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All questions concerning the subject/degree:Applied Economics and Data Science - Master's Programme
Orientation and Goals
The design and evaluation of government interventions in markets to ensure that they function properly or to achieve societal goals has always been a cornerstone of economics. A classic example, which is currently the subject of controversial public debate, is the use of market regulation to protect the environment, for example through the introduction of taxes or the expansion of certificate trading to reduce CO2 emissions. There are many more examples in areas such as development policy, foreign trade, the housing market and financial markets.
In all of these fields, the evaluation of interventions requires huge amounts of data and a combination of modern empirical methods, such as econometric estimates, simulation techniques and Big Data processing and analysis methods.
This degree programme, which is at the crossroads between economics and computer science, acknowledges the fact that empirical methods for analysing data in both disciplines are becoming increasingly similar. Due to the ever-growing data sets used to analyse economic issues, methods for analysing Big Data are increasingly finding their way into economics.
The Master’s degree programme in Applied Economics and Data Science combines the fields of economics and computer science. In this degree programme, students acquire in-depth knowledge of theoretical concepts and empirical findings on government regulation and in-depth methodological knowledge of modern analytical procedures for empirical data. They learn how to prepare, analyse and interpret large data sets.
The emphasis of this programme is on learning, applying and critically questioning methods and concepts used in current research to analyse and solve economic issues using empirical data.
This Master’s degree programme in Applied Economics and Data Science is a research-oriented programme in which students are systematically introduced to the current state of research and in which they conduct a self-designed research project. After graduation, students are in a strong position to make their own contribution to research.