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Introduction to the University Program

The University of Pisa offers a wide range of academic programs, including the Master's Degree in Artificial Intelligence and Data Engineering. This program provides students with a solid scientific and technical basis in computer engineering, focusing on the study of disciplines such as data mining, machine learning, and cloud computing.

Program Description

The Master's Degree Course in Artificial Intelligence and Data Engineering is a second-level degree program that trains specialized engineers capable of creating, developing, analyzing, and integrating computer systems to efficiently manage large amounts of data and intelligent systems using the latest artificial intelligence methodologies and techniques. The program is structured to accommodate students with a solid background in computer engineering, as well as students from other disciplines who have an adequate knowledge of computer programming.

Admission Requirements

The curricular requirements for access to the Master's Degree Course are as follows:

• Possession of a degree in the following classes: L-8 Information Technology Engineering, L-30 Physics, L-31 Computer Science, L-35 Mathematics
• Possession of a degree in another class, having obtained at least 36 CFUs in the following SSDs (academic disciplines): MAT/02, MAT/03, MAT/05, MAT/06, MAT/07, MAT/08, MAT09, FIS/01, FIS/03
• Possession of a degree in another class, having obtained at least 9 CFUs in the following SSDs (academic disciplines): ING-INF/05, INF/01
• Possession of a degree in another class, having obtained at least 9 CFUs in the following SSDs (academic disciplines): ING-IND/35, SECS-P/08 Proficient knowledge of English at least at level B2, according to the Common European Framework of Reference for Languages, is also required.

Study Plan

The study plan for the Master's Degree in Artificial Intelligence and Data Engineering includes the following courses:

First Year

• Optimization methods and game theory (6 CFU)
• Business and project management (9 CFU)
• Cloud computing (9 CFU)
• Data mining and machine learning (12 CFU)
• Large-scale and multi-structured databases (9 CFU)

Second Year

• Final examination (24 CFU)
• Computational intelligence and deep learning (6 CFU)
• Multimedia information retrieval and computer vision (9 CFU)
• Process mining and intelligence (6 CFU)
• Symbolic and evolutionary artificial intelligence (6 CFU)

Career Opportunities

This Master's Degree offers students numerous job opportunities, including:

• Big 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
• Researchers

Enrolment

To enrol, students must hold a university degree recognized as suitable under current legislation, meet the curricular requirements specified in the regulations of the degree courses, and have adequate personal preparation, assessed according to the procedures defined in the regulations of the degree course.