| Application deadline: | August 31 |
| Tuition fee: |
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| Start date: | September 2013 |
| Credits: | 120 ECTS |
| Duration full-time: | 24 months |
| Partnership: | Joint |
| Languages: |
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| Location: |
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| Disciplines: | |
| Delivery mode: | On Campus |
| Educational variant: | Part-time |
IMAGINE THE POSSIBLITIES....
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.
Todays networked image and signal generating devices provide
a historically unmatched volume of raw data for automated decision
making and control systems. The expectations are high:
how can we design new tools and software in order to best distil
useful information.
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 career tracks in Universities and
research centers.
FROM THEORY TO PRACTICE
The first semester is devoted to a concise study of the theoretical
background, the mathematical models and the algorithms
used in image and signal processing. The second semester additionally
focuses on geometric modelling, audio processing and
other media. Starting with the third semester, specific application
scenarios are discussed and corresponding technologies are investigated.
CHOOSE YOUR ELECTIVE COURSES
These comprise medical imaging, hardware oriented signal processing,
biometric systems, media security and advanced remote
sensing.
APPLY YOUR SCIENTIFIC KNOWLEDGE
Students start research on their master thesis and acquire
profound IT-project management skills. The fourth semester is
dedicated to the completion of the master thesis. An accompanying
master seminar provides the opportunity for scientific
discourse by presenting and defending the different approaches
and results.
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FACTS
Programme Type: Fulltime
Duration: 4 Semesters (2 Years)
Degree: Master of Science in Engineering (MSc)
Places/Year: 20
Costs: 363 Euro per Semester + ÖH-Fees
Academic Leaders: FH-Prof. Univ. Doz. Dr. Stefan Wegenkittl, FH Salzburg; Univ. Prof. Dr. Andreas Uhl, University of Salzburg
Study Locations:
University of Salzburg
Department of Computer Science
Jakob-Haringerstr. 2, 5020 Salzburg
Austria
University of Applied Sciences Salzburg
Department of Information Technology & Systems Management
Urstein Süd 1, 5412 Puch / Salzburg
Austria
Link: fh-salzburg.ac.at/ais
A completed bachelors or diploma programme in the field of
informatics or mathematics or related to those, three year´s minimum
duration, including core areas informatics and mathematics
by a minimum number of 18 and 12 ECTS credit points or 12 and
9 contact hours per week, respectively.
You are normally required to take an English Proficiency Test.
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