"Statistical thinking will one day be as necessary a qualification for efficient citizenship as the ability to read and write." (H.G. Wells, 1865)

The skill of statistical thinking has never been more crucial than in today's data-driven society. As the world becomes increasingly dependent on data and technology, the ability to effectively interpret, analyze, and communicate data has become a key to personal and professional success. By utilizing statistical thinking, individuals and organizations can uncover patterns, trends, and insights that might otherwise go unnoticed.

At the Department of Statistics and Econometrics, we understand the importance of statistical and analytical skills in the modern world. Therefore, we strive to equip our students with the tools they need to achieve professional success.

Team The Department of Statistics and Econometrics is one of the larger departments at the Faculty of Management and Economics. It consists of specialists in statistics, econometrics, forecasting, big data, as well as spatial and multivariate analysis.

For more information, please visit the Team page.

Research The research conducted at the Department of Statistics and Econometrics covers various topics, including:

  • Income inequalities
  • Global value chains
  • Ethics of quantification
  • Measurement of informal work
  • Grey zone analyses
  • Assessment of sustainable development goals' achievement
  • Social convergence
  • Energy transformation
  • Risk and price competition in retail credit markets

For more information, please visit the Research page.

Education The department provides teaching activities for all majors offered at the Faculty of Management and Economics. The faculty members of the Department of Statistics and Econometrics supervise bachelor's, engineering, and master's theses. The curriculum of the department focuses on developing quantitative and analytical skills necessary for understanding and solving complex problems in the real world. The topics covered in the teaching activities range from basic statistical principles and mathematical statistics to financial and spatial econometrics, as well as big data and advanced forecasting methods. Classes and diplomas are offered in both Polish and English. The department also oversees the certified EMOS specialization.

More information on the page Education.