Social Data Science (2 year)

This study programme is only available in German. --> 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.

General Austria requirements for this degree level. The institution must confirm the final programme checklist.

• A completed qualification appropriate for Master's Degree.
• Academic transcripts and any programme-specific assessment requested by the institution.
• Final requirements must be confirmed for the applicant's education system and intake.

Confirm the accepted English-language evidence with the institution for the selected intake.

Preparation checklist; final document rules and certified translations are confirmed during application review.

This programme is recorded as accredited in the central catalogue.