Autonomy Technologies (M.Sc.)
Autonomy Technologies (M.Sc.)
The challenging Master’s degree program Autonomy Technologies offers you the perfect prerequisites for a career in the fast-growing field of autonomous systems. Here you will not only acquire a broad knowledge base in engineering, computer science and artificial intelligence, but also a deep understanding of systems. With this in-depth knowledge, you will be well equipped to develop complex autonomous systems and work in various industries such as automotive, automation and robotics, communication services or industrial services.
Fact Sheet
- Degree
- Master of Science
- Admission
- Qualification assessment
- Duration of studies
- 4 semesters
- Teaching language
- completely in English
- Faculty
- Faculty of Engineering
- Start of degree program
- Summer semester, Winter semester
- Number of students
- 1-50
- Special ways to study
- International degree program, Part-time degree program
Program overview
What is the degree program about?
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 an in-depth understanding of systems. Graduates of the degree program are skilled engineers who are extremely well prepared for careers in the rapidly growing field of autonomous systems. The degree qualifies graduates for roles in different sectors of industry such as automotive, automation and robotics, communication services or industrial services.
The Master’s degree program provides graduates with the advanced knowledge and skills required to understand autonomy technologies and create autonomous systems. The research-oriented program focuses on the design and development of autonomous systems as one of today’s most relevant technological challenges and consists of compulsory and elective modules in two of the following four specializations: Human-System Interfaces, Networking & Collaboration, Planning & Control or Sensing & Perception. In addition, students obtain advanced knowledge in elective modules and seminars. Lab courses provide a practical perspective, which is supplemented by soft skills gained in a team project or an internship in industry. The program is completed by a Master’s thesis.
For a deeper understanding, students choose one of four areas of specialization based on their acquired knowledge:
- Human-System Interfaces,
- Networking & Collaboration,
- Planning & Control or
- Sensing & Perception.
- The program is rounded off by further elective modules and a Master’s thesis.
- passion for technology,
- interest in theoretical background
- aspiration to create autonomous systems
- enthusiasm for learning science, technology, engineering and mathematics.
The Faculty of Engineering at FAU has a wide range of expertise in the areas of autonomous systems, robotics and artificial intelligence and can therefore offer a variety of interesting topics for laboratory training, research and final theses.
Placements and career options: In the Nuremberg Metropolitan Region, and in Erlangen in particular, there are many different industrial companies where students can complete placements or work as student trainees to gain an insight into future areas of work. Companies such as Siemens, Schaeffler, Continental, Adidas, Diehl and many others have close links to the Faculty of Engineering.
The degree qualifies students for roles in various sectors of industry such as automotive, automation and robotics, communications or industrial services.
Application for a Degree Program

Admission Requirements and Application
Admission
- Master: Qualification assessment
Application deadline
- Winter semester: 15.07.
- Summer semester: 15.01.
Language skills
- no knowledge of German required
- German language skills for international applicants: No DSH, English (level B2, CEFR)
Content related master requirements
FAU’s websites provide an overview of current application deadlines as well as information on the local selection process and how to apply.
Details and notes
All applicants to the Master’s degree program in Autonomy Technologies have to pass a qualification assessment test in order to enroll in this program. This is to ensure that proficiency in the required prerequisites is at a level which will allow them to study successfully. The online test takes place twice during the application period. Applicants will get more information in good time.

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