Program Overview

Introduction to the BSc Mathematical Foundations of Data Science Program

The University of Vienna's Faculty of Mathematics offers a Bachelor of Science program in Mathematical Foundations of Data Science. This English-taught program starts in October 2025 and provides students with a solid foundation in mathematics, statistics, and programming, as well as interdisciplinary skills to become leading data-driven problem solvers.

Program Overview

• The program prepares graduates for leading roles in data science, machine learning, and quantitative research, as well as for advanced academic degrees in related fields.
• Deadline for application is June 3rd.
• An aptitude test is compulsory, scheduled for August 22nd, with registration required by June 3rd.

Why Choose the University of Vienna?

• Join a legacy of excellence at the Faculty of Mathematics, part of one of Europe's most dynamic mathematical communities with over 300 faculty members.
• The University of Vienna, founded in 1365, has a rich history of academic excellence, including 17 Nobel Prize winners, with the most recent being physics laureate Anton Zeilinger in 2022.
• Study in Vienna, consistently ranked as the world's most livable city, and receive a world-class education in an international academic environment that combines historical tradition with cutting-edge research.

Program Details

Program at a Glance

• Bachelor of Science (BSc)
• Duration: 6 semesters, 180 ECTS
• Language of instruction: English
• Start date: October 1, 2025
• Offered by: Faculty of Mathematics, University of Vienna
• Tuition: No fees for 8 semesters for EU/EEA/Swiss citizens; a nominal fee applies to others

Studies

• The BSc Mathematical Foundations of Data Science program focuses on providing a comprehensive education in mathematics, statistics, and programming, with an emphasis on interdisciplinary skills.

Additional Information

• Study plan and curriculum
• Admission requirements
• Information on fees
• Study Service Center

This program is designed to equip students with the knowledge and skills necessary to succeed in the field of data science, providing a strong foundation for future careers or advanced academic pursuits.