Program Overview

Program Overview

The Master's program in Big Data: Statistical Methods for the Knowledge Society is designed to provide students with advanced knowledge and skills in statistical analysis and data management. The program aims to equip students with the ability to collect, analyze, and interpret large datasets, and to apply statistical methods to real-world problems.

Program Details

• Identificativo: 29034
• Tipo offerta formativa: Master
• Anno accademico: 2022/2023
• Livello: M2
• Durata: annuale
• Importo: 6000
• CFU: 60

Program Objectives

The program objectives are to:

• Acquire knowledge on Big Data through the use of statistical methods and techniques
• Enhance the quality of existing data sources and develop new methodologies for data collection and integration
• Apply statistical methods to study trends and processes of transformation in demographic, socio-economic, and health fields
• Use Big Data for predictive purposes, such as studying business decisions and policy-making
• Evaluate the impact of investment choices in business, public administration, and policy-making

Program Structure

The program includes:

• Obiettivi formativi: The program aims to provide students with advanced knowledge and skills in statistical analysis and data management
• Metodi di data collection: The program covers methods of data collection, from manual to automatic, and the use of Open Data in public administration
• Integrazione dei Big Data: The program focuses on the integrated use of Big Data with other statistical sources for explanatory, predictive, and evaluative purposes

Admission and Tuition

• Borse di studio: The program offers 3 INPS Executive scholarships of € 4800 each
• Importo della quota di iscrizione: The tuition fee is € 6000
• Requisiti di accesso: The admission requirements are specified in the Piano Formativo document

Program Faculty and Location

• Dipartimento: Scienze statistiche
• Facoltà: Facoltà di Ingegneria dell'informazione, informatica e statistica
• Sede: Roma, Italia
• Direttore: Fiorenza Deriu