Statistical and actuarial sciences

The Coordinator, prof. Alberto Floreani, talks about the programme

The School of Banking, Finance and Insurance Sciences offers its learning, organisational, and research resources for the launch of this Graduate degree programme. The programme is structured in one curricula: Actuarial sciences for insurance.

The learning objectives of the Graduate degree programme in Actuarial Sciences, Risk and Data Analysis (which belongs to Degree Class LM-83 and is taught in English) include the following competencies, knowledge and abilities.

For the profile Actuarial Sciences for Insurance, which allows a direct access to the actuarial exam, in line with the international courses in actuarial sciences (cf. International Core Syllabus of both the Actuarial Association of Europe and International Actuarial Association) in particular, the objectives are as follows:

• strong knowledge of statistical methodology and its applications in the fields 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 environment, 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.