Máster presencial
Sant Cugat Del Vallés (Barcelona)
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 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.
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Sedes
Localización
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Objetivos
-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.
A quién va dirigido
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.
Temario completo de este curso
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