Educational objectives

The course provides the knowledge and skills needed to operate in the fields of internet of things, of the analysis of "Big Data" possibly using Machine Learning techniques. The knowledge gained during the course will allow the graduate to work in the so-called industry 4.0 in contexts of data acquisition, possibly with IOT devices, and of analysis and use of such data. The course focuses on the technologies, tools and methodologies that characterize the fields of internet of things, Big Data, Machine Learning but it is organized in such a way as to give a solid theoretical basis of mathematics, statistics and of course computer science. More specifically, the course prepares the graduate for the labour market, but also for the continuation of studies with a master's degree. In order to let the student apply the concepts learned in class, the course is characterized by the presence of laboratory activities and provides internship opportunities at companies as an integral part of the educational process, thus facilitating the transfer of skills from the university setting to a work setting.

Professional opportunities

Graduates in Internet of Things, Big Data & Machine Learnings will be enrolled in private and public companies, research labs, public administrations, dealing with automatic analysis of Data and consequent automatic reactions to the impact of data, companies that produce/program IOT devices, companies that rely with automatic production lines, companies that act as web consultant, and in general in any company using information systems and/or that manage web systems in-house. They will also be able to access higher levels of study in the Computer Science area. The course prepares for the roles of AI specialist; AI Expert, Social media analyst, Data Analyst, as well asdesigner/programmer of prototypes and applications for IOT, web designer and developer, web manager.