The University of Pisa, founded in 1343, has a strong international reputation. According to the latest edition of the Academic Ranking of World Universities (ARWU) 2022, the University of Pisa is ranked between 151st and 200th in the world and is 4th in Italy. According to the QS World University Ranking 2022, the University of Pisa ranks 388th worldwide and is 7th in Italy. 

The MSc (laurea magistralis) provides a solid in-depth education that enables the graduates to design and implement, on the one  side, systems for efficiently managing large amount of data and extracting useful knowledge from this data, and, on the other side, intelligent systems by exploiting artificial intelligence techniques. The MSc advances the student knowledge portfolio, in both computer infrastructures for intensive data management and methods for data analytics and artificial intelligence. These competences allow graduates to interact with professionals from different backgrounds in different domains and contexts, where data processing is required, as well as to complete their mastering of computer engineering. 

The course is structured to receive not only students with a strong background in computer engineering, but also students coming from different disciplines with at least a proper knowledge of programming languages. Graduates in computer engineering will have the opportunity for going in-depth into engineering and methodological disciplines; the graduates in other disciplines will complete their knowledge of base methodologies of computer engineering, including operating systems, computer networks, databases, algorithms and advanced programming. Then, all the students are presented with the following subjects: optimization techniques and game theory, business processes and entrepreneurship, non-relational databases, distributed databases, query optimization, data warehouses, cloud computing and in-frastructures, multimedia information management, data mining and machine learning, computational intelligence and deep learning, process mining and intelligence, symbolic artificial intelligence, swarm and evolutionary intelligence. Each course is characterized by lectures and labora-tories, with particular attention to to-day’s applications that require to efficiently process big data.