Data Science and Business Analytics Università Commerciale Luigi Bocconi

Overview

The M.Sc. in Data Science and Business Analytics at Università Commerciale Luigi Bocconi is a comprehensive two-year programme aimed at students with a strong interest in computational, statistical, and mathematical sciences, as well as a passion for data-driven decision-making. The curriculum is meticulously designed to impart cutting-edge techniques for extracting valuable insights from extensive data sets and effectively communicating these findings to influence strategic decisions within organisations. This programme not only prepares students for immediate employment but also lays a solid foundation for those wishing to pursue further academic research in related fields.

Università Commerciale Luigi Bocconi is ranked among the top five universities in Europe, renowned for its excellence in research and education. The university's robust reputation is bolstered by its strong partnerships with a vast network of over 290 partner schools and 4,000 employers, providing students with exceptional career opportunities and a global perspective. The faculty's commitment to innovation and research ensures that students are exposed to the latest advancements in both theoretical and applied aspects of social sciences, enhancing their educational experience.

The tuition fees for the M.Sc. in Data Science and Business Analytics are set at EUR 18,200 per year for both international and European students. Visit the Fees and Funding section for a breakdown in your local currency.

The programme is structured into two distinct tracks, each sharing a modern quantitative core:

• Business Analytics Track: Focuses on applying data science within business contexts, covering data visualisation, predictive modelling, machine learning, natural language processing, and statistical analysis.
• Data Science Track: Offers a broader perspective on data science, equipping students with the theoretical and computational skills necessary to develop and implement innovative machine learning algorithms and statistical methods.

Graduates of this programme are well-prepared for roles such as professional data scientists and business analysts. The programme boasts an impressive employment rate, with 93.2% of graduates securing jobs within a year of graduation. Many alumni find opportunities in diverse sectors, including finance, technology, and consulting, with 39% of employed graduates working abroad. The skills acquired during the programme enable graduates to excel in data-driven roles across various industries, while also providing a pathway to pursue PhD studies in related fields.