Applied Research and Innovation in Computer Science*

Master degree programme

  • Degree:
    Master of Science in Engineering (MSc)
  • Duration:
    4 semesters
  • Language:
    English
  • Organisational form:
    full-time / dual
  • Study places/year:
    12
  • Tuition fee:
    EUR 363.26 + student union fee
  • Application deadline:
    30.06.2019
  • Infodates:
    Apr 25, 2019 Details
    May 21, 2019 Details
  • Admission dates:
    09.04.2019 and 23.05.2019 in the afternoon, 28. and 29.06.2019 in the morning
  • Beginning of the programme:
    September
  • Head of the development team:
    Priv.Doz. Mag. Dipl.-Ing. Dr. Edgar Weippl
  • *
    Subject to accreditation by AQ Austria

At the Interface between Industry and Research

There is a great demand for specialists who are able to successfully combine innovative computer science research and its practical application.

The conception and implementation of research projects, the identification of research and innovation opportunities in companies, and the promotion of exchange between industry and research are only a few of the potential fields of work for graduates of the programme.

The future-oriented dual master degree programme provides students with the ideal conditions for a challenging activity at the interface between industry and research. 

Dual Learning

A special benefit for the students is the combination of a theoretical education and practical research. The high scientific level in teaching coupled with participation in research projects at companies, universities of applied sciences and other universities, present students with excellent opportunities for development. 

Research projects

Modern infrastructure

Linguistic competence

Research in the Computer Science & Security Department

Research in the field of computer science and digitalisation is a top priority of the St. Pölten UAS which enjoys an excellent reputation at the national and international levels, particularly when it comes to the areas of Cyber Security & IT Security and Data Analytics & Visual Computing.

You want to know more? Feel free to ask!

Campus and Study Center

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