Description

Statistics students undertake courses covering probability theory, statistical inference, data analysis, and experimental design. Through real-world case studies, statistical software applications, and research projects, students develop skills in analyzing data and drawing meaningful conclusions. The curriculum also addresses topics such as regression analysis, time series analysis, and Bayesian statistics. With a focus on practical application and critical thinking, students are prepared for exams that assess their understanding of statistical methods and their ability to interpret data. Graduates pursue careers in market research, healthcare analytics, government agencies, academia, or data-driven industries.