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Technology / Master's degree programme
Digital Automation Engineering

General information for the a.y. 2024-2025

Disciplinary areaTechnology
Duration 2 years - 120 Credits
Admission Accesso Libero No limited access
Language Completely taught in English
Teaching method Lectures
Regulation Main Teaching Regulations
Call for Application / Short list Call for applications to English courses


The study programme aims to train experienced professionals in digital automation engineering, capable of mastering, from both a theoretical and a practical point of view, the mathematical, computer and technical tools of the main disciplines governing automation processes in a digital context, enabling graduates to design, implement and manage automated systems and digital infrastructures.

Programme contents

The programme, taught entirely in English, is structured in the first year in a common path and in the second year in three competence profiles: “Digital Infrastructure”, “Digital Design” and “Digital Manufacturing”. The common path provides preparation on the fundamental aspects of digital automation such as statistics and optimisation, artificial intelligence and data science, as well as the implementation and control aspects of robotics. The three competence profiles decline digital automation engineering in specific contexts, such as digital infrastructure management, digital design techniques, and digitalisation of production systems.

Job opportunities

Graduates in Digital Automation Engineering will be able to manage the rapid evolution of technologies characterising automation engineering, to address digital automation applications in Industry 4.0 scenarios and, in addition, to work in groups on complex and multidisciplinary projects. The study programme provides the skills to be able to face the challenges and opportunities of the digital revolution, based on the use of mathematical, IT and technical tools of the various disciplines explored. These skills create numerous employment opportunities, in design studios, consulting firms, and companies at the forefront of the development and use of digital systems, both in the production and service sectors, and in the analysis and manipulation of large numbers of data.

More information

Course Director:
Prof. Manuel Iori
tel. +390522522653
Tutoring delegate:
prof. Claudio Giberti
tel. 0522 52 2632

The course is managed by the Department of Sciences and Method for Engineering