Life Long Learning Master's Degree in Bioinformatic and IA for health

-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.

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.

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.

-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