Laurea Magistrale (MSc) in

Artificial Intelligence and Data Engineering

Coronavirus COVID-19:

The 2021-22 first semester will start on monday Sept. 27.

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

Followings the COVID19 protocols, students may choose to attend lessons remotely (instead of in presence). For remote attendance, please read instructions at: https://www.unipi.it/index.php/study/item/19051-online-classes

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

Please note that, starting from September 1st, faculties, university staff, students and guest MUST have, and be prepared to show, the green COVID-19 certification.


Programme type

Laurea Magistrale (Second-cycle degree) - 120 ECTS

Language

English/Italian (*)

Degree Programme class

LM-32 - Computer systems engineering

Learning activities

Study plan

The MSc provides a solid in-depth education that enables the graduates to design and implement, on one side, systems for efficiently managing large amount of data and extracting useful knowledge from this data, and, on the other, 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 (even non-engineering ones) 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 admit not only students with already 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.

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!


For further information, contact us by sending an e-mail to didattica_INGINF@dii.unipi.it

Coming from abroad? Please get in touch with our international office (international@ing.unipi.it)

(*) 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.