Applied Image and Signal Processing - Joint Degree

Masterstudium

mit Zugangsbeschränkung

Letztes Update: 10.04.2019
Bereich: Informatik & Kommunikationstechnologie 163
Umfang 4 Semester / 120 ECTS
Studienplätze: 20 / Jahr
Sprache:
Englisch
Abschluss: „Master of Science in Engineering“, abgekürzt „MSc“
Studientyp:
Präsenzstudium
Anwesenheit:
Vollzeit
Kosten: gesetzl. Studiengebühr (363,30€ pro Semester)
Website: https://www.uni-salzburg....

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:

Audio Processing, Biometric Systems, Computational Geometry, Computer Science, Computer Vision, Data Mining, Digital Signal Processing, Filterbanks and Wavelets, Geometric Modelling, Hardware Oriented Signal Processing, IT-Projectmanagement, Image processing, Mathematics, Media Data Formats, Media Security, Medical Imaging, Pattern Recognition, Remote Sensing and Object-Based Image Analysis, Signals and Systems, Softwareprojects, Statistics

Qualifikationsprofil:

This Joint Degree Master's programme broadens and extends the students' knowledge and provides preliminary scientific training for the profession. It builds on a relevant Bachelor's degree and offers detailed specialised training based on research-oriented teaching. Courses cover introductory and advanced topics from fields such as image and signal processing, as well as their formal and methodological foundations combined with numerous areas of application. The knowledge and skills acquired provide our graduates with flexible access to jobs and encourage innovations in the area of image and signal processing. Writing a Master's thesis serves to prove that the student is qualified to work independently on academic topics based on a correct methodology, thereby laying the ground for further PhD study. In this way, the qualifications for further scientific research are met. In particular, graduates are able to autonomously solve complex problems by applying and developing further image and signal processing systems. This programme explicitely refers to questions of ethics and sustainability (see the corresponding recommendation in § 7(2)) and implicitly also addresses gender questions in order to raise awareness of the role gender plays in research and development of image and signal processing systems, whilst creating a forum in which to explore different approaches to software and hardware by different users. The following learning outcomes will be reached when completing the programme:  

  • Students are able to understand the fundamental theoretical concepts of image and signal processing. 
  • Students have knowledge about state-of-the-art algorithms, tools, and software libraries in image and signal processing. 
  • Students are skilled in solving real-world as well as research oriented problems by applying appropriate hard- and software systems in image and signal processing
  • Students are aware of a set of current application fields of image and signal processing and are able to conduct application oriented software projects in those fields. 
  • Students are able to read and understand scientific publications in the area of image and signal processing and are capable to implement algorithms which map the publications in working software prototypes.
  • Students are able to systematically test and evaluate image and signal processing related applications and are able to write documentation according to commonly accepted scientific working principles. 

Berufsaussichten / Jobs:

Image and signal processing systems are an integral part of a huge variety of IT-systems, ranging from autonomously driving cars, surveillance systems, medical imaging, vision-based quality control in production, to personalised systems like consumer cameras and smartphones with many corresponding apps. Therefore, graduates will be highly welcome in a wide range of companies in the IT-field. 

Graduates of the master’s programme in Applied Image and Signal Processing are expected to often pursue careers in the following fields in particular: 

  • Industry Research and Development (hard- and software development for image and signal processing systems)
  • Software development including image and signal processing aspects
  • Academic careers in image and signal processing
  • Project management and project lead in image and signal processing related fields
  • Consulting and training lead in image and signal processing related fields 

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.

Relevante Meldungen:


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