Master in COMPUTER SCIENCE

At Università di PISA, tuition comes to 2,900 EUR per year.

Delivered in English at Università di Pisa over two years, this master's programme falls within computer science, a discipline concerned with the theory, design, and application of computing systems and software. Core areas of study typically include algorithms and data structures, programming languages, computer architecture, operating systems, databases, and software engineering, providing the technical foundation on which more specialized topics are built. At the master's level, students commonly choose among concentrations such as artificial intelligence and machine learning, distributed and parallel systems, computer security, computer networks, and human-computer interaction, depending on the structure of the programme and their own interests. Theoretical foundations, including computational complexity and formal methods, are usually paired with substantial practical work, since much of computer science training involves building and evaluating software systems. Group projects, programming assignments, and increasingly research-oriented coursework toward the end of the degree are common features of graduate-level study in this field. Graduates of computer science master's programmes enter a wide range of careers. Many work as software engineers or developers across industries, building applications, systems software, or infrastructure. Others specialize in areas such as data engineering, machine learning, cybersecurity, or cloud computing, roles that have grown alongside the increasing role of software in nearly every sector of the economy. Some graduates move into research and development positions within technology companies or continue into doctoral study, contributing to advances in areas like algorithms, artificial intelligence, or systems design. Because computing skills are broadly transferable, computer science graduates also find roles in finance, healthcare, telecommunications, and the public sector, wherever software systems and data need to be designed, built, and maintained.