Master in BIOTECHNOLOGIES AND APPLIED ARTIFICIAL INTELLIGENCE FOR HEALTH

At Università di PISA, tuition fees are 3,388 USD per year.

This two-year master's degree, taught in English at Università di Pisa, sits at the intersection of biotechnology and artificial intelligence as applied to health and medicine. Biotechnology as a discipline studies how biological systems, organisms, and cells can be used or engineered to develop products and processes relevant to health, including diagnostics, therapeutics, and vaccines. Combined with artificial intelligence, the field extends into computational approaches for analyzing biological and clinical data, building predictive models, and supporting drug discovery, diagnostic imaging, and precision medicine. Students in programmes of this kind typically study molecular biology, genetics, and cell biology alongside machine learning, data analysis, and bioinformatics, learning to apply computational tools to problems in genomics, proteomics, and clinical decision support. Laboratory work in molecular and cellular techniques is usually paired with coursework in statistics, programming, and algorithm design, so that graduates can move between wet-lab and computational environments. Ethical and regulatory considerations around health data and biomedical research are also common components, given the sensitivity of the information involved. Career paths for graduates in this area include roles in biotechnology and pharmaceutical companies, health technology firms developing diagnostic or monitoring tools, and research institutions working on computational biology and genomics. Others move into data science roles within hospitals and health systems, contribute to the development of AI-based diagnostic and prognostic tools, or continue into doctoral research bridging biology and computer science. As artificial intelligence becomes more embedded in biomedical research and clinical practice, this combination of biotechnology and computational skills prepares graduates for work at the interface of life sciences and information technology, a growing area within health-related research and industry.