Data Science (Master)

The master’s programme in Data Science aims at providing a practically oriented and scientifically sound education in the field of modern data science. Data science is an essential driving force in today’s digital world. In almost all areas of the economy, large amounts of data are collected and generated. 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. The master’s programme in Data Science at the University of Vienna extensively reflects all these core competencies and puts an emphasis on the interdisciplinary and heterogeneous character of Data Science, which is ensured by means of a specialisation in individual areas.

The degree programme requires knowledge of English language at level B2 (Common European Framework of Reference for Languages).

Further information on the degree programme is available here

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Study Programme

The study programme consists of the compulsory module groups "Mathematical and Statistical foundations, Optimisation Methods, Machine Learning, Scalable Algorithms, Visual Data Analysis", "Doing Data Science", "Ethical and Legal Issues", "Specialisation in Areas of Data Science" and "Master’s thesis". In the module “Specialisation”, students can specialise in individual areas due to the multifaceted range of courses offered, e.g. in principles of Mathematics, Computer Science and Statistics or in various fields of application ranging from the Natural Sciences to Economics and from the Social Sciences to the Humanities. In order to complete the degree programme, students have to write a master’s thesis and pass a master’s examination.

As the degree programme is instructed in English, a proof of knowledge of English language at level B2 (Common European Framework of Reference for Languages) is required.

Focus on interdisciplinarity

The degree programmes Business Analytics, Data Science and Digital Humanities were designed together. Students of all three degree programmes complete the same course contents to the extent of one semester. The offered courses and the various disciplinary locations of students allow for a very broad interdisciplinary exchange.