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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
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
Admission Requirements
84+
6+
The degree and related studies undertook so far need to be in a subject which is relevant to the programme. Familiarity with statistics/mathematics at degree level is essential. Prospective students are required to have attended two courses in Statistics (12 ECTS) and two courses in Mathematics (14 ECTS) during their undergraduate studies; additionally, students should have a basic knowledge in at least one of the following broad subject areas: Economics, Business economics/Management, Finance, Computer science, Actuarial science* (26 ECTS).
This will be verified through the transcript of records, hence it is required that students who have not yet graduated send a copy of the official transcripts comprehensive of the subjects they still have to take.
The academic board will evaluate candidates’ academic and personal background and decide if they meet the specific conditions for admission.
* Students who need to strengthen their knowledge in Actuarial mathematics, Risk theory and Advanced mathematics might be required to attend a dedicated course at the beginning of the program (in the study plan, this will substitute the elective course).
07 May 2025
2 Years
Sep-2025
Tuition Fee
Domestic Students
6,250 EUR
-
International Students
8,840 EUR
-
Scholarships
One of the important factors when considering a master's degree is the cost of study. Luckily, there are many options available to help students fund their master's programme. Download your copy of the Scholarship Guide to find out which scholarships from around the world could be available to you, and how to apply for them.
Actuarial Sciences, Risk and Data Analysis
Milan, Milan, Italy
# 201-250QS Subject Rankings
24 monthsProgram duration
8,840 EURTuition Fee/year
07 May, 2025Application Deadline
Program overview
Main Subject
Accounting and Finance
Degree
MSc
Study Level
Masters
Study Mode
On Campus
The Postgraduate programme in Statistical and Actuarial Sciences is a two-year degree focusing on:
Program overview
Main Subject
Accounting and Finance
Degree
MSc
Study Level
Masters
Study Mode
On Campus
The Postgraduate programme in Statistical and Actuarial Sciences is a two-year degree focusing on:
Admission Requirements
* Students who need to strengthen their knowledge in Actuarial mathematics, Risk theory and Advanced mathematics might be required to attend a dedicated course at the beginning of the program (in the study plan, this will substitute the elective course).
Tuition Fee
Domestic Students
International Students
Scholarships
One of the important factors when considering a master's degree is the cost of study. Luckily, there are many options available to help students fund their master's programme. Download your copy of the Scholarship Guide to find out which scholarships from around the world could be available to you, and how to apply for them.
In this guide you will find:
Where to look for scholarship opportunities
How to apply to scholarships relevant to you
A list of available scholarships around the world
A scholarship application checklist
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