Applied Image and Signal Processing 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

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.