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Systems Engineering and Control Theory● OpenMastersPreview

MSc in Systems and Control Engineering

A specialized master’s program in modeling, systems analysis, and advanced control for complex technical systems.

Best for:Best for engineering graduates with a strong mathematical background seeking to specialize in control systems, automation, and AI-driven technical solutions.

Eindhoven University of Technology · Eindhoven, Netherlands
More professors at Eindhoven University of Technology
control systems theorydata-driven controlartificial intelligence in engineeringsystems modelingcomplex technical systems analysiselective specialization in high-tech applications
This is a masters position — not a PhD studentship.
Deadline
May 1, 2027
199 days
Funding
—
2 years (120 ECTS)
Start date
Flexible (typically aligned with academic calendar)
Full-time
Location
Eindhoven
Netherlands

Overview

The MSc in Systems and Control at Eindhoven University of Technology equips students with expertise in modeling, systems analysis, and controller design for complex technical systems. The curriculum blends theoretical foundations in mathematics and engineering with practical applications, including data-driven control and artificial intelligence. Students gain hands-on experience through real-world system analysis and have flexibility to tailor their studies via elective courses. The program emphasizes interdisciplinary problem-solving, preparing graduates for careers in high-tech industries and research.

control engineeringsystems analysismathematical modelingautomationhigh-tech systemselective coursesengineering mathematicsAI applications in engineering

What you'll do

  • Develop advanced mathematical models for complex technical systems and processes.
  • Design and implement controllers for real-world systems using theoretical and data-driven approaches.
  • Apply artificial intelligence techniques to enhance control system performance.
  • Conduct hands-on analysis and experimentation with real technical systems.
  • Select and complete elective courses to specialize in high-tech applications of interest.
  • Collaborate on interdisciplinary projects integrating theory with practical engineering challenges.

Requirements

Degree required: Bachelor of Science in Engineering, Mathematics, Physics, Computer Science, or a related quantitative field

Degree offered: Master of Science (MSc)

Language: English; Cambridge Certificate of Proficiency (C1), IELTS 6.5 overall, or TOEFL iBT 90

Instruction: English

Required skills
  • Strong proficiency in mathematical modeling and analysis
  • Basic understanding of control systems and automation principles
  • Familiarity with programming and computational tools for engineering applications
  • Ability to apply theoretical knowledge to practical engineering problems
Nice to have
Experience with data-driven control techniquesBackground in artificial intelligence or machine learningKnowledge of advanced simulation or modeling softwarePrior exposure to high-tech industry applications
Eligibility
  • No restrictions on nationality or residency
  • No age or prior experience caps
  • Applicants must hold a recognized bachelor’s degree in a relevant field

Funding & terms

Type
Unknown
Amount
—
Duration
2 years (120 ECTS)
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
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Teaching language
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Taught / research mode
Not confirmed by the source
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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Funding
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How to apply

Deadline: 2027-05-01

Applicants must submit their application through the university’s official graduate school portal. Required documents include a CV, bachelor’s degree transcripts, proof of English proficiency, a motivation letter, and letters of recommendation. The application process is competitive and requires careful attention to deadlines.

Documents required
  • CV
  • Bachelor’s degree transcripts
  • Proof of English proficiency (Cambridge C1, IELTS 6.5, or TOEFL 90)
  • Motivation letter
  • Letters of recommendation (typically 2-3)
↗Check programme and admissions
Lab
Department of Mathematics and Computer Science / Mechanical Engineering
Eindhoven University of Technology
Netherlands
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