Friedrich Alexander University Erlangen-Nuremberg campus view with students and historic architecture
Master of Science
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Friedrich Alexander University Erlangen-Nuremberg
Erlangen
Germany

Autonomy Technologies

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About

The Master of Science in Autonomy Technologies at the University of Erlangen-Nuremberg (FAU) is a full-time, English-taught graduate program designed for students seeking advanced expertise in automation, robotics, and intelligent systems. Spanning four semesters, the program emphasizes both theoretical foundations and practical applications, including control systems, autonomous vehicles, robotics, and smart manufacturing technologies. Students develop advanced technical skills and problem-solving abilities to design, implement, and manage complex autonomous systems in real-world environments.

Located in Erlangen, a hub for engineering and technological research, the program provides access to cutting-edge laboratories, industry collaborations, and interdisciplinary projects. With its international orientation, FAU’s M.Sc. in Autonomy Technologies prepares graduates for careers in automation, robotics, autonomous systems, and smart manufacturing, or for further research in advanced engineering and automation fields.

Key information

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Key Facts

  • Degree: Master of Science (M.Sc.)
  • Standard period of study: 4 semesters
  • Location: Erlangen
  • Study type: Graduate (full-time, international)
  • Admission semester: Summer and Winter semesters
  • Area of study: Automation Technology / Autonomy Technologies
  • Admission modus: Without admission restriction
  • Main language: English

Program Structure

Semester 1 – Foundations of Autonomy Technologies

  • Fundamentals of Automation and Control Systems
  • Programming and Embedded Systems
  • Mathematics and Physics for Automation
  • Laboratory Exercises and Practical Projects

Semester 2 – Sensors, Actuators, and Intelligent Systems

  • Sensor Technology and Data Acquisition
  • Actuation Systems and Control Engineering
  • Robotics and Autonomous Systems
  • Practical Laboratory Projects

Semester 3 – Advanced Automation and AI Applications

  • Industrial Automation and IoT
  • AI for Autonomous Systems
  • Modeling and Simulation
  • Project Work / Industry Collaboration

Semester 4 – Master’s Thesis & Capstone Project

  • Independent Research Thesis
  • Capstone Project in Autonomy Technologies
  • Scientific Reporting and Presentation
  • Final Thesis Defense

Career Opportunities

Graduates of the Master of Science in Autonomy Technologies at FAU Erlangen are prepared for diverse careers in automation, robotics, and intelligent systems. Potential roles include automation engineer, robotics specialist, control systems developer, autonomous vehicle engineer, and R&D project manager. Graduates can work in high-tech industries such as manufacturing, automotive, aerospace, logistics, and smart systems, or pursue doctoral research and advanced studies in automation and robotics.

Why Choose This Program

The Master of Science in Autonomy Technologies at FAU Erlangen offers a curriculum that balances advanced theoretical knowledge with practical, hands-on experience. Students gain expertise in robotics, control systems, sensors, and AI-driven autonomous systems, while working on lab exercises, projects, and industry collaborations that prepare them for real-world engineering challenges.

The program’s strength lies in its international, English-taught structure and close ties to research institutions and high-tech industries. Access to state-of-the-art laboratories, interdisciplinary projects, and professional networks equips graduates with the skills, experience, and industry insight to excel in careers in automation, robotics, and innovative technology sectors worldwide.

Contact Information

University of Erlangen-Nuremberg – Student Advisory Service
Schlossplatz 3
91054 Erlangen, Germany
Tel: +49 9131 85-23333
Fax: +49 9131 85-24803
Email: zsb@fau.de

International Office – FAU Erlangen-Nuremberg
Helmstraße 1
91054 Erlangen, Germany
Tel: +49 9131 85-24801
Fax: +49 9131 85-22131
Email: kira.gehrmann@fau.de