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Fachhochschule Salzburg University of Applied Sciences Master in Engineering - Applied Image and Signal Processing
Fachhochschule Salzburg University of Applied Sciences

Master in Engineering - Applied Image and Signal Processing

Salzburg, Oostenrijk

4 Semesters

Engels

Full time

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EUR 363 / per semester *

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* up to double amount for non-EU countries. + student union fee

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Image and signal processing affect our daily lives in an ever-increasing way. Participate in designing this fascinating technology and shape its future function in business and society using AI-empowered algorithms and methodology. Today‘s networked devices for image and signal generation provide a historically unmatched volume of raw data for automated decision-making and control systems. The master program Applied Image and Signal Processing enables you to design and implement professional data-driven solutions in a range of exciting application areas.

Degree awarded: Master of Science in Engineering (MSc)Length of study: 4 semesters (2 years)Study mode: full-time
Study places per year: 20Location: Salzburg University of Applied Sciences (Campus Urstein) and University of Salzburg (Campus Techno-Z)Language: English
Tuition: tuition fee at least € 363,- per semester (up to double the amount for non-EU countries) + student union fee  

Why study Applied Image and Signal Processing at Salzburg University of Applied Sciences?

Based on prior bachelor studies, the joint master's program for Applied Image and Signal Processing offers you thorough technical training at the cutting edge of research. With an unprecedented amount of raw data being generated by networked devices for image and signal generation, it has become vital to develop new tools and software programs to distil useful information.

This master's program prepares you with an advanced ability for modeling, problem-solving and optimization. It familiarises you with formal and methodical basics as well as with diverse fields of application. Highly research-oriented courses and small groups provide an appropriate setting for creating innovative approaches and creative ideas.

Among other topics, you will learn about:

  • artificial intelligence
  • mathematical models and algorithms
  • geometric modeling
  • audio processing
  • digital media formats
  • IT project management skills

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