University of Applied Sciences Upper Austria Master's degree in Data Science & Engineering
University of Applied Sciences Upper Austria

University of Applied Sciences Upper Austria

Master's degree in Data Science & Engineering

Hagenberg, Austria

MSc

6 semesters

German

Full time

30 Jun 2026

Oct 2026

EUR 363 / per semester *

On-Campus

* zuzüglich des ÖH beitrags für studierende aus EU- und EWR-staaten | für studierende aus drittstaaten: 726,72 € pro semester

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Key Summary

    About : The Master's degree in Data Science & Engineering prepares students with essential skills for data-driven decision-making. This program covers topics like machine learning, data mining, and big data technologies. Students engage in practical projects that enhance their understanding of real-world data challenges. The curriculum is designed to be completed in two years, providing a comprehensive education for aspiring data professionals.
    Career Outcomes : Graduates can pursue various roles in tech and data-driven industries. Potential career paths include data analyst, data engineer, machine learning engineer, and data scientist. These positions are in high demand, offering opportunities to work in diverse sectors such as finance, healthcare, and technology.

Data analysis for business, technology, biology and medicine

Being able to extract relevant information from huge amounts of data is more important than ever today. This affects a wide range of areas of our society, industry, finance, and biomedical research: we are dealing with unmanageable and rapidly growing data everywhere. Data scientists have to filter out the crucial information from these data volumes and prepare it in a way that is generally understandable. In the Master's program in Data Science and Engineering students learn how to process this data, gain knowledge from it, and statistically evaluate and visualize this information. This enables them to draw valuable conclusions from it and generate new knowledge.

Wichtige Fakten

The career opportunities for graduates of this course are diverse. Data scientists are sought after wherever large amounts of data are generated and/or need to be evaluated.
Their interdisciplinary training makes them sought-after specialists in industry, trade, production, finance, medicine and pharmaceutical research, among others.


They are experts in the areas of data analysis and data mining, in dealing with cloud and cluster systems and in the mathematical evaluation of data, including methods of
artificial intelligence. In addition, they are able to visualize and process the results and the discovered relationships and often work in management positions in companies and research institutions.

  • Organisationsform: Vollzeit
  • Akademischer Abschluss: Master of Science in Engineering (MSc)
  • Aufnahmeverfahren:Bewerbungsgespräch
  • Kosten: Informationen zu Studiengebühren und ÖH Beitrag
  • Studiendauer: 4 Semester
  • Sprache: Deutsch
  • ECTS: 120
Read more on the institution's website