Academic Content and Curriculum of Insurance and Actuarial Sciences Undergraduate Program

The academic content of the Bachelor of Science in Insurance and Actuarial Science is designed to provide students with in-depth knowledge and skills in insurance and financial risk management. The curriculum is generally enriched with courses in mathematics, statistics, economics, and finance so that students can develop the comprehensive analytical and problem-solving skills required by the actuarial profession.

Mathematics and Statistics: The core courses of the program cover topics such as probability theory, statistical methods, and financial mathematics. Students learn data analysis, risk assessment and mathematical modeling techniques. More advanced statistics courses such as time series analysis and survival analysis may also be offered.

Economics and Finance: Economics courses teach macroeconomic and microeconomic theories, while finance courses familiarize students with financial markets, financial instruments and institutions. In addition, topics such as investment analysis, portfolio management and corporate finance are emphasized.

Insurance Sciences: This area focuses on insurance law, insurance accounting, non-life and life insurance, health insurance and pension funds. Students learn practical skills such as policy design, premium calculation and risk assessment.

Risk Management: Risk management courses provide students with knowledge on how to recognize, assess and mitigate various financial and insurance risks. They also cover analyzing the effects of financial crises and developing strategic plans for such situations.

Computer Science and Technology: The program also includes courses in databases, programming languages and computer applications. These courses provide students with basic knowledge of software tools and technologies used in financial modeling and risk assessment processes.

Teaching methods include theoretical lectures as well as case studies, project-based assignments and workshops working with real data. Such interactive learning methods allow students to reinforce their theoretical knowledge with practical applications. Internships are also an important part of the program, allowing students to connect with the industry and gain real work experience.