Applied Image and Signal Processing, Master Degree, at FH Salzburg (Salzburg University of Applied Sciences)

Applied Image and Signal Processing, Master Degree, FH Salzburg (Salzburg University of Applied Sciences)

Austria

FH Salzburg (Salzburg University of Applied Sciences)

Study options for this course

The award	How you will study	Study duration	Course start	Domestic course fees	International course fees
Master Degree	Full-time	2 years	find out	EUR 363 per semester	find out

About Applied Image and Signal Processing, Master Degree - at FH Salzburg (Salzburg University of Applied Sciences)

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 programme Applied Image and Signal Processing enables you to design and implement professional data driven solutions in a range of exciting application areas.

Based on prior bachelor studies, the joint master programme 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 programmes to distil useful information.

This master programme prepares you with an advanced ability for modelling, problem solving and optimisation. 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 modelling
audio processing
digital media formats
IT project management skills

Notes about fees for this course

tuition fee at least € 363,- per semester (up to double amount for NON-EU countries) + Euro 21.20 student union fee per semester

Entry requirements

Completion of a relevant Bachelor programme in the field of Informatics, Computer Science, Mathematics, Mechatronics, Mechanical Engineering, Electronics, Automation Engineering, Media Informatics, Computational Engineering or another technical degree programme at a recognised Austrian or foreign post-secondary institution.

To be considered relevant, the completed programme has to compromise at least 180 ECTS credit points (corresponds to three academic years) and has to meet the following criteria:

Core area Informatics: Proficiency in a procedural programming language, application and implementation of classical algorithms and data structures (lists, sorting), as well as use of libraries (mathematics, input/output)
Core area Mathematics: Basics of one-dimensional real and complex-valued analysis, basics of algebra (especially: matrices, solving systems of equations), probability calculus and descriptive statistics including correlation & regression analysis.
Core area Signal Processing: Basics of signal processing (time domain, frequency domain, Fourier series, Laplace and Z-transform, convolution, sampling, Linear Time Invariant Systems)

Adequate English proficiency is assumed, ideally (but not necessarily) documented through a certificate (e.g. TOEFL) and will be assessed in an individual interview.

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Applied Image and Signal Processing, Master Degree, FH Salzburg (Salzburg University of Applied Sciences)

Study options for this course

About Applied Image and Signal Processing, Master Degree - at FH Salzburg (Salzburg University of Applied Sciences)

Notes about fees for this course

Entry requirements

Courses you may be interested in at other institutions

Postgraduate pathways and pre-masters at other institutions

Other courses at FH Salzburg (Salzburg University of Applied Sciences)

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