Lifelong Learning Master's Degree in Bioinformatics & AI for Healthcare

Bioinformatics and artificial intelligence are transforming the healthcare sector, driving strong demand for professionals with expertise in biology, computer science and data analysis. This hybrid profile is key to advancing innovation in precision medicine, digital health and biomedical research. 
This master's degree will equip you to apply AI in the development of solutions that enhance healthcare delivery and knowledge management in health systems.
Why study a master's in bioinformatics and AI applied to healthcare?
High demand and shortage of specialised talent: The digital transformation of healthcare has created an urgent need for professionals capable of analysing and managing large volumes of biomedical data, a profile that remains scarce.
Sustained growth in the biotech and healthcare sectors: Industries such as pharmaceuticals, biotechnology and digital health are expanding rapidly and require experts in AI and bioinformatics to lead innovation and development projects.
Direct impact on health improvement and research: AI applications in medicine are driving progress in diagnostics, personalised treatment and biomedical research, contributing to more efficient and accurate healthcare.
Wide range of career opportunities: From hospitals and research centres to digital health startups, consultancies and regulatory agencies, hybrid profiles in bioinformatics and AI are in demand across diverse professional settings.
Interdisciplinary and up-to-date training: This master's programme integrates biology, programming, data analysis and regulatory knowledge, preparing professionals to collaborate effectively in multidisciplinary biomedical teams.

Subjects in course 1

• Foundations of Bioinformatics & Biomedical Informatics
• Artificial Intelligence & Machine Learning in Health
• Omics & Personalized Medicine
• Clinical Informatics, Digital Health & Health Tech Innovation
• Advanced Topics in AI for Healthcare
• External Internships
• Master's Thesis

Interdisciplinary understanding and critical thinking
Students gain a comprehensive view of the digital health sector, developing an understanding of the scientific, technological and ethical foundations underpinning bioinformatics and artificial intelligence. The programme fosters a critical mindset towards the challenges and opportunities in the field.
Practical application and real-world problem solving
The programme prepares professionals to apply their knowledge in academic, clinical and corporate settings, designing and implementing biomedical data analysis projects with scientific rigour and practical relevance.
Effective communication and teamwork
Students develop the ability to communicate complex ideas clearly and appropriately to diverse audiences – from specialists to decision-makers – while cultivating collaborative skills essential for working in multidisciplinary teams within the health innovation ecosystem.
Leadership, project management and strategic vision
Participants learn to plan, coordinate and lead bioinformatics and AI projects, integrating technical, clinical and managerial dimensions with a strategic approach focused on innovation, feasibility and sustainability.
Lifelong learning and professional adaptability
The master's programme promotes autonomy, adaptability and continuous learning, equipping graduates to evolve professionally in a fast-changing sector with high demand for specialised talent.

The master's is designed for recent graduates and early-career professionals seeking to enter the emerging field of bioinformatics and AI in healthcare, a rapidly growing sector with strong scientific and professional prospects.
It is particularly suited to graduates in health sciences, biology, biotechnology, bioinformatics, biomedical engineering, computer science or related disciplines who are looking for interdisciplinary training that combines biology, technology and data analysis.
It is also aimed at active professionals in the healthcare or technology sectors who wish to specialise or redirect their careers towards biomedical innovation, digital tool development or data-driven health research.
The programme offers a solid theoretical and practical foundation, preparing graduates to join research teams, pharmaceutical and biotech companies, or digital health startups, contributing to high-impact projects in personalised medicine, clinical data analysis and technological development.

An admissions process must be carried out.

The programme combines work on applied case studies during the first semester with a period of professional internships in partner biomedical companies during the second semester.

Key features:

• External internships concentrated in the second semester, without overlapping with theoretical classes, which are concentrated in the first term
• 550 on-site hours
• Internship schedule during regular working hours (approximately 9 a.m. to 6 p.m.)
• Possibility of signing an internship agreement with other institutions in your home country

100% in English.

Duration: From October to July.

• Understand the current context and challenges of bioinformatics and AI in healthcare.
• Acquire practical skills to design and carry out biomedical data analysis projects in various professional environments.
• Develop critical thinking and evaluation skills for biomedical research and innovation workflows.
• Learn the data-driven healthcare value chain, from data generation and management to clinical and industrial application.
• Master the use and analysis of large biomedical datasets, combining technical, scientific and ethical knowledge to drive innovative AI-based solutions.

This programme prepares professionals to work in the analysis and interpretation of complex biomedical data, the development of AI-based tools and innovation in digital health. Graduates will be equipped to join hospitals, research centres, biotech companies or digital health startups, contributing to projects in personalised medicine, assisted diagnosis and intelligent clinical data management. They will also be prepared to lead interdisciplinary initiatives, drive digital transformation in healthcare or pursue further academic study through specialised doctoral programmes.

• Biomedical data analyst: Specialist in the integration and analysis of genomic, clinical or imaging data in hospitals, research centres or health sector companies.
• AI and algorithm developer: Focused on designing tools and models for diagnostics, personalised medicine or public health.
• Clinical bioinformatics specialist: Providing technical and scientific support to medical or research teams requiring advanced interpretation of biomedical data.
• Digital health innovation consultant or manager: Professional capable of bridging biology, computing and project management in multidisciplinary environments.
• Health data engineer: Responsible for automating data analysis, management and visualisation processes in hospitals, laboratories or technology companies.
• Researcher in bioinformatics or AI applied to biomedicine: Prepared to join academic research groups or continue into doctoral studies.
• Entrepreneur in biotechnology or digital health: Equipped to create or lead technology-based startups focused on AI, computational biotechnology or biomedical data analysis.

Grants, other grants, financing and payment facilities available.

Reasons to study this master's degree
Unique programme
It includes Bioinformatics and artificial intelligence applied to healthcare. 
Booming sector
High demand for hybrid profiles with scientific and technical training.
Comprehensive training
Technical education in bioinformatics and AI, alongside practical experience in industrial innovation.
100% in English
You will live alongside students of different nationalities, thus promoting intercultural exchange.
1 academic year
From October to July, with a total of 60 ECTS.
Work placements included
The programme includes 550 hours of in-person internships in leading research groups and research centres at renowned universities.