Applied Image and Signal Processing
| Award | Attendance | Study | Duration | Start | Domestic fees | International fees |
|---|---|---|---|---|---|---|
| Master Degree | On-Campus | Full-time | 2 - years | find out | €363 per semester | find out |
tuition fee at least € 363,- per semester (up to double amount for NON-EU countries) + Euro 21.20 student union fee per semester
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
Entry requirements for this course
Contact FH Salzburg (Salzburg University of Applied Sciences) to find course entry requirements.
View all courses at FH Salzburg (Salzburg University of Applied Sciences)
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