Department of Applied Statistics

Applied Statistics is the discipline that encompasses the collection, analysis, interpretation, and purposeful use of data. By applying theoretical statistics to practical problems, it generates solutions in diverse fields such as business, engineering, healthcare, public policy, and the social sciences.

 

This department's programs cover the following comprehensive data analysis techniques:

Descriptive statistics, probability theory, and inferential methods

Regression analysis, Monte Carlo simulations, Bayesian statistics

Parametric and nonparametric tests, sampling theory

Statistical computation and computer-based analysis methods

Individuals specializing in applied statistics can work in a variety of sectors, including

Healthcare and biostatistics: data analysis in medical research and clinical practice

Engineering and manufacturing: quality control and process optimization

Finance and economics: risk analysis, modeling, and forecasting

Social and environmental sciences: interpretation of research results

 

While applied statistics is based on the theoretical foundations of statistics, its primary focus is on generating practical solutions. Unlike theoretical statistics, it focuses on data collection, software use, and interpreting results. This discipline plays a critical role in data-driven decision-making.