The student will obtain a general understanding of the nature and relevance of Big Data for today’s Insurance Industry as well as a knowledge of common risk measures and the main statistical tools to handle dependence in the insurance and financial fields.
Data Science for Insurance
Learning Goals
Program in pills
Data Management. Principles of data design. Data hunt, design, implementation. Risk and copula theory: Definition of risk, risk factors, and loss distributions, Basics of multivariate modeling with copulas; risk aggregation and correlation fallacies.
Area
Multidisciplinary, Ethical-Judicial-Social Knowledge and Applications
Curriculum Foundations
TAF Type
Curriculum Industry
TAF Type
Curriculum Health
TAF Type
Curriculum Economy
TAF Type
SSD
ECTS
Semester
Lecturers
Roberta Pappadà
Felician Leonardo