PhD Monitor
/Detail
Computer Science● OpenMastersPreview

Master of Science in Computer Science

A research-oriented Master's programme offering specializations in Visual Computing, Embedded Systems, and Intelligent Software Systems.

Best for:Best for students with a Bachelor's degree in Computer Science or Computer Engineering seeking a research-integrated Master's degree.

University of Siegen · Siegen, Germany · R1 · First-stage researcher
More professors at University of Siegen
Visual ComputingEmbedded SystemsSoftware EngineeringMachine LearningCyber-Physical SystemsArtificial Intelligence
This is a masters position — not a PhD studentship.
Deadline
Register by 30 April 2027
Funding
—
4 semesters
Start date
Winter semester
Location
Siegen
Germany

Overview

The Master of Science in Computer Science at the University of Siegen provides a comprehensive education in both theoretical and practical aspects of the field. Students can tailor their studies by choosing from three distinct focus areas: Visual Computing, Embedded Systems, or Complex and Intelligent Software Systems. The curriculum integrates core modules with specialized research-oriented projects, fostering strong links between computer science and electrical engineering. Graduates are well-prepared for professional roles in the IT industry or for pursuing doctoral research within the university's active research groups.

Computer ScienceMaster of ScienceVisual ComputingEmbedded SystemsSoftware SystemsMachine LearningGermanyGraduate Studies

What you'll do

  • Complete four core modules covering fundamental computer science topics.
  • Participate in practical and research-oriented modules including cutting-edge research seminars.
  • Engage in a 15 CP project work module to develop practical industry-relevant skills.
  • Select and complete six specialized modules within a chosen study focus.
  • Conduct independent research and write a Master's thesis.
  • Participate in departmental research projects and collaborative activities.

Requirements

Degree required: Bachelor's degree in Computer Science or Computer Engineering.

Degree offered: Master of Science

Language: English; C1 level required.

Instruction: English

Required skills
  • Strong academic background in computer science fundamentals.
  • Proficiency in English at C1 level (e.g., IELTS 6.5, TOEFL iBT 88).
  • Ability to engage in independent scientific work and research.
Nice to have
Experience with software development and hardware design.Familiarity with machine learning or visual computing concepts.Prior experience in project-based teamwork.
Eligibility
  • Hold a Bachelor's degree in Computer Science or Computer Engineering.
  • Equivalence of degree must be approved by the board of examiners.

Funding & terms

Type
Unknown
Amount
—
Duration
4 semesters
Programme
—

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
Not confirmed by the source
Teaching language
Not confirmed by the source
Taught / research mode
Not confirmed by the source
Study mode
Not confirmed by the source
Campus
Not confirmed by the source
Prerequisites
Not confirmed by the source
Application instructions
Not confirmed by the source
Tuition
Not confirmed by the source
Funding
Not confirmed by the source

How to apply

Deadline: 2025-04-30

Applications must be submitted through the university's official online portal. Applicants should ensure they meet all language and academic requirements before the deadline.

Documents required
  • Bachelor's degree certificate
  • Official language proficiency certificate
  • Academic transcripts
↗Check programme and admissions

Contact

Lab
Faculty of Science and Engineering
University of Siegen
Germany
See the full position

Create a free profile to unlock your personal match score, the full requirements, funding details and how to apply — in English or Persian.

No card · 10 free AI match scores
Explore this programme
Check admissions, intake and funding with the official source; a listing does not mean applications are open.