Master in Social Data Science (2 year)

Master in Social Data Science (2 year) is one of 15 English-taught Data Science programmes at master’s level in the register, offered by 13 institutions. 12 of them list an annual fee for students from outside the EU, EEA and Switzerland, from EUR 727 to EUR 1,453. 8 are at a public university, where EU, EEA and Swiss students pay no tuition within the standard duration plus two semesters.

The program offers advanced training in three ways: via a methodological training in Data Science, students will learn the core and advanced mathematical, statistical and computational tools to collect, curate, manage, and analyze massive datasets of human actions and interactions. At the same time, working across disciplines they will obtain an overall view on the application landscape of these methods in various social science disciplines and in-depth knowledge about disciplinary questions closest to their personal interest. Students will be confronted with state-of-the-art opportunities and challenges of Big Data technologies, which will help them to develop a reflexive and critical thinking about such technologies and their role in shaping human behavior and social phenomena.

Program accredited in the United States and in Austria

There is no central application portal in Austria: you apply to the institution, here Central European University. Private institutions set their own application periods, admission procedures and fees, so read them on the programme page. Entrance examination, as the register states it: Admission procedure. Entry requirements and language tests are set by the institution, so start from the official programme page. Our guides cover tuition fees, the student residence permit and housing.