• lmdatascience.jpg
Home Graduate Programs 2-year Graduate Degrees in English Statistical and Actuarial Sciences

Actuarial sciences for insurance


Campus School Duration Total ECTS Edition n.
Milano, Italy Banking, Finance and Insurance Sciences | Economics September 2019 - September 2021 120 3

 

Actuarial Sciences for insurance

This is a new program developing essential skills in the area of statistical and mathematical modelling with the objective of preparing professionals able to apply their skills in insurance, banking, and more generally companies embracing the fast-growing digital revolution.

 

Learning objectives

The learning objectives include the following competencies, knowledge and abilities:

  1. strong knowledge of statistical methodology and its applications in the field of economics, economic-management, finance, demography, sociology, insurance and social security;
  2. Deep knowledge of mathematical models, specifically probability models to apply to finance and actuarial phenomena as well as economic and corporate sciences;
  3. Deep knowledge of quantitative models in the area of risk management;
  4. 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;
  5. 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.

 

 

We use cookies to improve our website and your experience when using it. Cookies used for the essential operation of the site have already been set. To find out more about the cookies we use and how to delete them, see our Privacy Policy.

I accept cookies from this site

http://www.unicatt.it/cookies