The department hosts a modern Statistics Laboratory equipped with advanced technological facilities. The laboratory is equipped with 25 modern computers installed with licensed statistical software, including Stata and E-Stat.
The laboratory provides students with the technical and software resources necessary to develop skills in data analysis, statistical modeling, and interpretation of results. This plays an important role in achieving the learning outcomes of the educational program.
Students acquire practical skills in statistical analysis, econometric modeling, hypothesis testing, and survey design. In addition to Stata and E-Stat, modern open-source programming environments such as R and Python are widely used in the teaching process.
The university provides access to licensed software when required, while open-source software is installed and introduced to students with methodological support from the department.
