Master in Data Science and Business Analytics

Bocconi University in Milan, founded in 1902, is an internationally respected institution for economics, management and finance. Its compact urban setting and research-led faculty create a learning environment that balances analytical rigor with practical application. With around 15,200 students and roughly 4,000 internationals, Bocconi fosters cross-cultural collaboration and a global perspective that suits students aiming for careers in business, public policy and finance.

Academic offerings span undergraduate, graduate and executive programs, including 27 specialized tracks that emphasize quantitative skills, case-based learning and industry engagement. Courses are frequently complemented by internships, consulting projects and career workshops supported by the university’s strong corporate partnerships. Research centers and visiting practitioners bring current market insights into the classroom, while entrepreneurship initiatives encourage students to develop real ventures during their studies.

Student life in Milan adds cultural and professional depth: the city’s commercial and creative industries provide internship pipelines, networking events and cultural enrichment. Bocconi’s career services, alumni network and recruiting calendar help students transition smoothly into employment across Europe and beyond. International students benefit from orientation, language support and active student associations, making Bocconi a focused choice for those seeking an applied, internationally connected education in economics and business.

The Master in Data Science and Business Analytics at Bocconi University is a 2-year program for students with a strong background in computational, statistical, and mathematical sciences. This Master's degree teaches students cutting-edge techniques for extracting information from large data sets.

The curriculum includes a quantitative core with two tracks: Data Science and Business Analytics. Students develop skills in statistics, machine learning, and computer science, and learn to build algorithms and programming tools for data analysis and prediction.

Graduates can pursue careers as Data Scientists, Business Analysts, Quantitative Analysts, Data Engineers, or Management Consultants in industries like finance, healthcare, or technology, working for companies like Amazon, Microsoft, or Goldman Sachs.