Why study Social and Economic Data Science in Konstanz?
The digitalization of various domains of society has produced an abundance of data about human behaviour and social interactions. Inside and outside academia, specialists with a solid background in computer science and statistics, as well as social science methods are needed to extract value from these data to inform decision-making. Upon graduation from our MSc programme in Social and Economic Data Science, you'll be one of those specialists.
What does studying and living in Konstanz feel like? What makes Konstanz special?
What do we offer?
The programme's broad methodological and substantive scope prepares you for a rapidly growing job market for data scientists in industry, government, NGOs, and academia. Our university is part of Germany's Excellence Initiative, meaning we are one of 11 leading research universities in Germany. The departments involved in our interdisciplinary MSc programme offer plenty of opportunities for student exchanges, internships and collaborations with ongoing research projects. Read more about study abroad as a SEDS student.
What will I learn?
The interdisciplinary Master's programme provides you with the knowledge and skills necessary to collect, manage and analyse diverse data sources created from administrative processes, network logs, social media, surveys, or experiments. It puts a heavy emphasis on foundational issues including problems of measurement, representation and causal inference which are often overlooked in current big data analytics.
The modular structure of the programme covers methodological, mathematical, computational and statistical foundations of data science, advanced computational and statistical methods, programming and scripting, and applications to questions of crucial interest in economics, political science, psychology, and sociology.
Is it for me?
The MSc in Social and Economic Data Science is tailored for students with a background in the behavioural and social sciences, and a proven interest in quantitative and computational methods. Your Bachelor's degree should be in
- Political Science
- or a related degree
You are welcome to apply if you are in the final year of your Bachelor's programme, but have not yet graduated.