Master's Degree in Data Science

General

Program Description

The Master’s degree program in Data Science offers an interdisciplinary approach gathering contributions from Engineering, Computer Science, Statistics, Economic and Organizational Sciences, as well as specific knowledge of the main Data Science application domains. In particular, the Master’s degree program in Data Science offers the necessary professional knowledge for the development of big data collection, management, processing, and analysis technologies, and the resulting translation of these into key information for the knowledge and decision-making process within innovative business and social sectors.

This two-year degree consists of the first set of 39 credits in key academic disciplines aimed at providing basic Statistics, Engineering, and IT knowledge needed to develop appropriate software tools and infrastructures for the collection, processing, and organization of big data and of the mathematical-statistic models useful for their analysis. The 39 credits will include at least 10 credits related to laboratory activities or individual study. These key courses are compulsory for all students, and the credits will be divided as follows: 27 on computer technologies and 12 on statistical subjects.

Students will choose up to 30 credits in key academic disciplines. At least 6 of the 36 credits will be chosen among Humanities, Social, Juridical, and Economic Sciences. Such disciplines are aimed at a professional profile combining engineering and computer knowledge with statistics, management, economic and juridical skills. These skills need to be developed together with a thorough knowledge of the economic, social, and organizational context where Data Science methodologies are applied.

Students will complete their course of study with 12 elective credits and 12 related to activities in related academic disciplines. Attendance is compulsory only for laboratory and practical activities. All courses are taught in English.

Students’ achievement will be assessed through mid-term tests, discussions of group activities, or individually written works submitted during exams.

This course of study allows the Master’s graduate in Data Science to find jobs in small and middle-sized enterprises, large companies, public bodies, local institutions, and public and private research institutions. Their step into Ph.D.s and Masters is also another opportunity for the Data Science Master’s graduate.

Last updated Nov 2020

About the School

With over 700 years of history, 113,500 students, 3,300 teachers and 2,000 employees, technicians and librarians, in addition to 1,800 administrative staff in university hospitals, Sapienza is the fir ... Read More

With over 700 years of history, 113,500 students, 3,300 teachers and 2,000 employees, technicians and librarians, in addition to 1,800 administrative staff in university hospitals, Sapienza is the first university in Europe. Our mission is to contribute to the development of a knowledge society through research, excellence, quality education and international cooperation. Read less