Health Informatics

Technology is revolutionising healthcare: with this curriculum, you will play a key role in the innovation that improves diagnosis, treatments, and quality of life.

Download the HEALTH Curriculum Brochure [Italian only]

Scientific and Industrial Context

The integration of biology and computer science has given rise to a rapidly expanding field that is transforming biomedical research, molecular diagnostics, and the development of personalised therapies. Computational analysis of biological data—generated by technologies such as DNA sequencing or proteomics—has the potential to accelerate the understanding of complex phenomena, such as genetic diseases, and to develop new therapeutic approaches based on genetic and molecular information. The ability to analyse, manage, and interpret large volumes of biological data represents a turning point for sectors such as genomics, molecular biology, and personalised medicine. The growing availability of omics data and the evolution of technologies such as next-generation sequencing have led to increasing demand for specialists capable of using advanced bioinformatics tools to turn raw data into actionable information for scientific research, diagnostics, and the pharmaceutical industry. Training professionals who can master the technologies and skills needed to address these challenges is essential to support innovation in biomedicine and biotechnology.

Educational Objectives

This study path aims to train experts capable of independently and thoroughly addressing bioinformatics challenges, combining knowledge of molecular biology with advanced skills in computer science and data analysis. Students will develop a solid understanding of key techniques in genomic, proteomic, and metabolomic analysis, as well as computational methodologies for processing complex biological data. The programme will provide tools for integrating biological data, offering competencies relevant to molecular diagnostics, the development of new therapies, and understanding the biological mechanisms underlying diseases. Students will be trained to master state-of-the-art computational tools, such as platforms for sequence analysis and machine learning technologies applied to biomedicine. Upon completion, graduates will be able to design and develop bioinformatics solutions in sectors such as biotechnological research, precision medicine, and omics sciences, contributing to the advancement of technologies that improve human health.

Career Opportunities

Graduates of this curriculum will be prepared for careers as Health Data Scientists, Clinical Informatics Specialists, Bioinformatics Engineers, and AI Specialists for healthcare. Opportunities include hospitals, research centres, pharmaceutical companies, healthcare organisations, and innovative MedTech startups. With the increasing digitalisation of the healthcare sector, the demand for experts in Health Informatics is growing rapidly.

Study Plan Details