Description
The Bachelor’s Degree in Statistics and Actuarial–Financial Mathematics at the University of the Aegean provides comprehensive education in statistics, actuarial science, and financial mathematics. It combines the theoretical foundations of mathematics with applications in data analysis, economics, insurance, and risk management. The program incorporates modern quantitative and computational methods. It prepares students for demanding academic and professional environments. Graduates gain a strong mathematical background and specialization in stochastic and financial models. These skills are applied to real-world data and contemporary financial practices.
Relation to Employment
Graduates may work in insurance companies, banks, financial institutions, data analysis firms, and the public sector. They can also pursue careers as actuaries, statistical analysts, and data analysts, as well as continue with postgraduate and research studies.
Access Requirements / Progression Opportunities
Admission to the program requires a Secondary School Leaving Certificate (High School Diploma) and successful participation in national-level examinations or qualifying entrance examinations.
Knowledge
Graduates acquire knowledge in statistical theory, probability, stochastic models, actuarial mathematics, and financial systems. They become familiar with data analysis techniques, econometric models, and methods for forecasting and risk estimation. In addition, they develop an understanding of mathematical modeling of economic and insurance phenomena.
Skills
Graduates develop skills in quantitative analysis, data processing, and the use of statistical and computational tools. They also gain skills in modeling, solving complex problems, and interpreting economic and financial data. In addition, they enhance their ability to use programming tools for data analysis.
Competences
Graduates develop abilities in critical and analytical thinking, as well as in synthesizing mathematical and economic knowledge. They are able to approach complex problems of uncertainty, risk, and financial forecasting using scientific methodology. Furthermore, they can work in interdisciplinary environments combining mathematics, economics, and computer science.