Statistics is a specialty that studies methods of data collection, processing, analysis, and interpretation. It helps make well-grounded decisions under conditions of uncertainty and large volumes of information. Statistical approaches are applied across all fields: economics, medicine, biology, marketing, sociology, engineering, sports, and public administration. The aim of the specialty is to teach how to transform scattered data into useful information, identify patterns, forecast the future, and evaluate the effectiveness of actions.

Students master probability theory, mathematical statistics, parameter estimation methods, hypothesis testing, regression and analysis of variance, time series, and multivariate statistical methods. They study statistical software environments (R, Python, SAS, SPSS, Stata), Big Data processing methods, machine learning, and experimental design. Students learn to select appropriate models for specific tasks, interpret results, and assess the accuracy and reliability of conclusions.

Training is provided by:

- the Department of Higher Mathematics and Systems Analysis (405);

- the Department of Economics and Public Administration (601).

Educational Programs Offered:

Educational Program	Degree	Mode of Study	Duration of Study
Statistical Data Analysis	Bachelor	Full-time	3 years and 10 months
Applied Statistics and Data Management in Commercial Activities