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Computer Science● OpenMastersOpen until filledPreview

Master of Science in Computer Science

A research-focused English-taught MSc programme at the University of Bayreuth combining theoretical depth and practical project experience.

Best for:Best for students with a BSc in Computer Science or related fields seeking a research-intensive, project-based master’s programme with specialisation options in AI, data science, or robotics.

University of Bayreuth · Bayreuth, Germany
More professors at University of Bayreuth
Algorithmic and mathematical foundations of computer scienceSoftware and hardware system designProject-based research and developmentArtificial IntelligenceData ScienceRobotics and Automation
This is a masters position — not a PhD studentship.
Deadline
Until filled
rolling
Funding
Scholarship
Limited funding available for up to two semesters (€ amount not specified).
Start date
Winter or summer semester (flexible start dates).
Full-time
Location
Bayreuth
Germany

Overview

The Master of Science in Computer Science at the University of Bayreuth is a research-oriented programme designed to equip students with both broad disciplinary knowledge and specialised expertise. The curriculum emphasises algorithmic, mathematical, and technological skills while fostering project-based learning and interdisciplinary collaboration. Students engage in bilingual education (English and German) and can pursue optional certificates in Artificial Intelligence, Data Science, or Robotics & Automation. The programme prepares graduates for doctoral studies, industry research, or leadership roles in software development, system design, and innovation-driven sectors. Located in Bayreuth, Germany, it offers a vibrant academic environment with strong industry connections and affordable living costs.

Computer Science MScResearch-oriented educationProject-based learningBilingual programme (English/German)AI, Data Science, Robotics certificatesIndustry-academia collaborationBayreuth University

What you'll do

  • Develop and implement software and hardware systems through project-based learning.
  • Conduct independent research under faculty supervision, contributing to academic and industry-relevant projects.
  • Apply theoretical knowledge in algorithmic design, mathematical modelling, and system analysis.
  • Collaborate on interdisciplinary projects, integrating technical skills with social and project management competencies.
  • Pursue specialised expertise through optional certificates in Artificial Intelligence, Data Science, or Robotics & Automation.
  • Prepare and defend a master’s thesis based on original research or applied development work.

Requirements

Degree required: Bachelor’s degree in Computer Science or Applied Computer Science, or an equivalent qualification with a minimum grade of 'good' (2.5 or better).

Language: English proficiency at B2 level (IELTS Academic: 6.5 or equivalent) and German proficiency at A1 level (official certificate required).

Instruction: English (100% of courses).

Required skills
  • Proven academic background in Computer Science or related fields.
  • Strong problem-solving and analytical skills.
  • Basic proficiency in programming and system development.
  • Ability to work independently and collaboratively in research projects.
Nice to have
Experience with project management and teamwork.Familiarity with emerging fields like AI, data science, or robotics.Bilingual proficiency in English and German (though not strictly required for admission).
Eligibility
  • Applicants must have completed at least 150 credits of their Bachelor’s degree by the application deadline.
  • Conditional admission is possible with up to 15 additional credit points to be completed.
  • GRE or GATE scores are required if the Bachelor’s degree was earned outside the European Higher Education Area (EHEA).
  • No nationality or residency restrictions, but proof of language proficiency is mandatory.

Funding & terms

Type
Scholarship
Amount
Limited funding available for up to two semesters (€ amount not specified).
Duration
Up to two semesters (funding available for second and third semesters only).
Programme
DAAD and State of Bavaria scholarships for international students and doctoral researchers.
University of Bayreuth International Office, DAAD, State of Bavaria

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

Applicants must submit their application through the University of Bayreuth’s official portal. Required documents include a CV, degree certificate, language proficiency proof, GRE/GATE scores (if applicable), and a statement of purpose. Applications can be submitted before degree completion, provided at least 150 credits are earned by the application deadline. No fixed deadline is listed, but funding applications for the winter semester have a deadline of 31 August and for the summer semester, 28 February.

Documents required
  • CV
  • Bachelor’s degree certificate (or proof of at least 150 credits if degree not yet completed)
  • Official English proficiency certificate (IELTS Academic: 6.5 or equivalent)
  • Official German proficiency certificate (A1 level)
  • GRE or GATE scores (if applicable)
  • Statement of purpose or research proposal
  • Reference letters (number not specified)
↗Check programme and admissions

Contact

Lab
Department of Computer Science
University of Bayreuth
DAAD and State of Bavaria scholarships for international students and doctoral researchers.Germany
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Check admissions, intake and funding with the official source; a listing does not mean applications are open.