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University of Vienna Master Programs

The University of Vienna offers several master programs, including Master - Business Analytics, Master - Data Science, and Master - Digital Humanities.

Master - Business Analytics

Admission - Business Analytics

The application period for the academic year 2026/27 is open from 2 March until 7 April 2026.

• The admission procedure involves a formal check by the Admission Office, followed by a review and evaluation by a committee of faculty members.
• The committee creates a rank-ordered list based on the qualifications and backgrounds of the applicants.
• There are 40 places available each academic year.

Studying - Business Analytics

• The program is taught in English entirely, and applicants need to provide proof of English proficiency at least at level B2.
• The program starts with basic programming in Python, and students with a business background and some interest in programming are the main target group.
• Students can choose a minor under Business Analytics and have the chance to take a single course from another minor.

Master - Data Science

• The program is a joint venture of several faculties, including Business, Economics and Statistics, Computer Science, Historical and Cultural Studies, Mathematics, and Philological and Cultural Studies.
• The program is administered by the Faculty of Business, Economics and Statistics.

Admission Criteria

• There is no minimum grade point average (GPA) required for admission.
• The motivational letter (statement of purpose) is a crucial part of the application, and applicants are expected to use the provided templates.
• The application is free of charge, and there are no specific certificates or exams required, but any relevant experience or skills will be taken into account.
• Applicants can apply for both Business Analytics and Data Science programs, but they need to clearly state their motivation for each program and prioritize one if necessary.

Research Areas

• The programs are tied to the Research Network Data Science, and students have the opportunity to pursue research in depth on their specialization areas.
• The university does not provide statistics on career paths after graduation, but there are chances to cooperate with companies during formats such as the Data Science Project.

FAQs

• The program does not expect high programming skills, and basic programming in Python is taught from the beginning.
• Students with a non-business background can still apply, but their suitability and motivation will be evaluated.
• The application fee is free of charge, and there are no systematic internships available, but students can participate in projects and cooperate with companies.
• Graduates of the program can pursue a PhD, but there is no automatic admission, and they need to find a supervisor among the faculty members.