Studium Applied Image and Signal Processing an der FH Salzburg

Applied Image and Signal Processing

Abschluss: Master of Science (M. Sc.)
Umfang: 4 Semesters, 120 ECTS Punkte
Studienart: Präsenzstudium, Vollzeit
Bildungsfeld: Engineering, Technik & IT
Unterrichtssprache: English
Kosten: tuition fee at least € 363,- per semester (up to double amount for NON-EU countries) + Euro 21.20 student union fee per semester
Website: www.fh-salzburg.ac.at

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

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

What you should know about the Applied Image and Signal Processing master programme

State of the Art Methodology

The master programme for Applied Image and Signal Processing provides you with a high degree of specialisation. The first year is devoted to a concise study of the theoretical foundations, the mathematical models and the algorithms used in image and signal processing. Those are complemented by an introduction to data science and machine learning, statistics, audio processing, digital media formats, and, in the third semester, computer vision and geometric modelling.

Choose your Elective Courses

Starting with the second year, specific application scenarios are discussed and corresponding technologies are investigated in a number of elective courses. Choose two such courses and complement those by free electives with a total sum of 6 ECTS in the 3rd or 4th semester.

Good to know: While it is recommended to take a third course from the electives, other lectures given in English on one of the two universities also qualify as free electives.

Develop your own Ideas

In the third semester, you also start researching on your master thesis. You will acquire profound skills in scientific research and paper writing as well as in agile project management. The fourth semester, finally, is dedicated to the completion of the master thesis. The accompanying master seminar provides a forum for presenting and defending one‘s approach to a solution and the results obtained, i.e. for scientific discourse with faculty and peers.

Electives

As part of your degree specialisation, you can choose from the following elective courses at two universities:

Salzburg University of Applied Sciences	Paris Lodron University of Salzburg
Natural Language Processing Reinforcement Learning	Medical Imaging Biometric Systems Media Security Computational Geometry Machine Learning

Salzburg University of Applied Sciences

Paris Lodron University of Salzburg

Natural Language Processing
Reinforcement Learning

Medical Imaging
Biometric Systems
Media Security
Computational Geometry
Machine Learning

Studying abroad

With English as the language of instruction, the master programme has a highly international outlook. To complement your studies in Austria, you can choose to do a semester abroad at one of our numerous partner universities in the fourth semester.

Career prospects

This master programme is designed to provide you with an in-depth professional and scientific training based on research driven teaching. The sound knowledge and skills acquired qualify the alumni for diverse practical challenges in their professional work and empower them to contribute to future innovations in image and signal processing based on artificial intelligence. A lot of interesting research and development projects in the private and the public sectors are calling for your expertise. Alternatively, this degree will open up career tracks in universities and research labs by qualifying for applying to PhD programmes.