Visual Computing
The Master of Science in Visual Computing is a highly regarded international graduate program offered by Saarland University. Designed for students seeking to advance their expertise in computer vision, graphics, and image processing, this flexible full-time or part-time degree combines academic depth with state-of-the-art technological training. Students gain hands-on experience in mathematics, computer science, modelling, and imaging, preparing them for advanced roles in research, industry, and innovation-driven fields. The program is structured across four semesters and admits students in both the winter and summer semesters.
Located in Saarbrücken, one of Germany’s central hubs for cutting-edge computer science research, this master’s program emphasizes both scientific excellence and technical innovation. With a strong focus on practical training and interdisciplinary projects, students not only develop advanced computational skills but also benefit from collaboration with renowned research institutes. The course reflects Germany’s reputation for combining academic quality with professional relevance, making it an excellent choice for those aiming to specialize in visual computing for global technological and scientific markets.
Key information
Key Facts
- Degree: Master of Science (M.Sc.)
- Standard period of study: 4 semesters
- Location: Saarbrücken
- Study type: Graduate (full-time or part-time, international)
- Admission semester: Summer and Winter Semester
- Area of study: Computer Science
- Admission modus: Without admission restriction
- Main language: English
Program Structure
Semester 1 – Foundations of Visual Computing
- Mathematical Foundations for Visual Computing
- Introduction to Image Processing
- Computer Graphics Principles
- Algorithms & Data Structures for Visual Data
Semester 2 – Advanced Computational Techniques
- Image Analysis & Computer Vision
- 3D Modelling and Simulation
- Machine Learning for Visual Applications
- Collaborative Project I
Semester 3 – Specialization & Research Practice
- Advanced Imaging & Rendering
- Scientific Visualization
- Applied Geometry & Modelling
- Collaborative Project II (research-oriented or industry-partnered)
Semester 4 – Master’s Thesis
- Independent Research Thesis
- Final Presentation & Portfolio Development
Career Opportunities
Graduates of the Visual Computing program enter a wide range of advanced technical and research-based professions, including roles in computer vision engineering, 3D modelling, scientific visualization, software development, and AI-driven imaging technologies. The program’s strong academic environment and proximity to leading research institutes provide excellent opportunities for students to collaborate with industry partners and pursue careers in both academia and the technology sector.
Why Choose This Program
Choosing the Master of Science in Visual Computing means accessing a research-rich environment supported by Saarland University’s world-class computer science institutions. Students benefit from a curriculum that integrates theoretical foundations with practical training across imaging, modelling, and computational analysis.
With its strong international orientation, flexible study formats, and cutting-edge research facilities, the program equips students with the technical expertise and innovation-driven mindset needed to excel in a rapidly evolving digital world. Graduates emerge prepared to contribute to major advances in visual computing, AI, and data-driven technologies.
Contact Information
Student Advisory Service
Zentrale Studienberatung
Campus
66123 Saarbrücken
Tel: +49 681 302-3513
Fax: +49 681 302-4526
Email: studienberatung@uni-saarland.de
Programme Contact
Studienfachberatung
Campus Saarbrücken, Geb. E1 1, Zi 3.11
66123 Saarbrücken
Tel: +49 681 302-58092
Email: master@cs.uni-saarland.de
Contacts: Dr. Rahel Stoike-Sy, Barbara Schulz-Brünken
International Office
Service-Zentrum Internationales (SZI)
Campus A4 4
66123 Saarbrücken
Tel: +49 681 302-71100
Fax: +49 681 302-71101
Email: international@io.uni-saarland.de
