Overview

Recently, data-driven methods have also found their way into various parts of the natural sciences and humanities. The task of data science is to gain knowledge from ever bigger volumes of data, which represents added value for the respective area. This requires not only the development of efficient algorithms, but also a basic understanding of the interpretability and reliability of results. A diverse and interdisciplinary competence profile is required, which particularly includes the practical handling of large amounts of data, a solid mathematical and statistical foundation as well as knowledge in the respective area of application. In addition, the rapid developments in data science raise ethical and legal questions. 

Careers with Data Science

Graduates of the Master of Science in Data Science at the University of Vienna receive a sound and broad education in core modules, including algorithmic, mathematical and statistical foundations, the handling of large amounts of data as well as explorative data analysis. Additionally, graduates are familiarised with ethical and legal aspects.

They gain in-depth knowledge in concrete fields of application, e.g. from humanities, language processing, finance, medicine, physics, or computational science.