Study Plan

This program has a strong methodological approach. Students learn solid method-based knowledge that will remain relevant as technology advances. At the same time, they are also exposed to a practical approach, gaining the ability to design and build large software systems, specifically state-of-the-art machine learning systems and intelligent systems. These abilities are acquired in project-based courses.

Coursework is also interdisciplinary. This allows students to gain an awareness of the applications of computing technologies in other disciplines where such technologies have a large impact, taking advantage of Bocconi’s other areas of expertise, including finance, economics, public policy, accounting, management and law.