Università Roma Tre

The course aims to deepen and extend the concepts and techniques acquired by students during the previous level of their studies to understand and manage complexity and risk in different contexts. We aim at providing students with skills for solving complex problems deriving from real applications, providing decision-making techniques through the application of quantitative approaches, giving an understanding of the interaction between computer science and the optimization of processes at an advanced level, offering tools for the management of large datasets in economics, finance and business.
The goal is to equip students with skills and encourage critical thinking from a quantitative point of view, to avoid a mere application of routines and algorithms.
The focus will be on the study and in-depth understanding of complex networks and different types of risk in financial, macroeconomic, energy, cyber and insurance fields, to list but a few.