Department of
Computing Sciences
The Department aims at addressing 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 mobilizes expertise in several disciplines of computer science, mathematics and physics. The Department is founded on the values of inclusion, diversity and openness.
Prof. Avi Wigderson from the Institute for Advanced Study in Princeton visited Bocconi University on April 2nd.
The title of his lecture was Randomness which is a key concept in the theory of computation, used as an important tool for design of algorithms.
Prof. Wigderson is a laureate of both the Abel Prize which is considered the Nobel prize of Mathematics and the Turing Award which is considered the Nobel prize of Computer Science.
Registration link: https://www.unibocconi.it/en/events/randomness
The Department of Computing Sciences in Bocconi University invites expressions of interest for a faculty position from outstanding female candidates with a strong research record in the various scientific fields of the department, including theoretical computer science, machine learning theory, statistical physics modeling, natural language processing, computational neuroscience, as well as biomedical applications. A call will be open at the level of assistant professor, tenure-track. More senior researchers interested in possibly joining the department are also invited to contact us, as there exist other possibilities for opening of jobs at a more senior level in the future.
In this series of short videos, you can meet some of the people studying hot topics at Bocconi’s Department of Computing Sciences and better understand the challenges that cutting-edge research in these fields is facing.
Bocconi launched a Department of Computing Sciences to deal with STEM disciplines (Science, Technology, Engineering, Mathematics) with a multidisciplinary spirit and to dialogue with the social sciences and economics.
Theoretical and applied computer sciences, physics and mathematics, computational sciences for biology, for neuroscience and for the social sciences are included in a single department that aims to create the preconditions for developing innovative research in many fields.
Among the fields that are increasingly using methodologies related to computational science and modeling are also the social sciences and, most importantly, economics. This process is just beginning and is, indeed, destined to accelerate. The department does not take a snapshot of the current reality, but bets on its evolution in the next years.
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.
