Technology / Master's degree programme
Computer Engineering

General information for the a.y. 2021-2022

Disciplinary areaTechnology
Duration 2 years - 120 Credits
Admission Accesso Libero No limited access
Language Partially taught in English (8 courses)
Teaching method Lectures
Regulation Main Teaching Regulations
Call for Application / Short list Bando di ammissione al corso di laurea magistrale a libero accesso in Ingegneria Informatica (classe LM-32) a.a.2021/2022


The Master's Degree Programme in Computer Engineering is divided into three curricula: Artificial Intelligence Engineering (entirely in English), Cyber Systems (entirely in Italian), Data Engineering and Analytics (two exams in English). The Artificial Intelligence Engineering curriculum addresses the design of intelligent systems, robotics and objects and sensors in Iot and trains with emerging technologies of artificial intelligence and cognitive systems, machine/deep learning, the artificial vision and distributed agent systems for future professions in industry and innovative enterprises. The Cyber Systems curriculum is aimed at studying and developing safe and network-connected systems. In particular, it addresses issues ranging from the management and security of computer networks to operating systems, from the development of applications for distributed and mobile platforms, to the design of embedded and real-time systems. The Data Engineering and Analytics curriculum trains expert professionals in the management, manipulation and analysis of huge quantities of data. The topics covered range from software design to semantic web, from big data management and analysis, to multimedia data processing.

Course content

Each curriculum offers a set of compulsory teachings, to be completed with teachings chosen among the other curricula, similar teachings and other free choices among the University programmes. Similar teachings offer skills relating to discrete mathematics, IT law, business organisation, network technologies in the automotive field, up to digital electronic design. Drawing the thesis requires the student to take up an internship in a company or external entity, or a project activity within the Department.

Career options

Graduates in Computer Engineering are skilled to analyse, design and manage complex and innovative IT systems, and may apply for management and responsibility roles. The professional fields are those of innovation and development, advanced design, planning and programming, complex system management, both as independent professionals and working in service or manufacturing companies, as well as in public administrations.

After the degree

Master's Degree

List of single courses taught in English

- Automotive Connectivity [ credits: 6]
- Automotive Cyber Security [ credits: 9]
- Big Data Management and Governance [ credits: 9]
- Introduction to quantum information processing [ credits: 6]
- Machine Learning and Deep Learning [ credits: 9]
- Multimedia Data Processing [ credits: 9]
- Neural Network Computing, AI and Machine Learning for Automotive [ credits: 6]
- Vision and Cognitive Systems [ credits: 9]

More information

Course Director
prof. Costantino Grana
prof.ssa Ing. Sonia Bergamaschi

The course is managed by the "Enzo Ferrari" Department of Engineering