Master in Artificial Intelligence

This two-year master's programme in Artificial Intelligence, taught in English at Alma Mater Studiorum - Università di Bologna, provides advanced study in the discipline concerned with building systems capable of learning, reasoning, and making decisions based on data. The field draws on computer science, mathematics, and statistics, and typically includes machine learning and deep learning, natural language processing, computer vision, and knowledge representation and reasoning as core areas of study. Students commonly build a strong foundation in the mathematical underpinnings of these methods, including linear algebra, probability, and optimization, before applying them to practical problems through programming and project work. Because artificial intelligence is applied across nearly every sector, coursework often extends into domain-specific applications such as robotics, healthcare, finance, or autonomous systems, depending on the structure of the programme and the interests of individual students. Ethical and societal considerations connected to artificial intelligence, including questions of fairness, transparency, and the responsible use of automated decision-making, are increasingly part of graduate training in this area as well. Hands-on work with real datasets and the development of working models or systems is typically a significant component of study, complementing the theoretical grounding in algorithms and statistical methods. Graduates of artificial intelligence master's programmes pursue careers as machine learning engineers, data scientists, and artificial intelligence researchers across technology, finance, healthcare, manufacturing, and other industries that increasingly rely on data-driven systems. Some continue into doctoral research, contributing to advances in machine learning methods and applications, while others move into product development roles, building AI-driven features and systems within technology companies. As artificial intelligence continues to be adopted across sectors, graduates with rigorous technical training in the field are positioned for a wide range of research, engineering, and applied roles, drawing on skills developed over the two years of study.