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4 semesters
Full time
Master's degree
On campus
01 October 2021
Application deadline: Period I: 15/03 | Period II: 15/05 | Period III: 15/07 | Period IV:: 30/09
Virtual open day
Information sessions
Virtual open day
Open House
Virtual open day
Credit ©FH Kärnten / Hofmann

Program description

Systems Design MSc

Systems Design is an engineering program that offers a wide, advanced theory based education for designing systems. Systems Design graduates are able to understand, develop, and modify complex technical systems in the fields of Electronics and Mechatronics. Their skills include the designing and implementing of complex technical systems with special regards to a holistic design in an earlier phase of planning and conceptualizing. The focus of the degree programme is the training of self-dependent engineers who have special knowledge in areas such as Embedded Systems, Electronics, Mechatronics, IT or Control Engineering.

With Data Science being a core competence of Systems Design graduates, the Master program prepares students for a successful and powerful career in engineering as well as for a track in academics and research. Graduates work as planning, development, system, plant and production engineers as well as in management and leading positions. Skilled Systems Designers are in high demand of an industry that offers a wide variety of occupational areas.

Admission requirements

Students of the School of Engineering & IT should demonstrate strengths in the following areas:

  • Technical understanding,
  • Reasoning power,
  • Good English, mathematics and computer skills,
  • Creativity,
  • Enjoyment of innovative developments.

Please note that applicants from non-EU countries or applicants living outside the European Union should apply as soon as possible to be in time for the visa procedure.

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Program content

Semester 1

  • Scientific English
  • Data Science Experimental Lab
  • Advanced Mathematics
  • Control Systems 1
  • Control Systems Lab 1
  • System Theory
  • Signal Analysis Lab
  • Computer Engineering
  • Nonlinear Systems

Semester 2

  • Data Science Analysis Lab
  • Applied Statistics
  • Applied Signal Processing
  • DAQ and Transmission
  • Modern Sensor Applications
  • Sensor Models

Control Systems

  • Control Systems Lab 2
  • Control Systems 2
  • Process Identification
  • Mechanical Principles

Embedded Systems

  • Peripheral Interfacing
  • Partial Differential Equations
  • Field Numerics
  • Electromagnetic Fields
  • Microcontroller Special Topics
  • Filter Design

Mechatronic Systems

  • Numerical Methods Basics
  • Computational Physics
  • Finite Elements
  • Mechanical Principles
  • Physics (Selected Topics)

Remote Systems

  • Internet Technologies
  • Digital Image Processing
  • Remote Applications  and Trends
  • Databases and Networks
  • Design of Electronic Documents
  • Human Machine Interfaces

Sensor Systems

  • Data Evaluation
  • Sensor Networks
  • Process Analytical Technology
  • Filter Design
  • Physics (Selected Topics)

Semester 3

Control Systems

  • Control Systems Special Topics 1
  • Computational Aspects of CSD
  • Computer Process Control
  • Control Systems Special Topics 2
  • Dynamic Models and Simulation
  • Embedded Control Systems Special Topics
  • Motion Control
  • Drive Control
  • Robot Dynamics
  • Robot Control
  • Robotics Lab
  • Nonlinear Control Systems

Embedded Systems

  • Embedded Software Systems
  • DSP Applications
  • High-Speed Board Design
  • PCB Simulation
  • RF Measurements
  • Discrete and Integrated Power Electronics
  • Real-Time Systems Special Topics
  • Wireless Communication Principles
  • Advanced Communication Systems
  • Digital Design

Mechatronic Systems

  • Heat Flow Analysis
  • Computer Fluid Dynamic
  • Mechatronic Systems Design
  • Mechatronics Special Topics
  • Embedded Control Systems Special Topics
  • Motion Control
  • Drive Control
  • Robot Dynamics
  • Robot Control
  • Robotics Lab
  • Nonlinear Control Systems

Remote Systems

  • Graphical Programming
  • Virtual and Remote Labs
  • Remote Technologies  Lab
  • Soft Computing Control Techniques
  • Soft Computing Control Lab
  • Research Seminar
  • Project Work
  • Wireless Communication Principles
  • Advanced Communication Systems
  • Digital Design

Sensor Systems

  • Advanced Process Control
  • Sensor Data Fusion
  • Sensor Implementation
  • Chemical Sensors
  • Mechanical, Electrical and Thermical Sensors
  • Optical Sensors
  • Applied Image Processing
  • Optical Sensors Systems Design
  • Reliability and Security of Sensor Systems
  • Packaging of Sensors
  • System Optimization

Spatial Technology Management

  • Technology Management
  • Product and Service Development

Semester 4

  • Master Thesis 
  • Master Thesis Seminar
  • Master Exam

Tuition fees

Price per semester is EUR 363.36 plus Austrian Student Union Fee EUR 20.20.


Master of Science in Engineering (MSc)

Key learning outcomes

Graduates of Systems Design MSc are able to:

  • Demonstrate a deeper knowledge of mathematics, computer science, systems theory, modeling and simulation and control technology
  • Draft, design and implement complete and complex systems
  • Think system-oriented
  • Apply system-oriented methods

Specialist field of embedded systems

  • Analyze, construct, establish and put into operation complex real-time systems in all components such as bus systems and microcontrollers
  • Construct and simulate EMC-friendly circuit boards for high clock frequencies
  • Analyze and evaluate the development of integrated circuits

Specialist field of remote systems

  • Analyze and evaluate applications for remote systems
  • Analyze and apply data bases and networks
  • Remotely operate, regulate and maintain mechatronic systems

Specialist field of control systems

  • Master basic methods of linear and nonlinear control systems
  • Determine motion sequences and their associated drive requirements
  • Analyse and integrate robots in complex environments and demanding workflows

Specialist field of mechatronic systems

  • Control numerical procedures of essential methods
  • Detect mutual dependencies of individual components of a system
  • Integrate industrial robots in complex environments and demanding workflows

Continuing studies

The successful completion of the master program in turn qualifies the graduate to undertake a doctorate according to § 6 FHStG (4) FHStG stands for Fachhochschul Studies Act).

Career opportunities

Graduates of the Systems Design Master Degree have an in depth understanding of complex technical systems in the fields of electronics and mechatronics. With this Master Degree program graduates gain expertise in the analysis, design and control of complex multidisciplinary systems and processes.

The following list of branches gives a brief overview about the possible fields of employment:

  • Industrial electronics and automation
  • Communications and computer technology
  • Microelectronics
  • Mechatronics
  • Transport and vehicle technology
  • Aerospace technology
  • Consumer electronics and domestic appliances
  • Machine and plant construction
  • Medical and environmental technology building automation

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About this institute

Carinthia University of Applied Sciences

The Carinthia University of Applied Sciences is an internationally oriented university that cooperates with more than 160 institutions of higher education worldwide. Open-minded and without borders, the CUAS is located in Austria at the intersection of three cultures in the...

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Contact info

Carinthia University of Applied Sciences

CUAS Campus Villach
Europastraße 4
9524 Villach

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