Visual Computing (MSc) at Saarland University

About

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). Saarland University was the first place in Germany where one can study in such an integrated Master's programme. It has an excellent research reputation both in computer science and mathematics. It has a tradition of teaching all Master's courses in English, and a significant percentage of its Master's students are from abroad. It is supported by the departments of Mathematics, Mechatronics, and Physics and Computational Linguistics as well as by the Max Planck Institute for Informatics, the Max Planck Institutes Software Systems, the Fraunhofer Institute for Biomedical Engineering, the Fraunhofer Institute for Nondestructive Testing, and the German Research Center for Artificial Intelligence. This provides a unique environment for first class studies and research in visual computing. 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

Requirements

Entry Requirements

Bachelor's degree in computer science, mathematics, physics, electrical engineering, mechatronics, or a related field, with a grade of at least 75%; completed online application form including the following: CV purpose of study transcript of records two references from professors or employers English certificate GRE is recommended but not mandatory