Statistics and Econometrics

Degree program: MSc Business Analytics and Data Science

This module provides a comprehensive understanding of statistical analysis and econometric techniques. Students will refresh and expand their knowledge about Statistics and Econometrics, including univariate and bivariate analysis, ANOVA, multiple linear regression models, and prediction. Moreover, students will explore methods for hypothesis testing, interpreting regression results, and handling problems like outliers or heteroscedasticity. These statistical concepts and tools are essential for analysing relationships among variables, making data-driven decisions, and providing valuable insights to support business strategies.

Through hands-on exercises and the empirical project at the end of the course, students will learn how to apply theoretical concepts for real-world questions and problems.

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