Program Overview
The Visual Computing at Saarland University is a MSc programme in Humanities over 24 months, delivered On-campus. This programme equips graduates with advanced knowledge and practical skills for professional and academic careers in the field.
Students gain a rigorous grounding in both the theoretical foundations and applied dimensions of humanities. The programme combines coursework, research components, and practical projects that develop critical thinking, problem-solving, and specialist expertise relevant to industry and research needs.
Graduates of the Visual Computing programme are well-prepared for careers in academia, industry, government, and the private sector across Germany and internationally. The programme provides an internationally recognised qualification within the Bologna higher education framework.
Key Program Features
- Duration: 24 months
- Language of instruction: English
- Study mode: On-campus
- Tuition: EUR 182 (Tuition (Year)) — International students; EUR 182 (Tuition (Year)) — EU/EEA students
- Location: Saarbrücken, Germany
Career Opportunities
Graduates of the Visual Computing programme are prepared for diverse careers in humanities:
- Researcher / Academic
- Cultural Programme Manager
- Editor / Writer
- Translator / Interpreter
- Museum Curator
- Communications Specialist
Program Curriculum
Course Structure
- Introduction to Image Acquisition Methods, 4 CP (V2)
- Medical Imaging, 9 CP (V4 Ã2, Mathematics)
- Imaging Techniques: Sonography and X-ray Imaging 4 CP (V2, medical engineering, annual)
- Imaging Methods: MRI, 5 CP (V2 Ã1, medical engineering, annual)
- Geometric Modelling, 9 CP (V4 Ã2) (at least every two years)
- Effective Computational Geometry for Curves and Surfaces, 6 CP (V4)
- Image Processing and Computer Vision, 9 CP (V4 Ã2) (at least every two years)
- Pattern and Speech Recognition, 6 CP (V2 Ã2) (Mechatronics, at least every two years)
- Pattern Recognition, 5 CP (V2 Ã1)
- Differential Equations in Image Processing and Computer Vision, 9 CP (V4 Ã2)
- Differential Geometric Aspects of Image Processing, 4 CP (V2)
- Probabilistic Methods in Image Processing, 4 CP (V2)
- Mathematical Morphology in Image Analysis, 4 CP (V2)
- 3D Image Analysis and Synthesis, 6 CP (V2 Ã2)
- Computer Graphics, 9 CP (V4 Ã2) (at least every two years)
- Computer Graphics 2, 9 CP (V4 Ã2)
- Scientific Visualization, 9 CP (V4 Ã2) (at least every two years)
- Multimedia, 6 CP (V2 Ã2)
- 3D Image Analysis and Synthesis, 6 CP (V2 Ã2)
Admission Requirements
Academic Requirements
In order to be admitted to the programme, students must have received a Bachelor\'s degree or equivalent qualification from a German or foreign university in the field of Visual Computing or a related field (particularly informatics, computer science, mathematics, physics, electrical engineering or mechatronics) or proof of equivalent academic achievement.
Specifically, they must also provide the following information and/or documents:
- Proof of previous academic qualifications (school and higher education)
- A dossier or a qualified letter of reference that demonstrates the student\'s particular interest in the M.Sc. programme
- Details about relevant work/study periods abroad and relevant work experience or internships
- Proof of advanced proficiency in English
Tuition & Financial Information
Tuition Fee
EUR 182 (Tuition (Year)) — International students; EUR 182 (Tuition (Year)) — EU/EEA students
Tuition fees: EUR 182 (Tuition (Year)) — International students; EUR 182 (Tuition (Year)) — EU/EEA students
Financial Aid & Scholarships
Contact Saarland University directly for scholarship, grant, and financial aid information for this programme. Many European universities offer merit-based and need-based funding for international and domestic students.
About Saarland University
Saarland University
Saarbrücken, Germany
Saarland University is a public research university located in Saarbrücken, the capital of the German state of Saarland. It was founded in 1948 in Homburg in co-operation with France and is...
University Profile- Application Deadline 2015-11-17
- Start Date 2018-04-18
- Language English
- Duration 24 months