The Master Degree in Computer Engineering trains professionals with advanced and highly specialized skills, capable of tackling complex problems related to the design, development, and management of large-scale, high-tech IT systems. The program strengthens critical analysis, modeling, design, and development skills, and provides the theoretical, methodological, and applied tools needed to operate in innovative and rapidly evolving contexts across various sectors of digital society.

THREE STUDY PATHS:

The course is organized in 3 curricula covering various aspects of modern information processing systems and representing the scientific excellence of the Department of Information Engineering in these areas:

• Artificial Intelligence (AI): algorithms, architectures, and technologies to design and develop intelligent computational systems by covering core areas in generative artificial intelligence, machine learning, deep learning, reinforcement learning, natural language processing, computer vision, and probabilistic reasoning.
• Intelligent Data Engineering and Algorithms (IDEA): algorithms, architectures, and systems for compute-intensive applications and big-data analysis, for solving complex computational problems in life and physical sciences, and for managing permanent data as well as processing, linking, searching, and recommending information at Web scale.
• Intelligent Robotics (iRob): algorithms and systems to enable reasoning and intelligent behaviours in robots, focusing on the design, perception, control, and decision-making capabilities of autonomous robotic systems, capable of interacting with complex, dynamic environments.

These curricula are highly flexible and allow students to focus on the aspects that best match their interests.

The course is fully taught in English, promoting integration into national and international contexts, both in the industrial and research fields.

Master’s degree graduates in Computer Engineering are highly qualified professionals, capable of combining advanced technical skills, systemic vision, responsibility, and project coordination, ready to work and innovate in industry, business, the public sector, and research. 

The graduate in Computer Engineering will be able to interact critically with other professionals in multidisciplinary teams. 

Last but not least, the Computer Engineering program will prepare graduates for pursuing a research career, either in industry or academia.

We look for highly motivated and competent students.

• Degree: a minimum three-year undergraduate degree (or equivalent) with credits in scientific disciplines (computer science and engineering; other information engineering disciplines; math and physics) is required. For the Italian system, this corresponds to credits in the following disciplines: information processing systems (ING-INF/05) and computer science (INF/01); other information engineering disciplines (ING-INF/01, ING-INF/02, ING-INF/03, ING-INF/04, ING-INF/06, ING-INF/07); mathematics and physics (FIS/01-FIS/08, MAT/01-MAT/09).  For international applicants, an admission committee will verify that an equivalent criterion applies.
• Final grade or GPA: students holding an Italian bachelor degree must have a degree classification of 84/110, or higher. International students are evaluated by an admission committee to verify that an equivalent criterion applies. Depending on the country, this translates in different minimum entry requirements on GPA or percentages. 
• Language requirement: English language at the B2 level (CEFR) or equivalent.

The pervasiveness of computers in each sector makes the professional fields for graduates virtually unlimited. The computer engineering graduate is of interest to companies, characterized by strong flexibility and dynamism, that design and produce computer components, and to those that develop systems and equipment in various sectors for which information technology is an enabling element, such as the automotive, biomedical, telecommunications, avionics, process automation, robotics. The graduate also has fundamental roles in the design, development, production and operation of equipment, systems, and infrastructures for the acquisition and transmission of information and their use in telematics applications, as well as companies operating in the civil sector, the sectors of public administration, and service companies.

Studying in cutting-edge research laboratories: graduates will be prepared to work for research institutions and might also continue their studies towards research doctorate courses in the area of ​​Information Engineering, Industrial Engineering, and Applied Sciences.