Master in Data Science and Business Analytics

Data Science and Business Analytics combines statistical methods, computer science, and business knowledge to extract insights from data and support organizational decision-making. This master's programme at Universita Commerciale "Luigi Bocconi" in Milan is taught in English over two years and prepares students to work with large datasets, statistical models, and analytical tools used across industries. Typical coursework includes statistics, machine learning, database management, and programming, alongside business-oriented subjects such as marketing analytics, financial modeling, and operations research. Students usually learn how to collect, clean, and analyze data, build predictive models, and communicate findings in ways that inform business strategy. Because the programme is hosted at a university with a strong business and economics orientation, coursework often situates technical data skills within a broader managerial context, examining how companies use analytics to improve pricing, customer segmentation, supply chain efficiency, and risk management. Subjects such as data visualization, experimental design, and the ethical use of data are also common components of programmes in this field. Students typically gain practical experience working with real datasets and analytical software, developing both the technical skills needed to build models and the communication skills needed to present results to non-technical audiences. Graduates commonly work as data scientists, business analysts, data engineers, or analytics consultants, in sectors including finance, retail, technology, and consulting. Others pursue roles in market research or move into further academic study in statistics, computer science, or business. The field sits at the intersection of quantitative methods and business strategy, reflecting the growing role that data-driven decision-making plays in modern organizations. Milan's position as a major business and finance center provides additional context for studying how analytics is applied in commercial settings. The programme's English-language format and two-year structure are designed for international students pursuing postgraduate study in data-related fields in Italy.