Autonomy Technologies (M.Sc.)

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 program 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.
The MSc program provides advanced knowledge to tackle autonomy technologies and create autonomous systems. The research-oriented program focuses on the design and development of autonomous systems as one of todays most relevant technological challenges and consists of mandatory and elective modules in two of the four areas of specialization:
- Human-System interfaces,
- Networking & Collaboration,
- Planning & Control, or Sensing & Perception.
Beyond this, students obtain advanced knowledge in elective modules and seminars. Lab courses provide a practical perspective, which is deepened and supplemented by soft skills in a. team project or an internship in the industry. The program is completed by a master thesis.
Autonomy Technologies aims to address the technological challenges of tomorrow’s technical systems providing a unique blend of electrical engineering, mechatronics, computer science, and artificial intelligence. Therefore, the study program conveys a system-oriented understanding and a broad knowledge base for software and hardware components to design autonomous systems. In particular, the study program comprises four cutting-edge specialization areas: Human-System Interfaces, Networking & Collaboration, Planning & Control, and Sensing & Perception.
- passion for technology
- interest in theoretical background, and aspiration to create autonomous systems.
- fun with learning science, technology, engineering, and mathematics.
The degree qualifies students for jobs in different branches of industry such as automotive, automation and robotics, communication services or industrial services.
The FAU Faculty of Engineering has versatile competencies in the areas of autonomous systems, robotics, and artificial intelligence and thus offers diverse and interesting topics for university internships and research or final theses. Practical insights and career opportunities: In the metropolitan region of Nuremberg and especially in Erlangen, there are many industrial companies that can provide insights into later professional life already during studies, for example through internships or working student activities. Companies such as Siemens, Schaeffler, Continental, Adidas, Diehl and many others are closely networked with the Faculty of Engineering.

Degree type: Master of Science (M.Sc.)
Type of study: Master
Location: Erlangen
Standard duration of study: 4 Semester
Start date of degree program: Summer Term, Winter Term
Language: Entirely in English
Size: (currently 50-150 Students)
Faculty: Faculty of Engineering
Admission: Qualification assessment