Department of
Computing Sciences
The Department aims to adress fundamental problems in computation, artificial intelligence and their applications in computational neuroscience, bio-medicine, socio-economics and complex systems modelling. This goal is supported by a diverse and ambitious faculty that brings expertise from several disciplines, including computer science, mathematics, and physics. The Department is founded on the values of inclusion, diversity and openness.
Here you can find more about us, our research and the events we organize.
Nominations are now open for the 2025 Trevisan Prize, which honors outstanding work in the Theory of Computing. The deadline to notify intent to nominate is July 31, 2025, and full nomination packages are due by August 31, 2025.
Full details on eligibility, nomination requirements, and the ceremony are available here.
The Bachelor Program in Mathematical and Computing Sciences for Artificial Intelligence stands at the intersection of major scientific disciplines: mathematics, computer science, physics, and economics, with the objective to develop Artificial Intelligence (AI) tools.
The program is designed for bright, math-oriented students who want to acquire a deep and well-rounded understanding of the instruments required to tackle the current open questions in science, medicine, technology and society, and who grasp the growing impact of AI.
For further information, please visit the dedicated page.
The Master of Science Program in Artificial Intelligence offers a blend of theory and key applications of AI and machine learning and it is designed for students with a strong propensity for Mathematics and Computer Science who are interested in building software systems with AI capabilities.
It has been developed to provide the knowledge and skills needed to meet an increasing demand for professionals able to generate and apply these new technologies. In addition, students will gain broad knowledge and an experience of computing beyond machine learning, as well as the interdisciplinary awareness needed to apply computer science to other fields, such as the life sciences. They will also be guided in developing an understanding of important ethical issues in computing.
For further information, please visit the dedicated page.
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