Internet of Things, Big Data, Machine Learning

BACHELORʼS DEGREE IN
INTERNET OF THINGS, BIG DATA, MACHINE LEARNING

Why study Internet of Things, Big Data, Machine Learning? Data has become a stream flowing through every area of the global economy. This stream has four identifiable sources:

  1. The birth of the Web at CERN in 1989.
  2. The arrival of social networks like Facebook, launched in 2004, and Twitter, established in 2006.
  3.  The advent of the smartphone at the end of 2006.
  4. The imminent dissemination of the Internet of Things: millions of sensors connected to the internet are being incorporated into the physical world, in cars, household appliances, intelligent energy counters and industrial machines, which detect, create and communicate data.

Many modern business activities could not take place without such data, which therefore constitutes an essential factor in production, just like machinery and people. Effective use, analysis and display of data for the purpose of extracting information and knowledge has the potential to transform economies, offering a new wave of productivity growth and more free time for people. Data has the power to play an important economic role, benefitting not only private trade but also national economies and their citizens, particularly in the sectors of healthcare and public administration and in solving the global problems of our planet.

What will I study?

The Internet of Things, Big Data, Machine Learning Program aims to embrace the challenges of the modern and future digital economy, providing the student with the skills, tools and typical methodologies that characterize disciplines like Internet of Things, Data Science and Artificial Intelligence, by offering courses such as Internet of Things, Data Science, Machine Learning, Cloud Web Technologies and Social Computing.

The Program is structured in such a way as to provide graduates, in addition, with a solid mathematical, statistical and computer science foundation in order to prepare them both to enter the world of work and to continue their studies through a master’s degree or a first level master. To enable students to test out the notions studied in practical terms, the Program features a large number of laboratory activities and also involves internships with companies, facilitating contact with the world of work.

Program Guide

What happens after graduation?

Using the skills acquired, Internet of Things, Big Data, Machine Learning graduates will be able to work in specialized ICT companies, editorial groups, banks, insurance companies, marketing agencies, and public, private, national and international settings that work with data and deal with artificial intelligence.

Since this is a newly-activated programme, we have no employment figures, although contact with companies bodes well for the data being in line with that of Computer Science (no unemployed graduates one year after graduation – source: AlmaLaurea). Graduates may continue their study careers by enrolling in our Master’s Degree Program in Computer Science, our international Master’s Degree Program in Artificial Intelligence & Cybersecurity, our inter-university Master’s Degree Program in Data Science and Scientific Computing or other master’s degree programs. After completing the Master’s Degree Program in Computer Science or the international Master’s Degree Program in Artificial Intelligence & Cybersecurity, graduates may, if they so wish, take the State exam in Information Engineering and enrol on the relevant professional register.