Data Science Bielefeld University

Overview

The students are trained interdisciplinary: classical statistical methods, programming, database systems and methods of machine learning form the methodological framework. This is supplemented by practical courses, e.g. in the areas of statistical consulting and business analytics, research-related events such as a research colloquium and courses dealing with ethical, legal and social impacts.

Structure

Current information on the Master's programme in Data Sciences from Bielefeld University can also be found on the university's information pages. There you will find the subject specific regulations (here in English) and the courses offered in the eKVV under the heading 'Navigation'. Further information can be found in the module list.

The four-semester Master's programme can only be taken up in the winter semester. It is divided into a socket phase and a profile phase. Due to the interdisciplinary orientation of the course of studies and the associated, differently acquired first university degrees of the students, the socket phase is composed of differently oriented introductory modules. Under certain conditions, credit points can be earned for internships. The students write their master thesis on a topic in the field of data science. Graduates are awarded the title of Master of Science (M.Sc.).