Master of Science in Computer Science at University of Siegen

About

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. As part of a selectable study focus, embedded systems and visual computing students gain in-depth knowledge and can chose from a wide-ranging catalogue of modules. In addition, students acquire non-technical skills ranging from presentation techniques, 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, virtual and augmented reality. Further related fields are pattern recognition, human computer interaction and machine learning. 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.

Requirements

Entry Requirements

Bachelor's degree in computer science or electrical engineering The minimum grade of the Bachelor's degree is "satisfactory" (3.0). The responsible board of examiners will make the decision on the equivalence of degrees acquired at other higher education institutions or in other degree courses and on the suitability for the Master's programme.

How to Apply

http://www.master-cs.eti.uni-siegen.de/

Master of Science in Computer Science

University of Siegen

University of Siegen

Key Facts

Start & Deadlines