Data Science and Engineering Master's Degree Programmes, full-time

In-depth know-how in software development & data science for biomedical research

In 2022, the world was generating over 100 trillion gigabytes of data per day. And by 2027 forecasts say this figure could exceed 280 trillion gigabytes per year. This veritable flood of data harbours invaluable know-how that is just waiting to be accessed. Structuring the information, identifying patterns and applying the findings in a fast, efficient way is crucial for decision-making in a multitude of sectors ranging from biomedical research to finance and manufacturing. The curriculum of this Master's degree focuses on various areas in data analytics and computer science, including statistical methods, machine learning, data mining and visualisation. Students also acquire expertise in their chosen pathway: biomedical data analytics or data analytics for marketing and production.

Note for applicants: The main language of tuition on this study programme is German, although some modules may be offered in English.

Essential Information

Master of Science in Engineering (MSc)

4 semesters (120 ECTS)

Annual intake:

Mode of study:

Admission requirements:
Completion of at least a 6 semester specialised relevant Bachelor’s degree, or comparable higher education at university level.
Good proficiency in German. 

Apply by 30 June at the latest ( Admission subject to study place availability. Apply early to secure your place!

Main language of tuition:

Tuition fees:
Information about tuition fees and ÖH contribution


Head of Studies:
FH-Prof. PD DI Dr. Stephan Winkler

Academic Coordinator:
FH-Prof. MMag. Dr. Gerald Lirk

Programme Administration:
Cordula Mitterbauer

University of Applied Sciences Upper Austria
School of Informatics, Communications and Media
Softwarepark 11
4232 Hagenberg/Austria
Phone: +43 5 0804 22700