840&q=75)![Ernesto Ibáñez](https://www.iacademia.es/_next/image?url=%2Fassets%2Fequipo%2Fernesto-ibanez-v2.jpg&w=3840&q=75)![Marta Domínguez del Campo](https://www.iacademia.es/_next/image?url=%2Fassets%2Fequipo%2Fmarta-dominguez.jpg&w=3840&q=75)![María Eva Pérez Martínez](https://www.iacademia.es/_next/image?url=%2Fassets%2Fequipo%2Feva-perez.jpeg&w=3840&q=75)![Federico Juárez](https://www.iacademia.es/_next/image?url=%2Fassets%2Fequipo%2Ffederico-juarez.png&w=3840&q=75) +1 07 Who backs you up What you usually findThe material, and questions by email if you are lucky. This masterTutors who answer, a community of health professionals and 280 days of access to come back whenever you need. 08 What you take away What you usually findAn attendance certificate from the platform itself. This masterA UCAM Título Propio, 60 ECTS and issuing fees included. With the small print up front, not hidden.![UCAM](https://www.iacademia.es/_next/image?url=%2Fassets%2Fshared%2Fucam-logo-white.png&w=640&q=75) 60 ECTS 09 What else is included What you usually findWhat you buy and nothing else. This masterThe course Master Google AI in a single week, free if you enrol before 15 October 2026. You start winning back an hour a day without waiting for the master to begin.[![Ecosistema Google](https://www.iacademia.es/assets/herramientas/ecosistema-google.png) Domina la IA de Googleincluido con la matrícula](https://www.iacademia.es/en/domina-la-ia-de-google) [See both options](#precios) Places for the 5th edition, 15 October 2026 to 15 June 2027. The faculty ## Who teaches the course Six teachers with a day job besides these classes: nursing, care research, the UCAM Chair in AI, digital transformation at Google and digital health consultancy. Hover or tap a card to see the full background and their LinkedIn. ![Federico Juárez](https://www.iacademia.es/_next/image?url=%2Fassets%2Fequipo%2Ffederico-juarez.png&w=3840&q=90) ### Federico Juárez COO and founder of IAcademia · Director of the UCAM AI Chair Ver biografía ### Federico Juárez Master's Lecturer Back COO and founder of IAcademia and Director of the UCAM AI Chair. **COO and founder of IAcademia** and **Director of the UCAM AI Chair**. Has founded and developed several AI startups such as *AI Educonsulting*, *AI Open Academy* and *Quixmind*. Postgraduate AI training at the **Singularity University**, the AI Institute, **Harvard Medical School** and the **MIT**.**Over 30 years of experience** in educational and healthcare technology training. [LinkedIn](https://www.linkedin.com/in/federicojuarez/) ![Ernesto Ibáñez](https://www.iacademia.es/_next/image?url=%2Fassets%2Fequipo%2Fernesto-ibanez-v2.jpg&w=3840&q=90) ### Ernesto Ibáñez Academic Director · Master's in AI and Health from MIT Ver biografía ### Ernesto Ibáñez Master's Lecturer Back CEO of AI Open Academy, an AI consulting firm. **CEO of AI Open Academy**, an AI consulting firm.**Academic Director** of the Master's in AI for Healthcare Professionals accredited by **UCAM**.**Master's in AI and Health** at the **Massachusetts Institute of Technology (MIT)**. Creator and communicator of AI content as *@salutecnia*. [LinkedIn](https://www.linkedin.com/in/ernesto-ib%C3%A1%C3%B1ez-ortega-18b947275/) ![Esther Gómez](https://www.iacademia.es/_next/image?url=%2Fassets%2Fequipo%2Festher-gomez.jpeg&w=3840&q=90) ### Esther Gómez CEO of IAcademia · Nurse · Associate professor at UAM Ver biografía ### Esther Gómez Master's Lecturer Back CEO of IAcademia, recognized by Forbes among the 50 most influential health communicators. **CEO of IAcademia**. Nurse and scientific and health communicator, recognized by Forbes among the 50 most influential health communicators.**Associate professor** at the **Autonomous University of Madrid**.**Master's in AI for Healthcare Professionals**. Co-founder of *Cuidología*. Author of the book *De la cabeza a los pies*. [LinkedIn](https://www.linkedin.com/in/esther-g%C3%B3mez/) ![Mariano Salas](https://www.iacademia.es/_next/image?url=%2Fassets%2Fmaster%2Fmariano-salas.png&w=3840&q=90) ### Mariano Salas Digital Transformation Manager at Google Spain Ver biografía ### Mariano Salas Master's Lecturer Back Digital Transformation Manager at Google Spain. **Digital Transformation Manager** at **Google** Spain. Founder of the *International Observatory of Artificial Intelligence for Education*. [LinkedIn](https://www.linkedin.com/in/marianosalas/) ![Marta Domínguez del Campo](https://www.iacademia.es/_next/image?url=%2Fassets%2Fequipo%2Fmarta-dominguez.jpg&w=3840&q=90) ### Marta Domínguez del Campo Research Director · PhD in Nursing Ver biografía ### Marta Domínguez del Campo Master's Lecturer Back PhD in Nursing and Director of Research at IAcademia. **PhD in Nursing** and **Director of Research at IAcademia**. Nurse researcher and a leading figure in nursing care at the Teaching, Research and Innovation Unit of *Parc Sanitari Sant Joan de Déu*.**Mental health nurse specialist** (AEESME). University lecturer at *Campus Docent Sant Joan de Déu*.**Master's in AI for Healthcare Professionals** and **Master's in Management and Technological Application of Self-Care Knowledge**. Communicator at *@investigandocuidamos*. [LinkedIn](https://www.linkedin.com/in/marta-dom%C3%ADnguez-del-campo-313006229) ![María Eva Pérez Martínez](https://www.iacademia.es/_next/image?url=%2Fassets%2Fequipo%2Feva-perez.jpeg&w=3840&q=90) ### María Eva Pérez Martínez CEO of Mirlo Blanco Health Care · Digital Health consultant Ver biografía ### María Eva Pérez Martínez Master's Lecturer Back CEO of Mirlo Blanco Health Care, S. **CEO of Mirlo Blanco Health Care, S.L.** Digital Health Consultant.**Master's in AI in Healthcare**.**Nurse specialized in NBC risks**. Innovation projects in *AI*, *Digital Health* and *Extended Reality* technologies. [LinkedIn](https://www.linkedin.com/in/m-eva-p%C3%A9rez-mart%C3%ADnez-b76700261/) Who supports it ## Who else takes part Eight working professionals who bring their experience to the programme. Three of them sit on the semFYC working group on Artificial Intelligence and Digital Health. Susana Manso García Specialist in Family and Community Medicine and in Radiology Member of the semFYC working group on AI and Digital Health. Medical director of Pulso Ecografías Diagnósticas. María Ángeles Medina Family and Community Medicine specialist President of the Valencian society of family medicine and member of the semFYC working group on AI and Digital Health. Lucía Gorreto López Family and Community Medicine specialist President of the Balearic society of family medicine and head of the technical office of Primary Care in Mallorca. Jordi Pérez González Primary care physician Jaime Bona Family and Community Medicine specialist Coordinator of the semFYC working group on AI and Digital Health. Rafael Aura Business analyst Pedro Enrique Martínez González Co-founder of Arthromodel, a startup at CEEIM Operable anatomical biomodels that surgeons and podiatrists use to rehearse an operation before theatre. Horacio Pérez Sánchez Principal Investigator of the Structural Bioinformatics and High-Performance Computing group at UCAM Two Marie Curie fellowships. His group applies supercomputing to the discovery of bioactive compounds. The syllabus ## Curriculum 01 ### General Module 6 ECTS Unit 1: Understanding AI and its impact 2 ECTS - What artificial intelligence is and how it has evolved - Why it is transforming healthcare - Real-world cases in hospitals and health centers Unit 2: Core concepts in artificial intelligence 2 ECTS - Machine learning and deep learning - Natural language processing - Generative models - Foundations to understand any AI tool Unit 3: Ethics, privacy and security in artificial intelligence 2 ECTS - Ethical framework for responsible AI use in healthcare - GDPR and patient data protection - Algorithmic bias and how to mitigate it 02 ### Clinical Care Module 24 ECTS Unit 4: Conversational assistants for health education 4 ECTS - Building chatbots and virtual assistants - Patient education with conversational AI - Answering common questions - Improving treatment adherence Unit 5: AI in patient monitoring and emotional support 4 ECTS - Detecting emotional deterioration signals with AI - Monitoring patient well-being - Adaptive emotional support with smart tools Unit 6: Practical applications of generative AI in clinical monitoring and follow-up 4 ECTS - Clinical data analysis with generative models - Automated report generation - Personalized patient follow-up Unit 7: Virtual and extended reality technologies in patient care 4 ECTS - Virtual reality for rehabilitation - Immersive clinical training - Augmented reality in surgical procedures Unit 8: AI applied to metabolic health: Nutrition, exercise and behavior change 4 ECTS - Personalized nutrition plans with AI - Smart exercise prescription - Healthy habit change tracking Unit 9: Wound monitoring with AI 4 ECTS - Computer vision to assess wound evolution - Stage classification - Care protocol optimization 03 ### Teaching & Research Module 15 ECTS Unit 10: AI-based educational content creation 3 ECTS - Creating presentations with generative AI - Video and infographic production - Multimedia resources for healthcare training Unit 11: Building assistants and avatars for educational purposes 3 ECTS - Interactive virtual assistant design - Avatars for tutoring and clinical simulations - Immersive learning experiences Unit 12: Microsoft AI ecosystem 3 ECTS - Microsoft Copilot for clinical productivity - Azure AI and its healthcare applications - Automation with Microsoft tools Unit 13: Getting started with AI-powered research 3 ECTS - Methodology for designing AI research projects - Hypothesis formulation and experimental design - Results analysis with smart tools Unit 14: Improving literature searches with AI 3 ECTS - Smart PubMed searches - AI-assisted systematic reviews - Intelligent bibliographic reference management 04 ### Clinical Management Module 9 ECTS Unit 15: Improving productivity with AI in healthcare settings 3 ECTS - Administrative task automation - Clinical workflow optimization - More time for what matters: the patient Unit 16: AI-driven automation in healthcare management 3 ECTS - No-code and low-code automation tools - Streamlining hospital management processes - Automations for primary care Unit 17: Building applications with AI 3 ECTS - From user to creator - Build digital applications without coding (forms, dashboards, clinical panels) - AI as a copilot: AI-assisted code editor, databases and version control - Deploy your own web app without depending on technical teams 05 ### Master's Thesis 6 ECTS Master's Thesis 6 ECTS - Individual tutored project - Practical application to a real case in your professional environment - Thesis defense before a panel Living programme · 5th edition ## In AI, *six months* is already old That is why the syllabus you have just seen was rebuilt for this edition, not inherited from the last one: new case studies and the tools people are actually using now. When you finish in June, what you put to work day to day will be from this course, not what was new two years ago. 17 live Master Days 15 days between sessions V edition, 2026/27 0 classes prepared months in advance ### 1 · Some of the tools of this edition You work with the ones used *this month* ![ChatGPT](https://www.iacademia.es/assets/herramientas/chatgpt.png)**ChatGPT**![Gemini](https://www.iacademia.es/assets/herramientas/gemini.svg)**Gemini**![Ecosistema Google](https://www.iacademia.es/assets/herramientas/ecosistema-google.png)**Ecosistema Google**![Claude](https://www.iacademia.es/assets/herramientas/claude.png)**Claude**![Microsoft Copilot](https://www.iacademia.es/assets/herramientas/microsoft-copilot.svg)**Microsoft Copilot**![NotebookLM](https://www.iacademia.es/assets/herramientas/notebooklm.svg)**NotebookLM**![Cursor](https://www.iacademia.es/assets/herramientas/cursor.png)**Cursor**![Lovable](https://www.iacademia.es/assets/herramientas/lovable.png)**Lovable** ![Stitch](https://www.iacademia.es/assets/herramientas/stitch.png)**Stitch**![n8n](https://www.iacademia.es/assets/herramientas/n8n.png)**n8n**![ElevenLabs](https://www.iacademia.es/assets/herramientas/elevenlabs.png)**ElevenLabs**![HeyGen](https://www.iacademia.es/assets/herramientas/heygen.png)**HeyGen**![Hugging Face](https://www.iacademia.es/assets/herramientas/hugging-face.svg)**Hugging Face**![Consensus](https://www.iacademia.es/assets/herramientas/consensus.png)**Consensus**![Elicit](https://www.iacademia.es/assets/herramientas/elicit.png)**Elicit** Trademarks belong to their respective owners. They appear because the master's degree works with them, not because they sponsor the programme. ### 2 · This week reaches you live Every Master Day is prepared in the days before it is given, with whatever came out those days. If a tool launches in March, you work with it in the March Master Day, not in next year's edition. The whole syllabus, reviewed for the 5th edition and available from 15 October Live Master Day, every 15 days The syllabus above, reviewed and complete from day one ### Rebuilt every edition - The case studies, with the current tools - The tools in every unit - Every Master Day, in the days before it is given ### Guaranteed in every edition - The UCAM Título Propio you receive - The 60 ECTS and the issuing fees included - The dates: 15 Oct 2026 to 15 Jun 2027 How you learn ## Our Methodology Built so you actually learn, not so you collect PDFs. ![The IAcademia team at the AI and Health Congress](https://www.iacademia.es/_next/image?url=%2Fassets%2Fcongreso%2Fequipo-4.jpeg&w=3840&q=75) Behind the method there are people, not a platform Short lessons in video, text and infographics, designed for the gaps you actually have, not for two-hour sittings. And every 15 days, a live Master Day with the teachers. +20 AI tools 280 Days of access 17 Thematic blocks 6 Expert lecturers Beginner ### Multimodal microlearning Short lessons in video, text and infographics. Learn at your pace, no fixed schedule. Like Netflix, but for AI. ### Learn by doing Hands-on exercises with ChatGPT, Copilot, PubMed AI and +20 tools. You apply what you learn from day one. ### Live webinars Every two weeks, a live session with the teachers. Questions, real cases and networking with professionals like you. Expert The qualification ## Qualification, entry and assessment Which qualification you get, who can enrol, how it is assessed and on what dates. Fine print up front, not buried in an FAQ. ![UCAM](https://www.iacademia.es/_next/image?url=%2Fassets%2Fshared%2Fucam-logo-white.png&w=640&q=75) Flip it What you get when you finish UCAM Own Degree Continuing Education Master's. Certificate issuing fees included in the price. 4 modules + final project 17 blocks The small print, in full What the qualification is A UCAM Título Propio, awarded as a Máster de Formación Permanente. It carries the workload and structure of a master, which is why it is called one, but it is not an official degree of the kind ANECA verifies. Doctorate It does not give direct access to a doctorate. That requires an official master. If your plan is a PhD, this is not your master. Public job listings As a 60 ECTS university Título Propio, it can score points in public job pools and competitive exams. The rules of each call and region decide: check them before counting on it. Back ### Entry requirements A university degree In any field. It is built for health professionals, but if you come from elsewhere and want to apply AI in healthcare, you can take it too. No prior knowledge of technology or programming is required: it starts from scratch. ### How you are assessed One test per unit and a final project The final project is 6 of the 60 ECTS and you build it around a case from your own job, not an invented scenario. ### 5th edition dates 15 Oct 2026 to 15 Jun 2027 Seven months of syllabus, plus an eighth month to catch up on anything you have pending. ### How you study 100% online, at your own pace A live Master Day every 15 days and 280 days of platform access. With Master + Mentoring, 365 days. [Request information](https://www.iacademia.es/contacto) More information We answer your questions before you decide. Where it takes you ## Career Paths 01 ### Develop AI solutions for hospital settings and streamline daily repetitive tasks. ![Develop AI solutions for hospital settings and streamline daily repetitive tasks.](https://www.iacademia.es/_next/image?url=%2Fassets%2Fmaster%2Fsalida-hospital.jpg&w=3840&q=75) ![Develop AI solutions for hospital settings and streamline daily repetitive tasks.](https://www.iacademia.es/_next/image?url=%2Fassets%2Fmaster%2Fsalida-hospital.jpg&w=3840&q=75) 02 ### Work on applied research projects in the development and application of artificial intelligence algorithms. ![Work on applied research projects in the development and application of artificial intelligence algorithms.](https://www.iacademia.es/_next/image?url=%2Fassets%2Fmaster%2Fsalida-research.jpg&w=3840&q=75) ![Work on applied research projects in the development and application of artificial intelligence algorithms.](https://www.iacademia.es/_next/image?url=%2Fassets%2Fmaster%2Fsalida-research.jpg&w=3840&q=75) 03 ### Create and lead startups or companies focused on developing innovative AI-based solutions in healthcare. ![Create and lead startups or companies focused on developing innovative AI-based solutions in healthcare.](https://www.iacademia.es/_next/image?url=%2Fassets%2Fmaster%2Fsalida-startup.jpg&w=3840&q=75) ![Create and lead startups or companies focused on developing innovative AI-based solutions in healthcare.](https://www.iacademia.es/_next/image?url=%2Fassets%2Fmaster%2Fsalida-startup.jpg&w=3840&q=75) [Video testimonials Hear from people who have already taken it, with their name and their face Eight video testimonials: nursing, medicine, midwifery, research and teaching Watch the testimonials](https://www.iacademia.es/#reels) Testimonials ## Hear from our students “What I liked most were the webinars during the program.” Mª Dolores I. Master's in AI for Healthcare Professionals “Great program. The community is a real plus.” Carlos M. Master's in AI for Healthcare Professionals “You are excellent instructors, you clearly know what you're talking about and teach with passion.” Maite M. Master's in AI for Healthcare Professionals “Thank you for driving this training initiative. I hope it won't be the last.” Elena G. Master's in AI for Healthcare Professionals “It opened my eyes to the wide range of possibilities that AI offers us.” Ana B. Master's in AI for Healthcare Professionals “A comprehensive course for getting started with AI tools applicable to healthcare.” Ana V. Intensive Course on AI in Clinical Management Pricing and formats ## Choose your plan Two ways to take the program. The same master's, with or without personalized coaching. [![Ecosistema Google](https://www.iacademia.es/assets/herramientas/ecosistema-google.png) Included with enrolment Master Google AI in a single week The short course that starts winning you back an hour a day from week one, while the master gets going. Free with either option if you enrol before 15 October 2026. See the course](https://www.iacademia.es/en/domina-la-ia-de-google) Most popular ### Master's Ask about available discounts Certificate issuance fees included. The 500 EUR enrolment fee is included in the price (non-refundable). - 60 ECTS accredited by UCAM - 7 months · 100% online - Biweekly webinars with faculty - Learning community - Own-degree university certificate (UCAM) - 280 days of platform access More information [Discounts? Talk to us](https://www.iacademia.es/contacto) ### Master's + Advising Ask about available discounts Certificate issuance fees included. The 500 EUR enrolment fee is included in the price (non-refundable). - 60 ECTS accredited by UCAM - 7 months · 100% online - Biweekly webinars with faculty - Learning community - Own-degree university certificate (UCAM) - 365 days of platform access - 10 one-on-one sessions with experts - Recorded sessions available for 365 days - Personalized follow-up [Request information](https://www.iacademia.es/contacto) Ask about financing options and available discounts. Frequently asked questions ## What you ask the most We answer the most common doubts before you enroll. If you still have one, get in touch. ![Ernesto Ibáñez](https://www.iacademia.es/_next/image?url=%2Fassets%2Fequipo%2Fernesto-faq.jpeg&w=3840&q=75) Academic director of the master Ernesto Ibáñez Got a question about the master you want answered right now? Request information 01 What exactly is this master? A **UCAM Título Propio of 60 ECTS**, fully online, built to apply artificial intelligence in your work in healthcare. - **17 units** across 4 modules, plus the final project - **More than 20 AI tools**, the ones used this edition - **6 teachers** and 8 collaborators, all of them working professionals 02 Is it an official master's degree? **No.** It is a Título Propio accredited by UCAM, awarded as a *Máster de Formación Permanente*. It carries the workload and structure of a master, which is why it is called one, but **it is not an official degree** of the kind ANECA verifies. In practice that means two things: - **No direct access to a doctorate.** That requires an official master. - **It can score points** in public job pools and competitive exams, as a 60 ECTS university Título Propio. The rules of each call and each region decide, so check them before counting on it. 03 Can I join? Is it right for my background? You need a **university degree, in any field**. It is built for health professionals in any setting, clinical practice, nursing care, management, and teaching and research, and also for people working around healthcare **from the technical side**: biomedical engineering, health engineering, bioinformatics or computing. And if you come from another field and want to apply AI to health, you can take it too. 04 Do I need a background in technology or programming? Not at all: the master starts from scratch. And if you already come from a tech background, all the better, you will get more out of the hands-on units. 05 What does each option include? **Both include** the 60 ECTS, the UCAM Título Propio with issuing fees paid, the live Master Days every 15 days and the community of professionals. - **Master:** 280 days of platform access. - **Master + Mentoring:** 365 days of access, plus 10 one-to-one sessions with experts, the recordings for that same period and personal follow-up. 06 How much time does it take, and what if I fall behind? **As much as you can give.** It is self-paced, with short lessons in video, text and infographics designed so you can make progress around shift work, and you get **280 days of access** (365 with mentoring) to come back whenever you need. And if you get stuck you are not alone: there are tutors, a community and **a catch-up month** at the end of the course. 07 Are the live Master Days compulsory? No. They run every 15 days and are recorded. If you attend, you get direct contact with the teachers; if you cannot, you watch them whenever suits you. 08 How is it assessed? A test at the end of each unit and a final project worth 6 ECTS, built around a case from your own job. 09 When does it start and when do I get access? The 5th edition runs from 15 October 2026 to 15 June 2027: seven months of syllabus plus an eighth catch-up month. You can enrol in advance; in that case access to the content opens on the start date and we let you know when it is available. 10 And afterwards? What is it good for? **You finish with a project already built** and applied to your own job: the final project is not a classroom exercise. And you finish knowing how to do concrete things, each in your own field: - **In clinical practice.** Assistants that answer your patients' most frequent questions, reports and follow-ups you write by hand today, analysis of data and images, plans for nutrition, exercise and habit change, support for patient wellbeing, and virtual reality for rehabilitation or to rehearse a procedure before performing it. - **In teaching.** Training material, video, avatars and clinical simulations *with no production crew behind them*. - **In research.** Assisted literature reviews, systematic reviews and project design with these tools. - **In management.** Automating the paperwork that eats your day and building your own apps, forms and dashboards *without writing a line of code*. Coming from the technical side, from biomedical engineering, health engineering, bioinformatics or computing? You are not here to learn to code: you are here for **what is usually missing to make a development actually work inside a hospital**. The clinical context and the vocabulary of the professional who will use your tool, the fundamentals of machine learning and generative models applied to real healthcare cases, and the framework of GDPR, patient data and algorithmic bias that shapes what you can build and what you cannot. That weighs more in a health project than a better trained model. All of it with that framework up front **from the first module**, which is what separates using AI from getting into trouble. From there it is your call: **leading the AI project** in your unit, your centre, your pharmacy or your company when the conversation comes, moving into **applied research**, or **starting your own venture** in digital health. And there is a fourth path that appears in no brochure: no longer watching from the outside while other people decide how AI enters your work. 11 How much does it cost and how do I pay? You can pay **in full or in instalments**. - **Instalments:** an initial enrolment fee of 500 € and a fixed number of monthly payments, with dates and amounts visible on the payment page *before* you buy. It is not a subscription: it is how you pay over time for a master you contract in full. - **The enrolment fee** reserves your place, is included in the price (it is not added on top) and is not refunded. - **Certificate issuing fees** are included too. Write to us for the price, the discounts and the financing available. 12 Is the Google course included with enrolment? Yes, if you enrol before 15 October 2026. With either option you also get the course Master Google AI in a single week, so you start winning back an hour a day without waiting for the master to begin. [See the course](https://www.iacademia.es/domina-la-ia-de-google) 13 What if I enrol and change my mind? You have **14 calendar days from payment** to withdraw, as long as you **have not entered the campus content**. - **Within the period and without entering:** we refund what you paid minus the 500 € enrolment fee, which is non-refundable. - **If you have already accessed the content:** no refund, even inside the 14 days. Opening the campus means consuming the digital service with your consent, and the right of withdrawal is lost. - **After the 14 days:** no refund either. The guide has the full set of cases with examples: paying in full and in instalments, with and without campus access, inside and outside the deadline. [See the full refund guide](https://www.iacademia.es/guia-devolucion-master) 14 Can I stop paying the instalments if I change my mind later? Within 14 days and without having entered the content, yes: you do not pay the remaining instalments, although the enrolment fee is not returned. After that period, instalments are simply how you pay for a master already contracted in full, so stopping payment does not cancel the enrolment: the outstanding amount remains payable and we may suspend access until you bring it up to date. [See the full refund guide](https://www.iacademia.es/guia-devolucion-master) Take the step ## Ready to take the leap? 5th Edition of the Master's in AI for Healthcare Professionals. Enrollment open. Start date: October 15, 2026. 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