BSc Autonomy Technologies

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

Level
Bachelor's
Award
Bachelor of Science
Language
English
Duration
6 semesters
Study mode
Full-time
Campus
Erlangen
Apply by
<p>The application period starts on 15 April. The final application for the winter intake deadline ends on the following dates:</p> <ul> <li>on 15 July for <strong>international</strong> applicants</li> <li>on 31 August for <strong>national</strong> applicants</li> </ul>
Starts
Winter semester

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

Entry requirements and how to apply

Entry requirements
All applicants to the BSc AT have to pass a qualification assessment test ("Eignungsfeststellungsverfahren") in order to enrol in this programme. This is to ensure that proficiency in English, mathematics, computer science and physics is at a level that will allow them to study successfully. The qualification assessment test is based on proficiency in the above-mentioned basic scientific knowledge.
English language requirement
B2 required, please provide an official language certificate, e.g.: TOEFL iBT (before 2026): 72 Reading: 18 Listening: 17 Speaking: 20 Writing: 17 Cambridge English Qualifications: B2 First IELTS Academic: 5.5
German language requirement
No minimum language level required (proficiency assessment via test or interview)
Application period
The application period starts on 15 April. The final application for the winter intake deadline ends on the following dates: on 15 July for international applicants on 31 August for national applicants
Apply through
Please check this website .

About this programme

The BSc programme provides fundamentals to tackle autonomy technologies and create autonomous systems. The programme therefore comprises modules in mathematics, electrical engineering, mechatronics, signal theory and processing, systems and control, computer science, numerics, and simulation as well as artificial intelligence. For a deeper understanding, students select one of the following four specialisation areas: Human-System Interfaces, Networking & Collaboration, Planning & Control, or Sensing & Perception. The programme is completed by further elective modules and a Bachelor's thesis.

Related pages

Other degree programmes at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)