Master in DATA SCIENCE AND BUSINESS INFORMATICS

This two-year master's degree at Università di Pisa, taught in English, combines data science with business informatics, a pairing that addresses how organizations collect, analyze, and act on data to support decisions and operations. Data science as a discipline draws on statistics, machine learning, and computer science to extract patterns and insights from structured and unstructured data, while business informatics focuses on the information systems, processes, and technologies that organizations use to manage information and operations. Students in programmes of this kind typically study statistical methods, machine learning and data mining, database systems, and programming, alongside business-oriented subjects such as information systems design, business process management, and decision support. Practical components often involve working with real or realistic datasets, building predictive models, and translating analytical results into recommendations relevant to organizational decision-making. Because the field bridges technical and managerial perspectives, coursework commonly addresses how data-driven methods are applied within specific business functions, including marketing, operations, supply chain management, and finance. Graduates from this area of study pursue roles such as data analyst, data scientist, business intelligence specialist, and data engineer across a wide range of industries. Others move into consulting, helping organizations design data strategies and information systems, or into product and operations roles within technology companies where data informs decision-making. The combination of quantitative and business skills also opens paths into management roles overseeing digital transformation and analytics functions within larger organizations. As firms across sectors increasingly rely on data for competitive advantage, this dual grounding in analytical methods and business processes positions graduates for work at the interface of technology and organizational strategy, over the course of a two-year graduate programme.