From a scientific and science fiction topic, Artificial Intelligence has quickly become an everyday experience: automatic diagnoses, automatic translations, drug synthesis, speech recognition, image recognition, autonomous driving.

Nowadays innovative companies, big industrial players, research centers and public institutions express a growing demand for AI professionals in the roles of data and information analysts, decision support operators, system developers and smart device designers.

Practical training in physics, mathematics and computer science allows AI graduates to identify solutions to data analysis, processing, classification, and optimization problems, as well as to foster communication between the engineering and management components of decision-making in all sectors.

The expertise in Artificial Intelligence can be applied to various corporate functions and fields:

Track 1 — Data analysis, communication and marketing

AI application is a determining factor for business opportunities in all sectors and in any type of enterprise. In order to make strategic marketing and communication choices, tomorrow’s decision makers will rely on experts capable of big data analysis, knowledge management and customer support & retention.

Track 2 — Industrial systems and healthcare

In the “4.0 Industry” only companies implementing AI can achieve greater results in terms of performance and increase their competitiveness. In fact, ore flexible production, higher productivity and the development of new business models and processes today have only been made possible thanks to innovative digital solutions, embedded systems, automation programs and resources based on the human-machine relationship.

A BAI degree will be also increasingly sought after in the Healthcare sector, which already requires programs for telemedicine platforms, innovative Medicine-ICT interfaces, wearable exoskeletons and movement aids.

Track 3 — Brain, cognition and society

The expertise in Artificial Intelligence is also used in the development of bio-inspired algorithms, human-environment interaction systems, ICT innovations and advanced solutions for applied neuroscience, such as neuromarketing technologies.

Track 4 — Physics for AI: environment, health and quantum information

Lastly AI plays a key role in several fields related to the study, management and allocation of environmental resources, including astronomy, nuclear physics and environmental monitoring, in which computer science, mathematical models and physical technology are effectively applied.