Master's degree in Robotic Systems Engineering
Wels, Austria
DURATION
4 Semesters
LANGUAGES
German
PACE
Full time
APPLICATION DEADLINE
30 Jun 2025
EARLIEST START DATE
Oct 2025
TUITION FEES
EUR 363 / per semester *
STUDY FORMAT
On-Campus
* plus the ÖH contribution for students from EU and EEA countries | for students from third countries: €726.72 per semester
Introduction
The future is within reach
Robotics has become an indispensable part of the current production world and is also leading to disruptive developments and enormous advances in other sectors such as agriculture or medical technology. But robotics is only half the story. In order to develop an intelligent system, not only the machine itself but also the latest sensor technology and a great deal of information technology are required.
The master's program "Robotic Systems Engineering " offers optimal training in the areas of the latest software algorithms and technologies for implementing complex automation tasks with robots. Holistic Engineering approaches are taught that digitally support people, machines, software and hardware from the initial idea to ongoing operation.
Important facts
The graduates will work in key positions in companies in the mechanical and plant engineering sectors, automobile manufacturers and suppliers, and generally in integrators of robotic systems and autonomous vehicles. Furthermore, numerous special machine manufacturers and engineering offices as well as research institutes are also in focus as future employers. The fields of activity cover a wide range of areas of modern robotics and information technology.
- Organisational form: part-time
- Academic degree: Graduate engineer for technical and scientific professions (DI*in or Dipl.-Ing.*in)
- Admission procedure: consultation and admission interview
- Costs: Information on tuition fees and ÖH contribution
- Duration of study: 4 semesters
- Language: German
- ECTS: 120
Admissions
Curriculum
Themen
- Kollaborative Robotertechnik
- Industrielle Softwareentwicklung
- 3D-Lokalisierung und Sensorfusion
- Machine Learning & Machine Vision
- Autonome Robotersysteme
- Digital Factory & Systems Engineering
Praxis und Forschung im Studium
Praxisnähe in Lehre und Forschung wird an der FH groß geschrieben. Die Lehrenden des Studiengangs arbeiten neben ihrer Lehrtätigkeit allesamt an facheinschlägigen Industrie- und Forschungsprojekten mit und bringen so neueste Technologien in die Lehrveranstaltungen mit ein. Das dritte und vierte Semester steht ganz im Zeichen eines praxisorientierten Masterprojekts und der dazugehörigen Masterarbeit. Diese erarbeiten die Studierenden im Rahmen ihres bestehenden Beschäftigungsverhältnisses im Unternehmen.
Raus Aus Der Theorie
Praxisnähe in Lehre und Forschung wird an der FH groß geschrieben. Die Lehrenden des Studiengangs arbeiten neben Ihrer Lehrtätigkeit allesamt in facheinschlägigen Industrie- und Forschungsprojekten mit und bringen so neueste Technologien in die Lehrveranstaltungen mit ein. Das dritte und vierte Semester steht ganz im Zeichen eines praxisorientierten Masterprojekts und der dazugehörigen Masterarbeit. Diese erarbeiten die Studierenden im Rahmen ihres bestehenden Beschäftigungsverhältnisses im Unternehmen.
Program Tuition Fee
Career Opportunities
The graduates will work in companies in the mechanical and plant engineering sectors, automobile manufacturers and suppliers, as well as general integrators of robotic systems and autonomous vehicles. Furthermore, numerous special machine manufacturers and engineering offices, as well as research institutes are also in focus as a later field of application. The students of the master's program acquire in-depth knowledge in the field of system development with robots and autonomous vehicles. The skills cover all areas of modern robotics and computer science. These include the design and dimensioning of robot systems for the production of a wide variety of products, the design of human-robot workplaces taking into account technological and work psychology aspects, as well as the dimensioning of sensor-actuator systems for complex handling and transport tasks and robotic assistance systems.
Student Testimonials
Program delivery
Organisationsform:
- Part-time day-time
- Courses only THURSDAY+FRIDAY all day
- 1 block week at the beginning of the semester
Program Admission Requirements
Show your commitment and readiness for Grad school by taking the GRE - the most broadly accepted exam for graduate programs internationally.