The program is designed around four pillars: advanced technologies in Software Engineering, Statistical techniques, Telecommunication Engineering, and Business. All these subjects are needed to acquire the capacity to design and manage Big Data. The aim of the first period is the transmission of knowledge through traditional lectures, laboratory training and seminars. Class attendance will be compulsory. Classes will be held from Monday to Friday for 30 hours a week on average.

The course implies activities for a total of 60 university credits (ECTS), 54 acquired through the frontal lectures. Furthermore, the students shall produce a written final work (Master thesis), which corresponds to 6 ECTS credits. Frontal lectures are organised in three terms. In the first two terms, which are the core of the Program, the student will receive the basic knowledge needed to manage Big Data. In the third term the student can choose between elective subjects.