Computational and Quantitative Biology
Where data meets discovery
WHAT
Focus
Students gain the skills to decode complex biological systems and transform information into insight. The program trains them to merge computational methods with biological understanding, from modeling cellular systems to interpreting high-dimensional datasets. By learning to think quantitatively and translate theory into practice, graduates emerge prepared to lead in academia, research, and industry—where interdisciplinary expertise drives innovation.
HOW
Approach
Learning happens through a blend of coursework and hands-on research. Students not only master computational techniques but also apply them directly to biological problems. Seminars, workshops, and opportunities to participate in international conferences strengthen both technical skills and scientific communication.
WHERE
Environment
Our multidisciplinary organization allows competencies to be shared across departments and research centers. Excellence in Computational and Quantitative Biology is fostered by a strong network of institutions: the University of Bari (UniBari), a reference point for quantitative and theoretical approaches to biological complexity; the University of Trento (UniTrento), a hub for integrative life sciences, bioinformatics, and computational modeling; and the Human Technopole (HT), Italy’s flagship center for big data, genomics, and systems biology. Together, they create a rich environment for innovation, discovery, and collaboration across disciplines.
WHO
People
This area is for students who enjoy coding, problem-solving, and working with numbers—and who want to apply those strengths to life sciences. Whether analyzing genomic data, modeling genetic networks, or uncovering patterns in complex biological systems, students gain the tools to explore living systems at every scale.