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Computer Science● OpenMastersPreview

MSc in Human-Centred Intelligent Systems

An interdisciplinary Master's programme exploring the intersection of computer science, artificial intelligence, and human-centred interactive technologies.

Best for:Best for quantitative bachelor graduates in computer science or related engineering disciplines seeking advanced specialisation in AI and interactive systems.

RWTH Aachen University · Aachen, Germany · R1 · First-stage researcher
More professors at RWTH Aachen University
Artificial IntelligenceMachine LearningHuman-Computer InteractionData ScienceInteractive TechnologiesSoftware Engineering
This is a masters position — not a PhD studentship.
Deadline
Register by 15 July 2027 + 1 more
Funding
Unfunded
4 semesters
Start date
Winter semester
Full-time
Location
Aachen
Germany

Overview

The Master of Science in Human-Centred Intelligent Systems at RWTH Aachen University is a comprehensive graduate programme addressing technical and economic challenges at the crossroads of computer science and interactive systems. Delivered in collaboration with the University of Bonn, the Bonn-Aachen International Center for Information Technology, and local Fraunhofer Institutes, the curriculum covers artificial intelligence, human-centred technologies, and societal impact. Students engage in rigorous theoretical study combined with hands-on research lab courses embedded in applied research environments. The programme prepares graduates for complex leadership and technical roles in industry and academia.

Human-Centred AIMachine LearningInteractive SystemsData ScienceSoftware EngineeringExplainable AIComputer Graphics

What you'll do

  • Complete approximately 30 ECTS credits per semester through lectures, seminars, and advanced lab courses
  • Participate in core modules covering artificial intelligence, machine learning, and designing interactive systems
  • Conduct practical research lab courses embedded within partner Fraunhofer institutes or university departments
  • Complete elective coursework in specialised areas such as data science, computer graphics, or business process intelligence
  • Execute an independent Master's thesis project during the final semester, potentially in collaboration with industry partners

Requirements

Degree required: BSc in Computer Science, Computer Engineering, Informatics, or closely related discipline

Degree offered: Master of Science

Language: English; IELTS Academic 5.5 or equivalent B2 proficiency certificate

Instruction: English

Required skills
  • Minimum 28 ECTS in applied computer science including programming, data structures, and algorithms
  • Minimum 18 ECTS in computer engineering including operating systems and IT security
  • Minimum 18 ECTS in theoretical computer science including automata, complexity, and logic
  • Minimum 26 ECTS in mathematics including analysis, linear algebra, and stochastics
  • Above-average academic performance in undergraduate studies
Nice to have
Prior research or lab experience in machine learning or interactive systemsPractical software development experience in team environments
Eligibility
  • Must hold a recognised first degree equivalent to a Bachelor of Science or Engineering
  • Non-EU/EEA applicants must submit a valid GRE General Test score
  • Must meet specific ECTS credit prerequisites across four core foundational areas

Funding & terms

Type
Unfunded
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
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Campus
Not confirmed by the source
Prerequisites
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Application instructions
Not confirmed by the source
Tuition
Not confirmed by the source
Funding
Not confirmed by the source

How to apply

Deadline: 2026-03-01

Applicants must review specific admission criteria and submit their application through the RWTHonline portal. Non-EU/EEA applicants must ensure required test scores such as the GRE are included with their submission before the respective deadline. Admitted students will receive further instructions regarding enrolment and housing assistance.

Documents required
  • BSc degree certificate and transcripts
  • English language proficiency certificate
  • GRE General Test score (for non-EU/EEA applicants)
↗Check programme and admissions

Contact

Lab
Fraunhofer FIT and IAIS
RWTH Aachen University
Germany
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