Applied Image and Signal Processing

Masterstudium

Campus Urstein

Letztes Update: 30.07.2018
BEREICH:
Ingenieurswissenschaft
DAUER: 4 Semester
ECTS:
120
ABSCHLUSS: Master of Sciences in Engineering (MSc)
TYP:
Präsenzstudium
ANWESENHEIT:
Vollzeit
STUDIENGEBÜHR: gesetzl. Studiengebühr (363,30€ pro Semester)
DETAILS: http://www.fh-salzburg.ac...

Über das Studium:

Image and signal processing affect our daily lives in an ever-increasing way. Participate in designing this fascinating technology and shape IT‘s future function in business and society.

Today‘s 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.

Fächer:

Diesen Fächern begegnest du u.a. im Studienplan:

Data Mining, Digital Signal Processing, Hardware Oriented Signal Processing, Hardware Oriented Signal Processing, IT-Projektmanagement, Medical Imaging, Pattern Recognition, Signals and Systems, Softwareprojekte, Statistik

Studienaufbau:

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.

Einstiegsvoraussetzungen:

Completion of a relevant Bachelor's programme in the field of informatics or mathematics or another technical degree programme at a recognized Austrian or foreign post-secondary institution. To be considered relevant, the completed programme has to meet the following criteria:

The programme compromises at least 180 ECTS credit points (corresponds to three academic years) including:

  • core area informatics by a minimum number of 18 ECTS credit points or semester-long courses of at least 12 contact hours per week (e.g. high level programming language, object oriented programming, procedural programming languages, algorithms and data structures, Mathematica/Matlab)
  • core area mathematics by a minimum number of 12 ECTS credit points or semester-long courses of at least 9 contact hours per week (e.g. foundations of calculus / analysis and linear algebra).


Adequate English proficiency is assumed, ideally (but not necessarily) documented through  a certificate (e.g. TOEFL) and will be assessed in an individual interview.


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