Master's in Data Science and Business Analytics

Bocconi University has evolved into a globally recognized institution, renowned for its innovative approach to education and research. The university's commitment to providing a transformative learning experience is reflected in its diverse academic programs, ranging from undergraduate to postgraduate levels, all designed to equip students with the skills and knowledge needed for success in a rapidly changing world. What sets Bocconi apart is its international outlook, fostering an environment that encourages cross-cultural understanding and collaboration. The university's strong ties with the business and economic sectors ensure that students not only gain theoretical knowledge but also practical insights, preparing them to navigate the complexities of the global professional landscape. Bocconi University, with its illustrious history and forward-looking approach, continues to be a hub for those aspiring to make meaningful contributions to the fields of economics, management, finance, and beyond.

This MSc is designed for students having a strong bent for Computational, Statistical, and Mathematical Sciences and a genuine interest in working with data. Students will be taught cutting edge techniques for extracting impactful information from large data sets and for effectively communicating them in order to influence the strategic decisions of the organizations where they will work. The program is structured into two tracks sharing a modern quantitative core: Data Science and Business Analytics. They specifically pursue, to different extents, the following qualifying goals: Provide a strong foundation in theoretical and applied Statistics and in Machine Learning, that is essential for identifying effective models and methods for data analysis and prediction. Develop advanced skills in Computer Science that are crucial for building algorithms and programming tools suited for the actual implementation of statistical methods. Develop a profile that combines solid quantitative skills with in-depth knowledge of corporate dynamics to support management in making strategic decisions grounded on data analysis. Develop competencies, via educational activities inside and outside the classroom, that promote teamwork skills, ability to present and discuss the results of one’s work effectively, and that promote understanding of ethical and legislative limits related to the use of large-scale databases.