Technology
/ Master's degree programme
Digital Automation Engineering
General information for the a.y. 2022-2023
| Disciplinary area | Technology |
|---|---|
| Duration | 2 years - 120 Credits |
| Admission |
 No limited access
|
| Language |
 Completely taught in English
|
| Teaching method | Lectures |
| Regulation | Main Teaching Regulations |
| Call for Application / Short list | • Regole per l’accesso alle agevolazioni previste per i dipendenti della Pubblica Amministrazione per l’iscrizione al Corso di Laurea Magistrale in Digital Automation Engineering • Call for applications to the Master's Degree Programme in DIGITAL AUTOMATION ENGINEERING (DAE) For extra EU students living abroad and applying for a visa - Academic Year 2022-2023 • Bando di accesso al corso di laurea magistrale in lingua inglese in DIGITAL AUTOMATION ENGINEERING (DAE)- Riservato a candidati italiani, UE ed extra-UE soggiornanti |
Presentation
Taught entirely in English, the Degree Programme in Digital Automation Engineering is structured in a common pathway in the first year and in three competence areas in the second year. The common programme provides training in 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, “Digital Infrastructure”, “Digital Design” and “Digital Manufacturing”, apply digital automation engineering to specific contexts, such as the management of digital infrastructure, digital design techniques, and the digitisation of production systems. The programme provides the skills to face the challenges and opportunities of the digital revolution. Graduates will be able to manage the rapid evolution of automation engineering technologies, to deal with the applications of digital automation in Industry 4.0 scenarios and, in addition, to work in teams on complex, multidisciplinary projects. The great national and international excitement related to the promotion, development and adoption of digital technologies will provide significant career opportunities for graduates in Digital Automation Engineering, who will be able to head to leading companies in the development and use of digital systems, both in the production and service sectors. The programme is also an active part of the strategic development project of the Reggio Emilia digital district, supported by public administration, industry and research.Course content
Entirely taught in English, the programme offers a common programme in the first year, and three competence profiles in the second year: “Digital Infrastructure”, “Digital Design”, and “Digital Manufacturing”. The common programme provides training in 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 apply digital automation engineering to specific contexts, such as digital infrastructure management, digital design techniques, and digitisation of production systems.Career options
Graduates in Digital Automation Engineering will be able to manage the rapid evolution of automation engineering technologies, to deal with the applications of digital automation in Industry 4.0 scenarios and, in addition, to work in teams on complex and multidisciplinary projects. The Degree Programme provides the skills to meet the challenges and opportunities of the digital revolution, based on the use of mathematical, computer and technical tools from the different disciplines covered. These skills create numerous employment opportunities in design studios, consultancies and companies at the forefront of the development and use of digital systems, both in the production and service sectors, as well as in the analysis and manipulation of large amounts of data.More information
- Course Director
- prof. Manuel Iori
e-mail manuel.iori@unimore.it - Tutor
- prof. Claudio Giberti
e-mail claudio.giberti@unimore.it
The course is managed by the Department of Sciences and Method for Engineering