Data Science

The interdisciplinary field of data science deals with methods for using data to automatically produce knowledge, insights, and models for prognosis, risk, and action. The Master's degree programme, which is taught in English, connects machine learning, statistical data analysis, natural scientific methods of data assimilation, and business analytics. The programme offers broad and interdisciplinary structured training in methods and is characterised by a strong emphasis on practice and research. This Master's degree combines content from computer science, mathematics, information systems, and the natural sciences. Core courses provide you with an overarching understanding of machine learning and deep learning, statistical data analysis, data assimilation, business analytics, and big data infrastructures. More specialised courses help you engage with the current state of research for the areas of your choosing. In seminars, you will work through complex topics. In the module of applied data science, you will apply in practice the competences you have acquired. In the research module, you will be connected to a research project at the University of Potsdam or one of Potsdam's many research institutions. An industry internship is also possible as an option. Berlin and Potsdam's lively start-up scene and many big data companies offer ample opportunities for internships.