Hardfacts
Studienbereich ISCED-F
- 05 Naturwissenschaften, Mathematik und Statistik
- 0541 Mathematik
- 06 Informatik & Kommunikationstechnologie
- 0612 Datenbanken, Netzwerkdesign und -administration
- 0613 Software- und Applikationsentwicklung und -analyse
- 07 Ingenieurwesen, verarbeitendes Gewerbe und Baugewerbe
- 071 Ingenieurwesen und technische Berufe
Beschreibung
Whether it’s smartphones, imaging devices or autonomously driving cars, all of them are powered by algorithms and signal processing concepts. That’s why image and signal processing is playing an increasingly important role in the information age, offering creative possibilities to solve the challenges of Big Data. The joint master programme of Salzburg University of Applied Sciences and Paris Lodron University of Salzburg provides you with the professional tools to shape the future of IT, business and society.
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:
- mathematical models and algorithms
- geometric modelling
- audio processing
- digital media formats
- IT project management skills
Studieninhalt
Modules and elective courses
The master programme for Applied Image and Signal Processing provides you with a high degree of specialisation. You can choose one compulsory elective course from each of the two universities and define additional free electives with a total sum of 6 ECTS.
Good to know: While it is recommended to choose a third elective course as your free elective, any lecture held in English at either of the two universities qualifies as a free elective.
As part of your degree specialisation, you can choose from the following elective courses at two universities:
Salzburg University of Applied Sciences:
- Natural Language Processing
- Reinforcement Learning
Paris Lodron University of Salzburg:
- Medical Imaging
- Biometric Systems
- Media Security
- Computational Geometry
- Machine Learning
Studienaufbau
You can find the detailed curriculum of the master programme Applied Image and Signal Processing here:
Curriculum | Applied Image and Signal Processing (Joint Master) | FH Salzburg (fh-salzburg.ac.at)
Berufsfelder
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.
Einstiegsvoraussetzungen
Einstiegsvoraussetzungen für Master-Studien
Alles, was du wissen musst, um in Österreich ein Master-Studium zu beginnen.
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.