Quantitative Economics

The Master’s program in Quantitative Economics and Statistics aims to prepare highly qualified graduates capable of analyzing economic phenomena using quantitative tools and modern statistical techniques, and of responding effectively to the needs of economic institutions, financial organizations, and decision-making bodies. The program provides students with advanced knowledge in econometrics, mathematical statistics, time series analysis, and economic modeling, while also equipping them with practical skills in data analysis using statistical programming languages such as Python and R. This enables them to build models, test hypotheses, conduct economic studies, and support strategic decision-making on rigorous scientific foundations.

The program also keeps pace with rapid digital transformations by integrating concepts and techniques related to Big Data, Machine Learning, and Deep Learning in the analysis of economic and financial data. This enhances students’ ability to process large and complex datasets, extract meaningful patterns, and forecast future trends with high efficiency. Furthermore, the program seeks to develop distinguished academic and research professionals by strengthening scientific research skills and analytical thinking, and by enabling students to conduct advanced applied research that contributes to the advancement of economic knowledge and the improvement of graduate studies and scientific research in the fields of quantitative economics and applied statistics.