MSc Autonomy Technologies

Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) · Nuremberg, Germany

Level
Master's
Award
Master of Science
Language
English
Duration
4 semesters
Study mode
full-time part-time (study alongside work)
Campus
Erlangen
Apply by
Register by 15 July 2027 + 1 more
Starts
Winter and summer semester

Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) does not publish a fee for this programme on its own. Its published rate for master's programmes is €0 a year for international students.

Entry requirements and how to apply

Entry requirements
Prerequisites: Engineering mathematics: linear algebra, calculus and analysis, geometry, probability theory, information theory, signal processing Control Theory (e.g. as covered in Feedback Systems: An Introduction for Scientists and Engineers (Åström & Murray, 2008)) Sensors (e.g. as covered in Handbook of Modern Sensors: Physics, Designs, and Applications (Fraden, 2010)) Mechatronics (e.g. as covered in Mechatronic Systems: Fundamentals (Isermann, 2007)) Electrical Engineering Basic knowledge in programming, e.g. C, C++, Python, Matlab Knowledge in fundamentals of algorithms and data structures
English language requirement
B2 required, please provide an official language certificate, e.g.: IELTS Academic: 6 TOEFL iBT (before 2026): 80 Reading: 18 Listening: 17 Speaking: 20 Writing: 17 Cambridge English Qualifications: B2 First
German language requirement
No minimum language level required
Application period
The following is valid for applicants from: all countries For the winter semester: 15 February - 15 July The following is valid for applicants from: all countries For the summer semester: 15 September - 15 January
Apply through
Please check this website .

About this programme

Autonomy Technologies offers a unique combination of engineering, computer science, and artificial intelligence. Students gain a broad knowledge base of hardware and software components and in-depth system understanding. Graduates of the programme are competent engineers, perfectly prepared for careers in the rapidly growing field of autonomous systems. The degree qualifies students for jobs in different branches of industry such as automotive, automation and robotics, communication services or industrial services. Autonomy Technologies aims to address the technological challenges of tomorrow’s technical systems by providing a unique blend of electrical engineering, mechatronics, computer science, and artificial intelligence. Therefore, the study programme conveys a system-oriented understanding and a broad knowledge base for software and hardware components to design autonomous systems. In particular, the study programme comprises the following four cutting-edge specialisation areas: Human-System Interfaces, Networking & Collaboration, Planning & Control, and Sensing & Perception.

Related pages

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