The 1st cycle degree programme in Statistics, Finance and Insurance aims to train graduates able to work in financial and insurance markets, or deliver financial and insurance services to businesses and individuals. Graduates have the tools to perform quantitative analyses of investment plans and measure the level of risk involved in loans to people or organisations. The methodological, technical and professional skills of graduates are based on the integration of statistical, economic, actuarial and financial methods; the aim is to train financial and insurance market operators with the…
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The 1st cycle degree programme in Statistics, Finance and Insurance aims to train graduates able to work in financial and insurance markets, or deliver financial and insurance services to businesses and individuals.
Graduates have the tools to perform quantitative analyses of investment plans and measure the level of risk involved in loans to people or organisations.
The methodological, technical and professional skills of graduates are based on the integration of statistical, economic, actuarial and financial methods; the aim is to train financial and insurance market operators with the quantitative skills needed to analyse financial markets, design and manage insurance products and define investment and risk management strategies.
The proposed curriculum combines theoretical learning activities in mathematics, statistics and probabilistic methods with more vocational activities focusing on the study of financial and insurance risk management, the junior actuary and statistical technician figures working in financial and insurance companies. Theoretical knowledge is also combined with vocational skills in traditional workshop-based learning activities, specific group work and the possibility to perform an internship in a business.
The course structure diagram, covering three years, aims at least ideally to offer a programme that moves from the general to the particular and from the theoretical to the practical. The first year lays the theoretical bases of mathematics and statistics. It also includes an introduction to economics, finance and computing. The second year further develops the competences acquired in the first year: it introduces models and applications of financial mathematics and actuarial sciences. It also develops knowledge of statistical inference, demographics, economic statistics and economic and business disciplines. Finally, in the last year students acquire knowledge of financial econometrics, credit scoring and risk analysis and management. The students then further their studies of the individual core and vocational aspects in elective course units with a significant practical component, most of which focus on laboratory work.
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