International trends show that companies are looking with interest at investments in Artificial Intelligence but more than half of them do not have the necessary skills to exploit these investments.
A 2nd level master degree model that combines the University’s ability to provide higher education with an eye on the market for the most innovative companies.
The partnership between the University of Tuscia and Datrix S.p.A. has led to the development of a unique training path: 500h of training delivered on Fridays and Saturdays in blended mode (you can follow the course from wherever you want, online or in the classroom) flanked by a curricular internship in the company that allows you to immediately apply the skills acquired in the classroom. Each partner company agrees with the University on an internship program consistent with the Master and the practical activities in the classroom are calibrated in order to optimize the result of the synergy between the classroom and the company.
The 2nd level Master degree is aimed at graduates in Engineering, Computer Science, Economics, Mathematics, Physics, or Statistics. Candidates coming from other master’s degrees will be evaluated from time to time by the authorizing committee, verifying the incoming programming and computer science skills.
The University of Tuscia is located in Viterbo, with campuses in and around its historical centre. Viterbo is the northernmost province of Lazio, in the heart of Italy, located less than 100 km from Rome and just over 200 km from Florence.
The University of Tuscia was founded in 1979 and quickly developed into what it is today: the hub of culture and learning in the province, offering courses suited to the requirements of local, national and international students.
Datrix is a group of data-driven tech companies that develop Augmented Analytics software solutions for Marketing, Sales, Publishing, and Investing purposes.
The group works to be the benchmark in Digital & Fintech Data Disruption, working with clients around the world among which: Google, Nestlé, Euronics, L’Oréal, TIM, Rothschild, UniCredit, Forbes.