- Degree
- Master of Science (MSc)
- Course location
- Saarbrücken
- In cooperation with
- • Max Planck Institute for Informatics
• German Research Center for Artificial Intelligence
• Fraunhofer Institute for Biomedical Engineering IBMT
• Fraunhofer Institute for Nondestructive Testing
- Teaching language
- • English
- Languages
- The programme can be studied entirely in English. When living in Germany, it is useful to learn some German, e.g. in language classes offered by the university. You can even use up to 6 CP from language classes within our Master's programme. Moreover, some non-compulsory classes in the Master's programme are offered in German, mainly in the supplementary areas such as physics. Thus, knowing some German broadens your range of selection possibilities even further.
- Programme duration
- 4 semesters
- Beginning
- Winter and summer semester
- Application deadline
- International applications are very welcome. Application deadlines are as follows:
• For any winter semester starting in October: 15 May
• For any summer semester starting in April: 15 November
- Tuition fees per semester in EUR
- None
- Combined Master's degree / PhD programme
- No
- Joint degree / double degree programme
- No
- Description/content
- The Visual Computing Master's programme is coordinated by the Department of Computer Science at Saarland University, one of the four best computer science departments in Germany (CHE ranking).
Visual imagery is the most important sensory information for humans. More and more information is represented by digital images and visual simulations. The entire field of acquiring, analysing, and synthesising visual data by means of computers is called visual computing.
Due to its interdisciplinary nature, the full spectrum of visual computing cannot be addressed adequately within a traditional, mono-disciplinary programme of study. This has prompted Saarland University to offer a novel interdisciplinary Master's programme that is entirely devoted to all aspects of visual computing. It includes classes and seminars on:
• image acquisition and geometric foundations
• image analysis (image processing, computer vision, pattern recognition)
• image synthesis (computer graphics, scientific visualisation, geometric modelling)
• related fields such as telecommunications, machine learning, artificial intelligence, signal processing, computational linguistics, medical engineering, and cognitive sciences
• useful foundations in mathematics, computer science, physics, and mechatronics