Program Overview

Introduction to the Master's Program in Artificial Intelligence and Data Engineering

The University of Pisa, founded in 1343, has a solid 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 4th in Italy. The Master's Program in Artificial Intelligence and Data Engineering provides a comprehensive education that enables graduates to design and implement systems for efficient management of large amounts of data and extraction of useful knowledge from these data, as well as intelligent systems using artificial intelligence techniques.

Program Structure and Content

The program is structured to accommodate not only students with a solid background in computer engineering but also students from diverse disciplines with at least an adequate knowledge of programming languages. The curriculum includes courses on:

• Techniques of optimization and game theory
• Business processes and entrepreneurship
• Non-relational databases
• Distributed databases
• Query optimization
• Data warehouse
• Cloud computing and infrastructure
• Multimedia information management
• Data mining and machine learning
• Computational intelligence and deep learning
• Process mining and intelligence
• Symbolic artificial intelligence
• Evolutionary intelligence and swarm

Each course is characterized by lectures and laboratories, with particular attention to current applications that require efficient processing of big data.

Professional Profiles

Graduates of the program can pursue careers as:

• 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 laboratories

Why Enroll in the Program?

The program offers the opportunity to become a leader in the progress of Big Data/AI technologies, promote a culture of data-driven decision-making, and guide strategies in the data engineering sector. Students can obtain managerial positions in companies working in the Big Data/AI sector or with Big Data/AI technologies. The program is taught in an international and stimulating environment, with a strong focus on research and innovation and links with major international players in the ICT world.

Program Details

• Type of Course: Master's Degree
• Language: English/Italian
• Type of Access: Open access with evaluation of personal skills
• Class of Degree: LM-32 - Computer Engineering
• Department: Department of Information Engineering, School of Engineering

Statistics

• 88.2% of graduates are overall satisfied with the study path
• The average time to find a job after graduation is 1.7 months (3 months is the national average)
• The employment rate after one year is 100% (94.8% is the national average)