Autonomy Technologies (B.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 BSc program provides fundamentals to tackle autonomy technologies and create autonomous systems. The program therefore comprises modules in mathematics, electrical engineering, mechatronics, signal theory and processing, systems and control, computer science, numerics, simulation, as well as artificial intelligence.
For a deeper understanding, students select one of four areas of specializations based on the obtained knowledge:
- Human-System Interfaces,
- Networking & Collaboration,
- Planning & Control or
- Sensing & Perception.
The program is completed by further elective modules and a bachelor 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: Bachelor of Science (B.Sc.)
Type of study: One subject Bachelor's degree programme
Standard duration of study: 6
Start date of degree program: Winter Term
Language: Entirely in English
Size: (currently 50-150 Students)
Faculty: Faculty of Engineering
Admission: Aptitude test