Master's in Artificial Intelligence for Healthcare Professionals

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

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.

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.

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.

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.

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.

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.

A test at the end of each unit and a final project worth 6 ECTS, built around a case from your own job.

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.

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.

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.

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.

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.

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.