Ph.D. in Applied Econometrics is a 4-6 year program that teaches statistical and mathematical approaches for analyzing economic data. It consists of advanced training in econometric theory, time series analysis, panel data, and machine learning, followed by extensive examinations. The program's core focuses on original research on themes such as macroeconomic forecasting, financial modeling, and policy impact assessment, which culminates in a dissertation. Students become proficient in statistical tools (e.g., R, Stata, Python) for empirical analysis. Graduates are prepared for positions as econometricians, data scientists, or economic analysts in academia, finance, government, and consultancy, with funding available through assistantships and research grants.
