Registration ends 07.4.2026 at 23:59 h

As quantitative data play an increasingly important role in academia and beyond, developing strong data literacy and quantitative research skills is essential. This course combines theoretical models with empirical research to deepen our understanding of politics empirically. The class is structured into two blocks. The first block will begin with input from the lecturer on research design, covering key aspects such as formulating a research question, developing a theoretical argument, deriving testable hypotheses, and measuring concepts. The second block will focus on statistics, with input from the lecturer and practical guidance on implementing research design concepts and testing them using the statistical software STATA. Additionally, this block includes STATA exercises that provide students with hands-on experience with data management and statistical analysis to conduct their own analyses and interpret the results.

Students will learn key quantitative methods for analyzing a wide range of political phenomena and will be guided through the core steps of empirical political science research—from formulating research questions and deriving hypotheses to testing them using quantitative methods. The course also provides an introduction to the statistical program STATA, equipping students with the skills needed to conduct their first independent empirical analysis.

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