Laurea Magistrale (MSc) in

Artificial Intelligence and Data Engineering

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 provides its students with a solid and in-depth education, in line with the needs of innovation in the field of computer engineering. The course further advances the students’ knowledge portfolio in both the fundamental sciences and the engineering disciplines. This allows graduates to interact with engineering professionals from all backgrounds, as well as to complete their mastering of computer engineering.

The course includes a common set of learning activities, which go in-depth into methodological and engineering disciplines and completes the expertise in computer engineering. Students can then choose among three tracks, namely: Computer Systems and Networks, Cyber-physical systems, and Cybersecurity. The first one advances further on large-scale computing and networking infrastructures, the second one provides students with expertise on embedded systems and the internet of things and, finally, the last one focuses on the design of secure systems and applications.

Programme type

Laurea Magistrale (Second-cycle degree) - 120 ECTS


English/Italian (*)

Degree Programme class

LM-32 - Computer systems engineering

Learning activities

Study plan

Coronavirus COVID-19:

This year lectures will be given in presence (in classroom), according to the timetable available here.

To access classrooms booking is mandatory. Please use the Teaching Agenda.

Professional profiles

  • Big Data Engineer

  • Data Service/Platform Engineer/Manager

  • Data Analytics Engineer/Manager

  • Data Technologies Engineer

  • Big Data Infrastructure Engineer

  • Business Process Engineer/Manager

  • Artificial Intelligence Software Engineer/Architect

  • Machine Learning Engineer/Architect

  • Big Data/AI Consultant

  • Researcher in public/private labs

Why to enroll?

  • Be a leader in the progress of Big Data/AI technologies

  • Foster the culture of data-driven decision making

  • Actively driving data engineering industry strategies

  • Take managerial positions in companies working within Big Data/AI or with Big Data/AI technologies

  • Study in a challenging international environment, with strong focus on research and innovation and ties to the major international players in the ICT world

  • Pisa is a unique ICT district, one of the largest in Italy, hosting many hi-tech enterprises

"MENTORSHIP, diversity is our strenght!". To encourage the creation of university mentorship schemes supporting the social and academic inclusion of students with migratory background and refugees. Here’s our mentors!

(*) Language used in learning activities

Compulsory activities are in English and elective activities are in English or Italian. The total of ECTS given in English is sufficient to complete the programme and take the degree, hence knowledge of the Italian language is not a prerequisite. However, learning activities covering basic subjects in computer engineering, meant for admitted students not having a strong background in this field of study, are only taught in Italian.

For further information, contact us by sending an e-mail to

Coming from abroad? Please get in touch with our international office (