Our master’s programme Data Science gives you the skills to unlock the power of data to understand the world, uncover patterns, and drive decisions. You will learn to collect, process, analyse, and visualise data—mastering everything from anomaly detection and complex system modeling to trend forecasting and machine learning. Turn complexity into clarity with every step. This master’s programme combines technical depth with the power to turn data into action, and provides you with the knowledge and skills to launch a successful career in both academia and the private sector.

Degree programme codeUE 066 645 - Master's Programme Data Science 
Related Master's programmesMaster's Programmes in Informatics, opens an external URL in a new window 
Duration4 semesters 
Credits120 ECTS 
Language of instructionEnglish 
DegreeDipl.-Ing. (internationally comparable with "Master of Science") 
Module structureData Science, opens an external URL in a new window 
Key Facts and Related Master's Programmes 

Programme Structure

Full details about structure and content of the program are available in the curriculum, opens an external URL in a new window (PDF) and in the list of courses, opens an external URL in a new window in TISS.

Grafische Darstellung des Curriculums Data Science

The first semester is dedicated to getting around the foundations of Data Science with the modules Fundamentals of Data Science, Machine Learning and Statistics, Big Data and High Performance Computing, and Visual Analytics and Semantic Technologies.

Over the course of the second and third semesters, you’ll be able to deepen your knowledge in two or more key areas with core and extension modules that build directly on the foundational modules. The core and extension modules are complemented by the module Domain-Specific Aspects of Data Science, where you’ll explore the diverse data science needs of other disciplines.

The focus in the fourth semester lies on developing and writing up your master’s thesis.

Throughout your studies, a well-balanced set of open electives and extension courses deepen your knowledge of core competencies in Data Science and allow you to explore interdisciplinary areas, apply data-driven concepts in broader contexts, and develop valuable secondary skills.

Further Information

Admission to the Master’s programme in ‘Data Science’ is possible after completing an eligible Bachelor’s degree at an accredited national or international post-secondary educational institution. In particular, a degree programme is considered eligible if it covers the following subjects from the Bachelor’s programme in “Business Informatics”: algorithms and data structures, an introduction to programming, algebra, calculus, statistics and probability theory. To compensate for fundamental subject-specific differences between your previous education and the level of qualifications expected at TU Wien, supplementary examinations totalling a maximum of 30 ECTS credits may be required. 

For example, the following Bachelor's programmes at TU Wien are considered eligible for admission without supplementary examinations:

as well as

  • Informatics (Uni Vienna, TU Graz, JKU Linz, Uni Innsbruck, Uni Salzburg)
  • Business Informatics (Uni Wien, JKU Linz, Uni Klagenfurt)
  • Software Engineering and Management (TU Graz)
  • Applied Informatics (Uni Klagenfurt)

You can find the general admission requirements on the page Admission to Master’s Programmes.

Today’s most pressing challenges - from healthcare to sustainability - depend on data-driven insights to make informed decisions and solve wicked problems. You will learn how to build and evaluate statistical and machine learning models, design efficient data infrastructures, and communicate your findings clearly to drive meaningful outcomes. With a master’s degree in Data Science, you have a bright career ahead of you - not only in terms of salaries but also by shaping how we can make sense of the world with data.

At TU Wien, you can undertake one of the following doctoral programmes after completing your Master’s degree:

  • 796 700 – Doctoral Programme in Engineering
  • 796 600 – Doctoral Programme in Natural Sciences
  • 796 300 – Doctoral Programme in Social and Economic Sciences