Department of Computer, Control and Management Engineering

The Master of Science in Engineering in Computer Science lasts 2 years. The aim of the course is to train Computer Engineers with specific expertise both in the sector of Computer Science, focussing on software applications such as software design, data management and analysis and software application to A.I., and in the sectors of information processing systems and security, models and methodologies, tools for the assessment of systems performance, as well as the optimization of systems for information processing and network systems.

The Bachelor's Degree in Computer and System Engineering aims to train graduates with specific skills in Computer Engineering or System Engineering. In the first case, such skills are related to the analysis, design and management of IT hardware/software systems and of different types of applications (for instance, business IT systems, services automation systems, systems and applications based on the Internet and World Wide Web, data analysis systems, network infrastructures) in different areas of services and production. In the second case, the skills acquired concern the analysis and...

The Master in Control Engineering is devoted to the analysis, design, optimization and implementation of automatic control systems for complex dynamical processes. The curriculum covers methodologies and technical know-how for the automation, supervision and real-time control of systems in different engineering domains, including aerospace, automotive, biomedicine, energy and communication networks, smart grids, and robotics. More on the course web site at DIAG.

Director: Francesca Cuomo

The remarkable increase in the volume and complexity of available data and new technologies that have been developed to process them requires a combined multi-disciplinary approach to design an overall strategy aimed at transforming data into useful information. Key ingredients to develop a successful strategy are data manipulation and visualization, large scale computing, statistical modelling, learning techniques, algorithmic thinking.

The Master's Degree in Engineering in Computer Science is a 2-year programme. The programme aims at training Computer Engineers with specific expertise in the area of Computer Science, focusing on software applications such as software design, data management and analysis and software applications to AI, and in the sectors of information processing systems and security, models and methodologies, tools for the assessment of systems performance, as well as the optimisation of systems for information processing and network systems.

Information Engineering is everywhere around you. In automobiles, telephones, in the web, at home and outside. And it will be more and more present. This degree programme will allow you to become one of the protagonists of the process that is changing our lives, as well as economic activities and research in all fields.
Like all other degree programmes in Engineering, the Bachelors degree in Information Engineering requires commitment and passion.
This Bachelors degree is a stepping stone into Masters degrees in Electronic, Computer, Management, Telecommunications Engineering,...

Management Engineers who carry out their studies in the field of Information Engineering class have a foundation education that integrates the physical-mathematical knowledge common to all the Engineering degrees and the fundamental contents of the disciplines that qualify the information sector (computer science, automation, electronics, electro-technical, telecommunications) with an understanding of the essential elements of economic and organisational analysis and decision-making techniques.

The Master's Degree Programme in Management Engineering of Sapienza University of Rome aims to provide knowledge and develop high-level skills that integrate the technological-design content typical of engineering disciplines with a full understanding of organisations' economic-management aspects of decision-making problems. To these ends, methods, models and analysis and intervention tools used in managing complex systems, characterised by a high interaction between the evolution of technology, the structure of markets, and companies' competitive strategies, are analysed and discussed....