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Control Systems and Robotics Engineering● OpenMastersPreview

Master of Science in Engineering Cybernetics

Prepare for innovation in autonomous systems, robotics, and advanced control through rigorous theory and hands-on application.

Best for:Best for students with a strong background in mathematics, modelling, and systems/control who seek to specialise in autonomous systems, robotics, and advanced engineering technologies.

University of Stuttgart · Stuttgart, Germany
More professors at University of Stuttgart
Autonomous systemsRoboticsControl theorySystem dynamicsModelling and simulationOptimisation techniques
This is a masters position — not a PhD studentship.
Deadline
Register by 15 January 2027
Funding
Unfunded
€200–€1.1k/mo
Start date
Winter semester (typically October)
Full-time
Location
Stuttgart
Germany

Overview

The Master of Science in Engineering Cybernetics at the University of Stuttgart offers a rigorous, interdisciplinary programme focused on control systems, modelling, and optimisation. Rooted in the foundational work of Norbert Wiener, this programme bridges theoretical depth and practical application, equipping graduates to tackle complex challenges in robotics, biomedical technologies, and transport systems. Students engage in core courses on system dynamics, advanced control, and mathematical modelling, complemented by specialised electives and a mandatory industrial internship. The curriculum emphasises both theoretical mastery and real-world problem-solving, culminating in a master’s thesis under expert supervision. This programme is ideal for those seeking expertise in autonomous systems and cutting-edge engineering solutions.

Control systems engineeringRoboticsAutonomous systemsMathematical modellingDynamic systemsIndustrial internshipAdvanced control theoryEngineering cybernetics

What you'll do

  • Develop a strong theoretical foundation in control systems, system dynamics, and mathematical modelling through core courses.
  • Apply advanced control techniques and optimisation methods to solve complex engineering problems.
  • Engage in specialised electives to deepen expertise in areas such as robotics, biomedical technologies, or transport systems.
  • Complete a mandatory industrial internship to gain practical experience in real-world engineering environments.
  • Work collaboratively in group projects to solve practice-oriented tasks, focusing on structured problem-solving and teamwork.
  • Conduct independent research and write a master’s thesis under the supervision of faculty members.
  • Participate in optional German-taught courses to enhance language skills and cultural integration.

Requirements

Degree required: Bachelor of Science in a related field with a focus on mathematics, modelling, and systems and control engineering

Language: English; C1 level required (TOEFL iBT 95 or 5 from 2026, IELTS Academic 7)

Instruction: English (with optional German-taught courses)

Required skills
  • Strong background in mathematics and systems theory
  • Proficiency in modelling and simulation techniques
  • Ability to apply theoretical knowledge to practical engineering challenges
  • Experience with advanced control algorithms and optimisation methods
  • Familiarity with programming and computational tools relevant to engineering
Nice to have
Prior experience with robotics or autonomous systemsKnowledge of industrial applications in transport or biomedical fieldsFluency in German for additional coursework
Eligibility
  • No minimum age requirement
  • No nationality restrictions
  • No residency restrictions
  • No prior work experience required

Funding & terms

Type
Unfunded
Amount
€200–€1.1k/mo
Duration
4 semesters (2 years)
Programme
University of Stuttgart
University of Stuttgart

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
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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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How to apply

Deadline: 15 November - 15 January (for winter semester)

Applicants must submit their application through the university’s online portal, CampusOnline. Required documents include a completed application form, proof of English proficiency, academic transcripts, a CV, and a letter of motivation. Non-EU students must also demonstrate sufficient financial means to cover living expenses for 12 months.

Documents required
  • Completed application form
  • Proof of English proficiency (TOEFL/IELTS)
  • Academic transcripts (Bachelor’s degree)
  • CV (Curriculum Vitae)
  • Letter of motivation
  • Proof of financial means (for non-EU students)
↗Check programme and admissions

Contact

Lab
Institute of Systems Theory and Automatic Control (IST)
University of Stuttgart
Germany
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