Available courses

The main aim of the module is to give the students a deep understanding of models and econometric techniques used to study time series data, with a special emphasis on applications in macroeconomics. It covers univariate time series models, unit roots, spurious regressions and cointegration, multivariate time series models, and other forecasting methods.

This master's-level course is designed to provide students with a comprehensive understanding of the intersection between big data analytics and population processes. The course will cover fundamental concepts, methodologies, and applications related to analyzing large-scale datasets in the context of population studies. Students will gain hands-on experience with relevant tools and technologies, allowing them to apply their knowledge to real-world scenarios.