Lifelong Learning Master's Degree in Bioinformatics and AI for Healthcare / Máster en Bioinformática e IA para la Salud

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.

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.

This master's degree is aimed at university graduates in health sciences (Medicine, Pharmacy, Biology, Biotechnology, Biomedical Sciences, etc.), computer sciences, mathematics, physics, and engineering. It is particularly suitable for professionals with a scientific or technical background who wish to specialise in bioinformatics and artificial intelligence applied to health, enhancing their skills in data analysis, computational biology, and AI for biomedical research and clinical applications

The main objectives are to provide advanced knowledge in genomics, transcriptomics, epigenomics, and proteomics, along with a deep understanding of data analysis techniques specific to bioinformatics. Students will learn to apply machine learning and deep learning in bioinformatics for predictive models and data interpretation. The program aims to develop skills in using specialised software tools and programming languages (R, Python) and to understand ethical and legal considerations in biomedical data management. Graduates will be able to design and execute research projects using bioinformatics and AI tools, critically evaluate and interpret results from large-scale biological data, and develop effective communication skills for presenting complex bioinformatics findings to diverse audiences, thus preparing them for research and clinical applications in health sciences.

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

Graduates will be highly qualified for roles such as bioinformatician, data analyst, computational biologist, AI specialist in healthcare, and research scientist. Opportunities span research centres, pharmaceutical industry (drug discovery, clinical trials analysis), biotechnology companies (genomic analysis, AI applications), hospitals and clinical laboratories (diagnostic support, personalised medicine), academic institutions, and start-ups focused on health tech and AI solutions. They will be prepared for diverse applications across the health sciences sector.