More specifically, the vocational training of an Industrial Engineering graduate requires the acquisition of advanced design skills with innovative content in the field of Data Engineering and Artificial Intelligence, in the field of distributed systems and industrial embedded systems, in the field of Internet and networking, and in the field of cybersecurity.

The expansion of the cultural landscape in which Computer Engineering is located suggests that the educational path be organized in thematic areas that group the teachings according to their degree of closeness.

The first of our educational interests is related to Data Engineering and Artificial Intelligence. The aim of this thematic area is to train engineers who are experts in the design of complex IT systems, who can effectively manage large amounts of data through specific hardware/software infrastructures and extract 'useful' information from this data with advanced analytical techniques, and at the same time to provide the necessary tools for modern Information Systems to support the operational and management processes of any organization. In addition, the problems related to the creation of 'smart' systems based on the latest methodologies and techniques such as Artificial Intelligence and cognitive systems, machine/deep learning, information retrieval and machine vision for future professions such as Data Engineer and Data Scientist needed in industry and innovative companies will be discussed in detail.

Another thematic area is the one related to distributed and embedded systems. Embedded systems are information processing systems designed to run specific applications. Their prevalence is constantly increasing, they represent the heart of modern industrial applications (enabling all sectors of Industry 4.0) and are present in a large number of application sectors: automotive systems, telemedicine, multimedia devices, robotic systems, home automation, Internet of Things, security management devices, real-time systems, infrastructure control systems and processing systems for AI applications.

Internet and Networking is a thematic area that aims to provide students with skills in advanced technologies in the field of networking and to train professionals who can handle complex protocols, architectures and applications used today and in the future. In this context, the principles of network design and management, which primarily take into account resource management, traffic routing and resilience to failures and attacks in traditional and advanced networks, are of interest.

Finally, the subject of cybersecurity has now gained strategic importance both nationally and internationally in the world of Information Technologies. The aim of this thematic area is to train new ‘security engineers’, who are competent professionals in the protection of systems, software and networks. Some of the most sought-after profiles in this field are: Security Manager – a person who undertakes the task of operationalizing security technological solutions; Security Architect – a person who designs security measures and policies adopted by the organization thanks to his modeling skills; Security Engineer – a person with a technical and modeling background, responsible for monitoring systems and proposing solutions for incident response; Security Analyst – a person with process analysis skills, responsible for assessing vulnerabilities that may affect networks, devices, applications and services, and proposing practical solutions and measures. The subject is therefore complex and requires highly qualified professionals specialized in systems engineering, software engineering and communication networks. The vocational training of the engineering graduate requires the acquisition of advanced design skills with innovative content in the field of Data Engineering and Artificial Intelligence, in the field of distributed systems and industrial embedded systems, in the field of Internet and networking, and in the field of cybersecurity.

The expansion of the cultural landscape in which Industrial Engineering is located suggests that the educational path be organized in thematic areas that group the teachings according to the degree of closeness.

The first of our educational interests is related to Data Engineering and Artificial Intelligence. The aim of this thematic area is to train engineers who are experts in the design of complex IT systems that can effectively manage large amounts of data through specific hardware/software infrastructures and extract 'useful' information from this data with advanced analytical techniques, as well as to provide the necessary tools for modern Information Systems to support the operational and management processes of any organization. In addition, the problems related to the creation of 'smart' systems based on the latest methodologies and techniques such as Artificial Intelligence and cognitive systems, machine/deep learning, information retrieval and machine vision for future professions such as Data Engineer and Data Scientist, which are needed in industry and innovative companies, will be discussed in detail.

Another thematic area is that of distributed and embedded systems. Embedded systems are computing systems designed to run specific applications.