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Computer Science● OpenMastersPreview

Master of Science in Intelligent Interactive Systems (IISY)

A comprehensive Master's programme focused on the design, development, and analysis of autonomous intelligent systems.

Best for:Best for students with a strong background in computer science, mathematics, and AI fundamentals seeking a research-oriented Master's degree.

Bielefeld University · Bielefeld, Germany · R1 · First-stage researcher
More professors at Bielefeld University
Artificial IntelligenceMachine LearningAutonomous SystemsHuman-Machine InteractionRobotics
This is a masters position — not a PhD studentship.
Deadline
Register by 15 July 2027
Funding
—
No tuition fees; semester contribution of approx. 333 EUR.
Start date
Winter semester
Full-time
Location
Bielefeld
Germany

Overview

The Master of Science in Intelligent Interactive Systems (IISY) at Bielefeld University is a full-time, four-semester programme designed to equip students with the skills to create autonomous AI systems. The curriculum covers three core thematic blocks: Interaction Technology, Artificial Intelligence & Machine Learning, and Autonomous Systems Engineering. Students engage in both theoretical foundations and practical applications, including a mandatory group project in the third semester. The programme emphasizes interdisciplinary research methods, critical thinking, and collaborative development. Graduates are prepared for professional roles in robotics, assistive systems, and intelligent software development.

Intelligent SystemsInteraction TechnologyAutonomous AgentsComputer ScienceMaster of ScienceAI Engineering

What you'll do

  • Complete foundational modules in computer science, mathematics, and intelligent systems development.
  • Participate in advanced and applied modules within chosen specializations.
  • Engage in a collaborative group project involving three to five students to solve practical engineering challenges.
  • Conduct independent scientific research and document findings according to academic standards.
  • Author a Master's thesis based on original research or advanced technical development.

Requirements

Degree required: Bachelor's degree in Computer Science or a closely related field with a minimum grade of 2.7 (German system).

Degree offered: Master of Science

Language: English (B2 CEFR or higher); IELTS 5.5 or TOEFL iBT 72.

Instruction: English (60%) and German (40%)

Required skills
  • 30 ECTS in foundations of computer science (algorithms, data structures, computer architecture).
  • 10 ECTS in mathematics (analysis, linear algebra, stochastics).
  • 30 ECTS in technical methods for intelligent systems (machine learning, AI, robotics, or image/language processing).
  • Proficiency in English at B2 level or higher (CEFR).
Nice to have
Interdisciplinary knowledge in psychology, neurobiology, linguistics, or philosophy.Experience in collaborative software development or research projects.
Eligibility
  • Applicants must hold a qualifying Bachelor's degree.
  • Must provide a detailed list of courses passed with ECTS credits for admission evaluation.

Funding & terms

Type
Unknown
Amount
No tuition fees; semester contribution of approx. 333 EUR.
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
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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
Not confirmed by the source
Funding
Not confirmed by the source

How to apply

Deadline: 2025-07-15

Applications must be submitted through the university's official online portal. Applicants are required to provide academic transcripts and proof of language proficiency as specified in the admission requirements.

Documents required
  • Bachelor's degree certificate
  • Academic transcripts
  • Course list with ECTS credits
  • English language proficiency certificate
↗Check programme and admissions

Contact

Lab
Faculty of Technology
Bielefeld University
Germany
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Check admissions, intake and funding with the official source; a listing does not mean applications are open.