Data Science

ID : 
30101
Course type : 
Dottorato
Academic year : 
2025/2026
Positions : 
6
Grant numbers : 
6
Number of scholarships financed by institutions : 
0
Number of scholarships financed by consortiums : 
4
Educational goals

Data Science is an interdisciplinary field of study that has established itself in recent years in order to offer the methodological tools and technologies necessary for the management and analysis of big data and their valorisation in industry, services, and search. The phenomenon of big data has revolutionized countless sectors of economic-social activity. The phenomenon of big data has also profoundly modified the research methodologies and the development of technological innovation in numerous disciplines and applications. The main objective of this PhD is the realization of interdisciplinary research projects of Data Science that lead to the development of innovative methodologies and technologies based on the use of big data in the following fields of application: i) Advanced digital platforms, ii) Management of urban spaces and environmental resources iii) Medicine and health iv) Economic and Social Analysis Data Science receives the decisive contribution of computer science, statistics, engineering, applied mathematics, and academic disciplines that help to understand the impact of big data in applications.

Exam - Oral

Giorno: 22/7/2025 Ora: 13:00 Aula: B203 Indirizzo: Department of Computer, Control and Management Engineering (DIAG) - Via Ariosto, 25 - 00185 Roma

Tests - Evaluation of qualifications

Giorno: 7/7/2025

Department
Ingegneria Informatica, Automatica e Gestionale “Antonio Ruberti“
Coordinator

Fabrizio Silvestri (fabrizio.silvestri@uniroma1.it)

© Sapienza Università di Roma - Piazzale Aldo Moro 5, 00185 Roma - (+39) 06 49911 - CF 80209930587 PI 02133771002