Visual Computing (Master of Science)
(Visual Computing, M.Sc.)
|Degree: Master of Science|
|Duration: 4 semesters|
|Language: German (individual courses in English)|
|Internship: not required|
|Requirements for Admission: Requirements for admission to the Master’s degree programme (and thereby university enrolment) are comprised of a Bachelor of Science degree in the field of Computer Science or an equivalent degree. If applicants of other specialist disciplines have sufficient basic knowledge, they may also be admitted (subject to further provisions if applicable). Admission to the Master’s Degree programme may also depend on additional requirements. Specific degree entrance requirements may be found here and in the competences description. For further questions please contact the departmental student advisory service. Please also note the general information on the Master of Science degree programme, including information for students with degrees from abroad: International Admission.|
|Admission Procedure: As long as the requirements for admission (suitability test) are fulfilled, there is no restriction on admission.|
|Part-time Studies: possible under specific conditions|
|Programme Start: winter semester or summer semester|
|Application Deadline: International applicants find their application deadline here.|
|Special Features: —|
The Master of Science programme Visual Computing deepens the skills and knowledge acquired in the Bachelor’s degree programme about the systematical processing of information, in particular in the field of digital images and visual models. This specialised Master's degree programme focuses on the creation, processing and analysis of digital images where the entire range from capturing the image to gaining visual models from images to the synthesis of realistic images from models is covered. In the course of the studies, the topics of Computer Graphics, Computer Vision and Machine Learning, the increasing linkage and synthesis capacities of the aforementioned areas (Integrated Methods) as well as the concrete applications of vision and graphics can be studied more in depth within the elective subject areas.
The programme caters to the students’ personal preferences by offering numerous electives and areas of specialisation. The students have the possibility to complete a part of the programme at a University abroad.
The Master of Science programme Visual Computing is divided as follows into a mandatory subject area and five elective subject areas.
The Mandatory Subject Area contains the courses “Graphic Data Processing I and II” introducing the elective subject area of Computer Graphics, as well as the modules “Computer Vision” and “Statistical Machine Learning” which serve as an introduction to their respective elective subject areas.
Elective Subject Area: Computer Graphics deals with the fundamentals of the subject within the classic core area of computer graphics. Here, the students may choose from several courses.
Elective Subject Area: Computer Vision and Machine Learning deals with the processing, analysis and comprehension of digital images as well as the use of machine learning methods. This classic core area teaches the fundamentals of the subject.
Elective Subject Area: Integrated Methods of Vision and Graphics contains the thematic aspects of the continuing linkage of graphics and vision in one single field (Visual Computing) promising special synergy effects.
Elective Subject Area: Applications offers diverse opportunities to create links to other branches of Computer Science such as the fields of simulation, bioinformatics, medical engineering or robotics. Courses from the fields of psychology, mathematics, mechanical engineering or electrical engineering and information technology may be selected.
Elective Subject Area: Accompanying Achievements gives the students a choice of seminars, internships, project internships, teaching internships, projects or research papers in the different fields of Computer Graphics and Computer Vision.
As the last area, the Master’s Thesis concludes the programme. The independent research project takes an entire semester, thereby forming a major part of the Master’s degree programme.
Modulhandbuch (Module Handbook)
Vorlesungsverzeichnis (Course Catalogue)
Fachbereich Informatik (Computer Science)
Advice for Prospective M.Sc. Students
While a Bachelor’s degree focuses mainly on the fundamentals of the field, the Master’s degree serves to upgrade the qualifications of graduates and to analyse the subject based on research. The Master’s degree focuses more than the Bachelor’s degree on enabling and requiring students to adopt their own major focus.
For these reasons it is recommended that students complete a Master’s degree.
Related Degree Programmes
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|Computational Engineering (M.Sc.)|
|Distributed Software Systems (M.Sc.)|
|Computer Science (LaG) (Informatik, Lehramt an Gymnasien)|
|Computer Science (M.Ed.) (Informatik, M.Ed.)|
|Computer Science (M.Sc.) (Informatik, M.Sc.)|
|Information Systems Technology (M.Sc.) (informationssystemtechnik, M.Sc.)|
|Internet and Web-based Systems (M.Sc.) (Internet- und Webbasierte Systeme, M.Sc.)|
|IT Security (M.Sc.) (IT SIcherheit, M.Sc.)|
|Psychology in IT (M.Sc.) (Psychologie in IT, M.Sc.)|
|Sports Science and Computer Science (M.Sc.) (Sportwissenschaft und Informatik, M.Sc.)|
|Business Informatics (M.Sc.) (Wirtschaftsinformatik, M.Sc.)|
Upon successful completion of a Master of Science degree, there is the opportunity to begin working towards a Ph.D. either at the TU Darmstadt or at another national or international university. Further information on doctoral studies at TU Darmstadt:
Ingenium – Young Researchers at TU Darmstadt (umbrella organisation for promoting early career researchers)
Today, Computer Science plays an increasingly important role in research and development as operational procedures can no longer be developed and optimised without software solutions. As a result, the opportunities for computer scientists on the labor market are promising: the demand for them is rising. While most of them are in regular employment, there is also a number of self-employed computer scientists. They will find employment in companies of nearly all industries, in public administration and in research. There, they develop, programme and modify hard and software programmes, in particular in connection with complex information, communication and control systems.
Graduates of the special Master’s degree programme of the computer science branch of Visual Computing can expect a diverse and extensive labor market. There are prospects in various areas of industry, business and research. Computer scientists for vision and graphics visualise, for instance, 2D and 3D models from digital data for medical engineering, the automotive industry and other branches of industrial production as well as the media industry. The design of hardware-related software systems is applied in autonomous systems operations. Processing visual information also plays an important role for virtual engineering (e.g. for CAD systems). Additionally, the TU Darmstadt and the department of Informatics is in close contact with the Fraunhofer Institute for Computer Graphics Resarch (IGD), one of the world’s leading institutes for applied research in the field of Visual Computing.
For this reason it is important to start early in the degree programme to gain practical work experience in relevant organisations. In this way students can promote themselves as competent professionals in practice and make important professional contacts. The likelihood of finding a good position is definitely heightened if the student is flexible when it comes to commuting or even moving abroad. Good English language skills are particularly important when it comes to the international job market.
TU Darmstadt's offer of Job Shadowing is a quick and simple method of career orientation by accompanying professionally experienced TU Darmstadt alumni for one day.
Further information about career opportunities on the German job market may be found on the following websites:
Fachbereich Graphische Datenverarbeitung (GDV) der Gesellschaft für Informatik (GI) (Computer Graphics Department (GVI) of the German Informatics Society (GI))
Fraunhofer-Institut für Graphische Datenverarbeitung (IGD) (Fraunhofer Institute for Computer Graphics Research (IGD))