- The interdisciplinarily structured master's degree in data science combines content from computer science, mathematics, information systems, and the natural sciences.
- Core courses provide students with an overarching understanding of machine learning and deep learning, statistical data analysis, data assimilation, business analytics, and big data infrastructures. More specialized courses help you engage with the current state of research for the areas of your choosing.
- In seminars, students will work through complex topics, and in the module on applied data science, they will apply, in practice, the competencies they have acquired.
- In the research module, students will be connected to a research project at the University of Potsdam or one of Potsdam's many research institutions.