Master in Statistics

The University of Vienna, established in 1365, is one of Europe’s oldest and most comprehensive research universities, enrolling around 44,665 students with an international community of roughly 15,871. With nearly a century and a half of academic traditions and broad disciplinary breadth across humanities, natural sciences, social sciences and law, the university combines historic campus life with modern research infrastructure. Its program portfolio spans numerous undergraduate and graduate pathways, attracting scholars interested in rigorous scholarship and a multicultural study environment.

Research and teaching at the University of Vienna are characterized by strong academic freedom, interdisciplinary collaboration and significant international engagement. The institution’s profile includes numerous internationally recognized scholars and a record of high-impact publications. Academic programs emphasize critical thinking, research training and language diversity, and international students can access a range of support services and English-language options alongside German-taught courses.

Studying in Vienna offers cultural richness, extensive public transport and proximity to Europe’s academic and professional networks. The university supports career development through research assistantships, internships and partnerships with regional institutions. For prospective international students seeking a deeply historic yet research-intensive European university, the University of Vienna combines scholarly prestige, diverse study options and vibrant city life to support academic and professional ambitions.

The Master in Statistics at the University of Vienna is a master's degree for students who want to learn about statistical methods and analysis. It takes one year to complete and is taught in German. The program provides students with a strong foundation in statistics, stochastics, and decision support.

The curriculum includes courses on statistical theory, mathematical statistics, and quantitative finance. Students learn to analyze data, develop models, and make predictions. They also gain hands-on experience with statistical software and learn to communicate complex results to non-technical audiences.

Graduates can work as Data Analysts, Statisticians, Risk Managers, or Biostatisticians in fields like finance, healthcare, or government. They can also work in research institutions, applying their statistical knowledge to solve real-world problems and advance scientific knowledge.