Program Overview

Program Overview

The Data Science program is an interdisciplinary field of study that has established itself in recent years to offer the methodological tools and technologies necessary for the management and analysis of big data and their valorisation in industry, services, and research. The phenomenon of big data has revolutionized countless sectors of economic-social activity and has profoundly modified the research methodologies and the development of technological innovation in numerous disciplines and applications.

Program Details

• 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

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:

• Advanced digital platforms
• Management of urban spaces and environmental resources
• Medicine and health
• 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.

Evaluation and Tests

• Exam - Oral: Scheduled for July 22, 2025, at 13:00 in Aula B203, Department of Computer, Control and Management Engineering (DIAG) - Via Ariosto, 25 - 00185 Roma
• Tests - Evaluation of qualifications: Scheduled for July 7, 2025

Department and Coordinator

• Department: Ingegneria Informatica, Automatica e Gestionale “Antonio Ruberti”
• Coordinator: Fabrizio Silvestri

Research Areas

The program focuses on the development of innovative methodologies and technologies based on the use of big data in various fields of application, including advanced digital platforms, management of urban spaces and environmental resources, medicine and health, and economic and social analysis.