Bachelor in Mathematical and Computing Sciences for Artificial Intelligence

Mathematical and Computing Sciences for Artificial Intelligence is a three-year bachelor's program taught in English at Università Commerciale Luigi Bocconi in Milano, Italy. This field of study combines mathematics, statistics, and computer science to build the technical foundation needed to understand and develop artificial intelligence systems. Typical subjects include calculus, linear algebra, probability, and statistics, together with computer science courses covering programming, algorithms, and data structures, and more specialized topics such as machine learning and computational methods. Students in this discipline generally develop strong quantitative and computational skills, learning to formulate problems mathematically and translate them into algorithms and software. Coursework often addresses topics such as optimization, statistical modeling, and the theoretical foundations of machine learning, alongside practical training in programming languages and data analysis tools. Because artificial intelligence draws on multiple technical disciplines, students build competence across mathematics, statistics, and computer science rather than specializing narrowly in one area. This combination of subjects is designed to prepare graduates for work in fields where data-driven and computational methods are central, including software development, data science, and research roles related to artificial intelligence and machine learning. Some graduates apply this training within specific industries such as finance, technology, or business analytics, where AI-related methods are increasingly used to support decision-making. Career paths connected to this field include roles as data scientists, software engineers, machine learning practitioners, and quantitative analysts, as well as further study at the postgraduate level in computer science, mathematics, statistics, or artificial intelligence. Milano's concentration of business, finance, and technology activity offers a relevant setting for this program. Taught in English, the degree is aimed at an international student body seeking a rigorous mathematical and computational foundation applicable to the growing field of artificial intelligence.