Study plan and curriculum
The curriculum for the Bachelor of Science (BSc) in Mathematical Foundations of Data Science was approved by the academic senate of the University of Vienna on March 27, 2025. It was published in Volume 18 of the Mitteilungsblatt of the University of Vienna during the academic year 2024/2025, on April 4, 2025. As a legally binding document in the sense of Austrian university law (UG02) and the statutes of the University of Vienna, it is in German.
The curriculum comes into force on October 1, 2025.
Study-program number (Studienkennzahl): UA XXX XXX will follow
Legal framework: Austrian University Law (Universitätsgesetz 2002) and the articles of the University of Vienna (der studienrechtliche Teil der Satzung der Universität Wien) in their current form.
Curriculum MSc Mathematik (2025, full text in German, English translation included) will follow
- Duration: 6 semesters, 180 ECTS
- Language of instruction: English
Year 1
| Semester 1 | Semester 2 |
|---|---|
Introduction to Mathematics in Data Science (StEOP) | Algorithms and Data Structures |
| Introduction to Linear Algebra | Linear Algebra in Data Science |
Introduction to Analysis | Analysis in Data Science |
Year 2
| Semester 3 | Semester 4 |
|---|---|
| Tools for Data Science | Modelling in Data Science |
| Optimisation and Numerical Algorithms | Foundations of Machine Learning |
| Introduction to Probability Theory | Statistics |
Year 3
| Semester 5 | Semester 6 |
|---|---|
Data Analysis | Data Science Seminar (project-based) |
| Ethics in Data Science | Elective courses |
| Applied elective courses |