Program Overview

Data Science Program Overview

The Data Science program at Sapienza University of Rome is designed to provide students with a comprehensive education in data analysis, interpretation, and presentation. The program is interdisciplinary, bringing together the four departments of Sapienza's Faculty of Information Engineering, Computer Science, and Statistics.

Program Structure

The program is structured to provide students with a solid foundation in data science, including:

• Data analysis and interpretation
• Data storage and processing
• Communication of results across different fields of application
• Interdisciplinary approaches to data science

Quality Assurance

The Quality Assurance (QA) System of Sapienza University is extensively described on the Quality Team Web Pages. The QA System is designed to ensure the continuous improvement of program quality, with a focus on student progression, student satisfaction, and employment outcomes.

Quality Assurance Management Committee (CGAQ)

The CGAQ is composed of:

• Prof. Enrico Scalas – QA Coordinator
• Prof. Walter Quattrociocchi – Program Chair
• Prof.ssa Francesca Cuomo
• Technical-administrative staff members
• Two student representatives The main responsibilities of the CGAQ include:
• Drafting the Annual Monitoring Report (Scheda di Monitoraggio Annuale)
• Preparing the Cyclical Review Report (Rapporto di Riesame Ciclico)
• Analyzing Student Opinions (OPIS)

Consultation with Representative Organizations

Numerous organizations from the professional, service, and industrial sectors were consulted regarding the proposal to establish a Master's Degree in Data Science at Sapienza University of Rome. The consultation confirmed that the interdisciplinary approach of the proposed degree program is a fundamental asset in preparing the professional profiles currently sought by the job market.

Advisory Committee (Comitato di Indirizzo)

The Advisory Committee is a permanent advisory body involving professionals, service organizations, and industry representatives. The Committee performs the following functions:

• Monitoring and updating the study program in light of trends in the labor market
• Promoting collaboration opportunities related to internships, student orientation, and graduate employability
• Evaluating the effectiveness of graduate employment outcomes

Industrial Liaison Program (ILP)

The ILP facilitates continuous engagement with industrial partners, research institutes, and service organizations to identify shared areas of interest and to foster internships, master's theses, and career orientation activities.

Degree Programme Quality Assurance Documents

The Quality Assurance documents for the Data Science program are available on the Sapienza Università di Roma website. These documents provide detailed information on the program's quality assurance processes and activities.