Edition: 10
Learning objectives
- Strong knowledge of statistical methodology and its applications in the field of economics, economic-management, finance, demography, sociology, insurance and social security
- Deep knowledge of mathematical models, specifically probability models to apply to finance and actuarial phenomena as well as economic and corporate sciences
- Deep knowledge of quantitative models in the area of risk management
- Mastery of logic, conceptual and methodological tools for planning and executing research for the analysis and evaluation of complex systems linked to economies, production, markets, insurance problems and the environmental, with a specific reference to the occurrence of damaging events
- Corresponding ability to build models that explain and foresee phenomena being studied and establish their applicability and validity with data analysis, and therefore a highly qualifying operating ability in the field of quantitative analysis of economic, corporate, socio-demographic and financial problems related to social security and insurance.
Satisfaction of those who completed the programme
97,2%
of graduating students say they were satisfied with their programme
91,2%
of graduates would enrol again in the programme
100%
of our graduates are employed within a year after graduation
Source Read
The satisfaction of those who have completed the degree programme refers to the Graduating Students' Survey of the calendar year 2023.
The percentages relating to employment opportunities refer to graduates of 2022 (if 1 year after graduation), 2020 (if 3 years after graduation) and 2018 (if 5 years after graduation).
The percentages relating to employment opportunities refer to graduates of 2022 (if 1 year after graduation), 2020 (if 3 years after graduation) and 2018 (if 5 years after graduation).
