Political Science - Subjects Offered by the Department
The Bachelor's program in Political Science offers courses in the following areas: Comparative Politics, International Relations and Political Sociology. These areas provide students with a solid foundation in Political Science. Later, students are able to concentrate on an area they chose to specialize in.
Within the area of Comparative Politics students gain a profound understanding of political institutions, legislative processes in Europe, coalition formation and policy-making, as well as in the study of elections.
The area of International Relations focuses on European Integration, theories of International Relations and several areas of International Cooperation.
Political Sociology looks at the ties between politics and societies in Europe, political participation and electoral behaviour, political communication and theories of political decision-making.
The MA program offers courses in three modules: comparative politics, international relations, and advanced methods.
Comparative Politics: Courses focus on the comparative analysis of traditional areas of political participation and decision-making, including parliaments, governments, and constitutional courts, individual actors, such as voters, and collective political actors, including political parties, civil society, and social movements. Other institutional arrangements of political systems that are covered in seminars include the origins and effects of electoral systems. The main empirical focus lies in the comparative analysis of democracies in Europe.
International Relations: The main themes include the causes and consequences of globalization, the analysis of conflicts, terrorism and its mediation, the transformation of statehood, and the development and reform of international organizations.
Advanced Methods: Courses provide students with the tools for rigorous and thorough theoretical and empirical analysis. Theories of rational and social choice, game theory, bayesian learning models are as much a part of this module as advanced quantitative methods, including multivariate analysis (OLS) and maximum likelihood estimation.