Master in DATA SCIENCE AND MANAGEMENT

Data science and management brings together quantitative and computational methods for analyzing data with the business knowledge needed to apply those insights within organizations. Students typically study statistics, machine learning, database systems, and programming alongside management subjects such as strategy, marketing, and organizational decision-making. The aim of combining these areas is to prepare students who can not only build and interpret data models but also understand how to translate analytical findings into decisions that affect a business or organization. This Data Science and Management program is offered at the master's level by Luiss Libera Universita Internazionale degli Studi Sociali Guido Carli, located in Roma, Italy, and is taught in English. The program runs for two years, in keeping with the standard structure of master's degrees in the European system, allowing students to build technical data skills together with a grounding in management theory and practice. Graduates of this type of program typically move into roles such as data analyst, business intelligence specialist, or data scientist within companies across sectors including technology, finance, retail, and consulting. Others take on more management-oriented positions where their technical background supports decisions about digital strategy, product development, or process improvement. Because organizations increasingly rely on data to guide decisions, graduates who combine analytical skills with an understanding of business operations are often well placed to work at the intersection of technical teams and management, translating between the two. Some also continue toward further study in data science, statistics, or business analytics, deepening their technical specialization after completing the master's degree.