Bachelor in Statistics and Data Analytics

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 Bachelor in Statistics and Data Analytics at the University of Vienna is a degree program for students who want to learn about statistics and data analysis. It takes several years to complete and is taught in German. The program helps students prepare for careers in data science and statistics.

The curriculum includes subjects like introductory statistics, probability calculation, linear algebra, and inferential statistics. Students also learn about software and computational statistics, econometrics, and time series analysis. The program has a strong focus on mathematical statistics and data analysis.

Graduates of this program can work as data analysts, statistical consultants, biostatisticians, or data scientists. They can find jobs in research institutions, government agencies, or private companies. With this degree, students can also work in finance or healthcare, applying statistical methods to real-world problems.