The Undergraduate Program in Applied Statistics focuses on the practical application of statistical methods to analyze and interpret data across a wide range of industries. This program equips students with the theoretical foundation and technical skills needed to collect, organize, and analyze data, helping to make informed decisions in fields such as business, healthcare, economics, government, and technology. Applied statistics emphasizes real-world problem-solving, data-driven decision-making, and the use of statistical software for analysis.
The curriculum includes core courses in probability theory, mathematical statistics, regression analysis, and statistical inference. Students also study specialized topics such as time series analysis, multivariate analysis, survey design, experimental design, and data mining. These courses provide students with the tools to model and analyze complex data sets, identify trends, and make predictions. Additionally, the program integrates the use of statistical software such as R, Python, and SAS to ensure students are proficient in data analysis tools widely used in industry. Students gain practical experience through projects, case studies, and internships, where they apply statistical methods to solve real-world problems.
Career opportunities for graduates of the Applied Statistics program include roles as statisticians, data analysts, business analysts, actuarial analysts, and quantitative researchers. Graduates can work in industries such as finance, insurance, healthcare, government, and technology, where data analysis is crucial for decision-making.
- 30-06-2024
- ¥500
- ¥0
- ¥4,000