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Computer Science and Engineering● OpenMastersPreview

MSc Autonomy Technologies

Master the design and development of advanced autonomous systems through an interdisciplinary engineering approach.

Best for:Best for engineering and computer science graduates seeking advanced specialisation in autonomous systems and robotics.

FAU Erlangen-Nürnberg · Erlangen, Germany · R1 · First-stage researcher
More professors at FAU Erlangen-Nürnberg
autonomous systemsartificial intelligenceroboticscontrol theorysensing and perception
This is a masters position — not a PhD studentship.
Deadline
Register by 15 July 2027 + 1 more
Funding
—
4 semesters
Start date
Winter and summer semester
Full-time
Location
Erlangen
Germany

Overview

The Master of Science in Autonomy Technologies at FAU Erlangen-Nürnberg is a research-oriented graduate programme addressing the technological challenges of future technical systems. Combining electrical engineering, mechatronics, computer science, and artificial intelligence, the curriculum provides a system-oriented understanding of both hardware and software components. Students focus on four cutting-edge specialisation areas: Human-System Interfaces, Networking & Collaboration, Planning & Control, and Sensing & Perception. The programme is completed through coursework, laboratory practicals, team projects, internships, and a Master's thesis.

Autonomy TechnologiesMaster of Sciencemechatronicsembedded systemssensor technology

What you'll do

  • Complete mandatory and elective coursework across four specialized areas of autonomous systems
  • Participate in advanced laboratory courses to gain practical experience with hardware and software components
  • Engage in team projects or industrial internships to develop professional soft skills and practical insights
  • Conduct independent research toward the completion of a Master's thesis

Requirements

Degree required: BSc in engineering, computer science, or a related field

Degree offered: Master of Science

Language: English; B2 required, demonstrated by an official language certificate such as IELTS Academic 6.0 or TOEFL iBT 80

Instruction: English

Required skills
  • Proficiency in engineering mathematics including linear algebra, calculus, probability theory, and signal processing
  • Foundational knowledge in control theory and feedback systems
  • Understanding of sensors and physical measurement principles
  • Knowledge of mechatronics and electrical engineering fundamentals
  • Basic programming proficiency in C, C++, Python, or MATLAB
  • Familiarity with fundamental algorithms and data structures
Eligibility
  • Open to applicants of all nationalities meeting academic and language prerequisites

Funding & terms

Type
Unknown
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
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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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Funding
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How to apply

Deadline: 15 July for winter semester; 15 January for summer semester

Applicants must submit their application and required documentation through the university's online application portal (CAMPUS). Non-EU applicants should note any applicable processing fees and tuition regulations prior to submission.

Documents required
  • CV
  • Academic transcripts
  • Official English language certificate
↗Check programme and admissions

Contact

Lab
Faculty of Engineering
FAU Erlangen-Nürnberg
Germany
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Check admissions, intake and funding with the official source; a listing does not mean applications are open.