Program Overview

Program Overview

The Master's program in Big Data: Statistical Methods for the Knowledge Society is designed to provide students with a comprehensive understanding of big data analysis through the use of advanced statistical methods. The program aims to equip students with the skills necessary to extract valuable insights from large datasets and to apply these insights in a variety of contexts, including business, public administration, and policy-making.

Program Details

• ID: 29034
• Course type: Master
• Academic year: 2022/2023
• Degree level: M2
• Length: Annual
• Tuition fee: 6000
• CFU: 60

Educational Goals

The program's educational goals are centered around providing students with a deep understanding of big data analysis and its applications. The program aims to:

• Acquire knowledge of big data through the use of advanced statistical methods
• Enhance the quality of existing data sources and develop new methodologies for data collection and integration
• Apply big data analysis to various fields, including demographics, socio-economics, and healthcare
• Use big data for explanatory, predictive, and evaluative purposes

Program Structure

The program is structured to provide students with a comprehensive education in big data analysis. The curriculum includes:

• Data collection methods: Manual and automatic data collection, as well as the use of open data in public administration
• Data analysis: Advanced statistical methods for data analysis
• Applications: Explanatory, predictive, and evaluative applications of big data analysis

Admission Criteria

Admission to the program is based on a selection process. The program has obtained 3 INPS Executive scholarships, which will be awarded to public employees based on their position in the ranking.

Faculty and Department

• Director: Fiorenza Deriu
• Department: Scienze statistiche
• Faculty: Facoltà di Ingegneria dell'informazione, informatica e statistica

Location

The program is located in Roma, Italia.