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Computer Science (Visual Computing, Computer Vision, Graphics, AI)● OpenMastersPreview

Master of Science in Visual Computing

Interdisciplinary English-taught MSc programme in visual computing at Saarland University, blending computer science, AI, and applied mathematics.

Best for:Best for students with a strong background in computer science, mathematics, or related fields who are passionate about visual computing, AI, and interdisciplinary research.

Saarland University · Saarbrücken, Germany
More professors at Saarland University
image acquisition and geometric foundationsimage analysis (computer vision, pattern recognition)image synthesis (computer graphics, scientific visualization)machine learning and artificial intelligencetelecommunications and signal processingmedical engineering and computational linguistics
This is a masters position — not a PhD studentship.
Deadline
For the winter semester : Early deadline: Applicants who apply by 15 November for the following winter semester can expect to receive a letter of admission by mid-February. Regular deadline: 15 May. A decision can be expected in August. For the summer semester: Early deadline: Applicants who apply by 15 May for the following summer semester can expect to receive a letter of admission by mid-July. Regular deadline: 15 November. A decision can be expected in January.
Funding
Unfunded
€394.3
Start date
Winter or Summer semester (flexible)
Full-time
Location
Saarbrücken
Germany

Overview

The Master of Science in Visual Computing at Saarland University is an interdisciplinary programme focused on the acquisition, analysis, and synthesis of visual data using computational methods. Coordinated by the Department of Computer Science, this programme leverages collaborations with leading research institutes such as the Max Planck Institute for Informatics and the German Research Center for Artificial Intelligence. Students explore core topics like image processing, computer vision, graphics, and related fields such as machine learning, AI, and medical engineering. The flexible curriculum allows students to tailor their studies to their interests while benefiting from a vibrant international research environment and partnerships with industry and academia.

visual computingcomputer visioncomputer graphicsimage processingartificial intelligencemachine learninginterdisciplinary researchSaarland Informatics Campus

What you'll do

  • Develop and implement advanced algorithms for image acquisition, analysis, and synthesis using computational methods.
  • Conduct research in interdisciplinary fields such as computer vision, graphics, and AI, integrating knowledge from mathematics, physics, and mechatronics.
  • Participate in collaborative projects with leading research institutes and industry partners.
  • Choose courses from a broad spectrum of topics to tailor your studies to your research interests.
  • Engage in independent study and research projects, potentially involving international collaborations.
  • Present research findings and participate in seminars and workshops to enhance academic and professional skills.

Requirements

Degree required: Bachelor's degree in computer science, mathematics, physics, electrical engineering, mechatronics, or a related field with a minimum grade equivalent to 75%.

Language: English proficiency at C1 level, demonstrated by an official certificate such as TOEFL iBT (95), IELTS Academic (7), PTE Academic (76), or equivalent.

Instruction: English

Required skills
  • Strong programming skills and proficiency in computational tools.
  • Familiarity with core concepts in computer science, mathematics, and physics.
  • Experience with image processing, computer vision, or graphics-related projects.
  • Ability to work independently and collaboratively in interdisciplinary teams.
  • Basic understanding of telecommunications, signal processing, or machine learning principles.
Nice to have
Experience with machine learning frameworks (e.g., TensorFlow, PyTorch).Knowledge of scientific visualization tools and techniques.Background in medical engineering or computational linguistics.Familiarity with research methodologies and academic writing.
Eligibility
  • No minimum German language proficiency required.
  • Applicants must have completed a Bachelor's degree in a relevant field.
  • No restrictions on nationality or residency.

Funding & terms

Type
Unfunded
Amount
€394.3
Duration
4 semesters (2 years)
Programme
Saarland University
Saarland University

Programme and admissions

Admissions not verified

A catalogue listing does not mean applications are open or funding is guaranteed. Check the source for your intake.

Intake
Not confirmed by the source
Duration
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Teaching language
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Taught / research mode
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Study mode
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Campus
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Prerequisites
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Application instructions
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Tuition
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Funding
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How to apply

Deadline: 15 November (early) or 15 May (regular) for Winter semester; 15 May (early) or 15 November (regular) for Summer semester

Applicants must submit an online application form along with a CV, statement of purpose, transcript of records, two references, an English proficiency certificate, and GRE Test or Gate Test scores. Applications are submitted through the official university portal.

Documents required
  • CV
  • Statement of purpose (purpose of study)
  • Transcript of records
  • Two references from professors or employers
  • English proficiency certificate (TOEFL, IELTS, PTE, or equivalent)
  • GRE Test or Gate Test scores
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Contact

Lab
Saarland Informatics Campus (SIC)
Saarland University
Germany
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