30 April 2023 at midnight
Non-EU applicants are advised to apply as early as possible, allowing for some delay to complete the visa process.
The study programme is a fully-fledged computer science Master's programme that conveys specific expertise in key areas of computer science including theoretical foundations, practical skills and knowledge about application areas. This includes the areas of software engineering, information systems, databases, knowledge-based systems, communication and security, algorithms and programming.
Students must select the study focus Visual Computing or Embedded Systems. As part of this study focus, embedded systems and visual computing students gain in-depth knowledge and can choose from a wide-ranging catalogue of modules. In addition, students acquire non-technical skills ranging from presentation techniques and team work to management and leadership skills.
(1) Visual Computing Study Focus
The term visual computing comprises all computer science disciplines handling images and 3D models, i.e., computer vision, computer graphics, image processing, machine learning, visualisation and virtual and augmented reality. Visual computing systems deal with one or more of the following aspects: acquisition, processing and analysis of visual information, e.g., in the form of images and videos, but also originating from medical image acquisition technologies, and rendering of visual information, e.g., the generation of images from visual or other data. Application areas include but are not restricted to quality control, medical image processing and visualisation, autonomous robotics, multimedia systems, film and television industries and computer games.
(2) Embedded Systems Study Focus
The variety and number of embedded systems have grown significantly during the last years. This segment has become by far the most important one in the computer market with applications such as consumer electronics, industrial control and transportation systems. Transportation systems such as automotive electronics are of particular interest, because of stringent timing and dependability requirements that act as technology catalysts. The embedded systems market is expected to grow significantly over the next decade, and it is expected that many embedded systems will be connected to the Internet and form cyber-physical systems.
In both study foci, students benefit from the close collaboration between electrical engineering and computer science and a tight link to research projects conducted in both disciplines at the University of Siegen. For embedded systems, both disciplines contribute to courses on the specific knowledge including key areas such as hardware/software design, computer architectures, real-time systems, dependability, security, operating systems, modelling and application areas (e.g., automotive, industrial control). In the context of visual computing, the tight link to sensor development is an essential added value, including key areas like face detection, online range data processing with range cameras such as the Kinect, and multimodal pattern recognition.
The University of Siegen participates and leads research projects in healthcare, automotive, industrial control, avionics and home automation. Master's students are welcome to become involved in these projects (e.g., Master's thesis, student projects), and excellent students get the opportunity to pursue a PhD in one of these projects in Siegen.