Intelligent Systems Engineering (LM-32)

From the investigations conducted, and aimed at evaluating the professional figures required by the world of work,
it emerges unequivocally that there is a strong shortage of graduates in technical-scientific disciplines with adequate skills to govern the digital transformation of industrial processes and, more generally, of all work, social and personal processes of interaction between natural persons and IT or computerizable systems.

The Master's Degree Course in Intelligent Systems Engineering aims to respond to this demand for professional figures, focusing onattention on systems in which the hardware components and
software integrate to offer advanced functionality that respond effectively to current ones
need for innovation. The design and management of these systems therefore require the integration of technical and transversal skills, relevant in the fields of production and services.

To this end, training activities mainly concern three fundamental aspects of intelligent systems:

L'artificial intelligence, which has an enabling role for the understanding of the data generated by digital transformation processes, for their dynamic inclusion in these processes and, subsequently, for their virtuous use in the governance of computerized systems.
La cyber-security as a fundamental requirement of every cyber-physical system necessary to guarantee its correct functioning, prevent potentially dangerous behavior and make the systems compatible with regulations.
La robotics, as an intelligent system paradigmatic of the integration between the physical world and the computational world, in which computational techniques, control methods and communication technologies are strongly interconnected and interacting with the physical world.

The study of intelligent systems approached from three different perspectives stimulates lateral thinking
learners in promote innovation and creativity in solving complex problems. In order to address these topics, the basic training activities (common training core) concern statistics and mathematical optimization, the principles and methodologies underlying artificial intelligence, robotic systems and advanced automatic systems, as well as the architectures of distributed systems and the use of IoT devices for interaction with the physical world. The course is therefore characterized by transversality and for the inclusion in the training course of topics related to the development of solutions based on information technologies, automatic and robotics and on the use of intelligent systems in multiple application areas, including interaction with people.

PACE University: Second Year in Manhattan

Thanks to the agreement between UCBM , Pace University of New York, students of the Master's Degree in Intelligent Systems Engineering have the opportunity to carry out the second year in ManhattanThe program allows you to delve into innovative areas of study such as Data Science, Cybersecurity e information systems, in an international academic context. Upon completion of the program, students will earn a dual degree, recognized in both the United States and Italy. > Find out more

Mobility between LUISS e UCBM: an opportunity for master's students

Thanks to a new agreement signed with the LUISS Guido Carl, students of the Master's Degree in Intelligent Systems Engineering have the opportunity to delve deeper into economic/managerial issues linked to digital transformation, being able to follow at the LUISS two courses in the management field. The courses attended and passed at the LUISS will recognized in career as training activities chosen by the student (TAF D) and will contribute to the weighted average and to obtain a degree. The current agreement stipulates that only a specific number of students can pursue this path.