International Programmes 2021/2022

Master of Science in Computer Science Master of Science in Computer Science

University of Siegen • Siegen

Degree
Master of Science
Teaching language
  • English
Languages

English

Programme duration
4 semesters
Beginning
Winter semester
More information on beginning of studies

Semester starts on 1 October

Application deadline

17 April 2022 at midnight
Non-EU applicants are advised to apply as early as possible, allowing for some delay to complete the visa process.

Tuition fees per semester in EUR
None
Combined Master's degree / PhD programme
No
Joint degree / double degree programme
No
Description/content

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.

Course organisation

The Master's programme Computer Science at the University of Siegen includes different types of modules.

Core modules convey a broad spectrum of relevant topics for computer science including theoretical, practical and technical computer science. Practical modules convey basic practical skills such as capabilities in software and hardware development as well as practical activities that are close to future occupational areas. The practical modules establish key qualifications that are required for team work in typical projects of the information technology industry.

Specialised modules convey profound scientific knowledge in the area of embedded systems or visual computing. Specialised modules can be chosen out of a comprehensive catalogue of modules. The specialised modules build on top of the core modules and focus on expertise in an area that is typically the foundation for the student projects and the Master's thesis.

The programme is structured as follows:

1. Four out of seven core modules (6 CP each): Embedded Systems, Computer Architecture, Modeling and Animation, Parallel Processing, Algorithms, Advanced Logic, Knowledge-based Systems and Cognitive Science

2. Practical and research oriented modules: Cutting Edge Research (6 CP), Scientific Working (including seminar, 9 CP), project work (15 CP)

3. Six specialised modules (6 CP each)

4. Master's thesis (30 CP)

For the study focus embedded systems, specialised modules are offered in several areas such as networked embedded systems, microelectronics, semiconductor technology, security, artificial intelligence, ubiquitous systems and real-time systems. Courses for networked embedded systems encompass modules about distributed systems, communication engineering and telematics. Students can also explore the development of embedded systems using FPGAs and state-of-the-art Systems-on-a-Chip (SoC). Another highlight of the programme includes courses in the area of small embedded computing units as part of ubiquitous systems that are equipped with basic processing and sensing modules, thus enabling them to detect, monitor, react on, and learn phenomena around them. Furthermore, knowledge in the area of artificial intelligence and deep learning will be conveyed, which can be deployed in embedded systems as part of student projects and Master's theses.

The main specialisation areas within the study focus visual computing are computer vision, computer graphics and machine learning. While these three sub-topics are highly interlinked, the Master's degree offers specific courses related to them. Computer vision involves theoretical and algorithmic approaches to autonomously understand image and video data, presented in courses such as machine vision and convex optimisation for computer vision. Computer graphics comprises methods for the generation of images from digital representations, including the generation and simulation of and the interaction with virtual environments, studied in courses like rendering, GPU programming, scientific visualisation and virtual reality. In the machine learning course, methods are developed to "train" computers to perform a specific task on the basis of sample solutions without being explicitly programmed on how to solve it. Statistic learning theory, deep learning, and recent advances in machine learning are related courses.

Course-specific, integrated German language courses
No
Course-specific, integrated English language courses
No
The course of study can be taken entirely online
No
Digital learning and teaching modules
  • Moodle
Description of e-learning elements

Moodle teaching platform

Participation in the e-learning course elements is compulsory
No
Can ECTS points be acquired by taking the online programmes?
No
Can the e-learning elements be taken without signing up for the course of study?
No
Tuition fees per semester in EUR
None
Semester contribution

Students pay a semester fee of approx. 275 EUR for a public transport ticket (valid for six months in the entire state of North Rhine-Westphalia) as well as a social services contribution and student activities.

Costs of living

The city of Siegen is one of the German cities with very moderate costs for accommodation, offering attractive living conditions. Living expenses including accommodation and health insurance range from only 600 EUR to 750 EUR per month, depending on personnel living preferences. Students can choose to apply for the dormitories or to look for off-campus housing that is privately owned.

Funding opportunities within the university
Yes
Description of the above-mentioned funding opportunities within the university

Students at the University of Siegen can apply for the “Deutschlandstipendium / Studienförderfonds”, which can cover part of the students' cost of living. Scholarships for Master's and doctoral students are available at the House of Young Talents of the University of Siegen.

Academic admission 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.

Language requirements

English language proficiency certificate: TOEFL iBT: min. 88 or IELTS: Band 6.5
The TOEFL code number for the University of Siegen is 8429.

Application deadline

17 April 2022 at midnight
Non-EU applicants are advised to apply as early as possible, allowing for some delay to complete the visa process.

Submit application to

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

Possibility of finding part-time employment

Students can easily find part-time jobs with the help of the the job placement service of the university. Siegen and the surrounding area are home to a large number of medium-sized industrial enterprises (SMEs), or so-called hidden champions in electrical and mechanical engineering. Some bigger examples include the companies SMS and Achenbach Buschhütten. A lot of smaller but very successful and quickly growing high-tech companies are located here as well, for instance, PMD Technologies and Asentics, which are spin-off companies of the university. As a result, employment opportunities are very good, especially for jobs during the semester breaks and after graduation.

Accommodation

There are student residences (dormitories) of the Studierendenwerk (student services) close to the university. The rent for a room is between 230 and 300 EUR. Please be aware that German universities do not usually have campus systems like universities in some other countries where all students can find accommodation directly on the university property. Therefore, some students might have to find rooms on their own. The private accommodation costs per room are 300 EUR on average. Detailed information concerning general accommodation can be found here.
Early application/search is advisable.

Career advisory service

The Career Service of the University of Siegen offers all students a wide range of workshops and coaching on job search.
In addition, the SieguVer programme offers supportive and networking measures to prepare international students and doctoral candidates in particular for entering the local job market.
Through offers from the Alumniverbund, students also receive important tips and contacts from former students.

Specific specialist or non-specialist support for international students and doctoral candidates
  • Specialist counselling

University of Siegen

University location