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.
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.
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.
Foundations of Bioinformatics & Biomedical Informatics
Artificial Intelligence & Machine Learning in Health
Clinical Informatics, Digital Health & Health Tech Innovation
Advanced Topics in AI for Healthcare
External Internships
Master’s Thesis
Lifelong Learning Master's Degree in Bioinformatic and IA for health
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.
Información Adicional
Language
100% in English
Professional Career
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.
Otros cursos
