The vision of automated driving is almost within our grasp. To develop automated vehicles, engineers must have factual and methodological knowledge from various specialist disciplines. Our Master programme offers the best possible preparation for these challenges.
Campus Hilltop
Period in semester3 Semester
Languages of instructionGerman
Tuition Fees 19.000,- €
Application PeriodsWintersemester: 15.07.
Admission RequirementsUniversity degree in a relevant discipline and subsequent professional experience.
The Autonomous Driving degree programme is designed to consolidate the diverse technical challenges involved in the development of autonomous vehicles into one single postgraduate programme. Its key content includes sensor technology, machine learning and safety issues, as well as future vehicle and mobility concepts and ethical-legal framework conditions.
Programme graduates play an active role in designing the mobility of tomorrow, making them sought-after specialists in the following fields:
The programme is offered by the University Federation South-West Germany. Applications must be submitted via the Graduate Campus at AalenUniversity. Applications may be submitted at any time.
The admission requirements for the part-time Electromobility Master programme (M.Eng.) are a first university degree in mechatronics, electrical engineering, automotive engineering/automotive systems, mechanical engineering, information technology or a related engineering or science discipline with a final grade of 2.5 or higher and at least 210 ECTS credits. Comparable achievements are assessed on an individual basis and credited accordingly. If the programme for the first degree awarded less than 210 credits, the difference can be made up during the degree programme. You must also demonstrate that you have relevant professional experience of at least one year’s duration as a rule after obtaining your first degree.
This degree programme is particularly suitable for engineers or graduates in the fields of information technology, business information systems, physics or mathematics whose work already touches on the topic of autonomous driving or who would like to specialise in this area.
Experienced lecturers and instructors working at the practical level use application-based and future-oriented course content in their teaching.
Smaller study groups create a close-knit team and facilitate intensive exchanges with other students and lecturers.
The part-time structure combines the advantages of further academic study with the opportunity to immediately put this theoretical knowledge into practice.
Further professional development is possible in parallel with your studies.
The Master programme enhances your qualifications and ensures you have excellent career opportunities in many sectors of industry and research.
the Autonomous Driving Master programme uses our “Canvas” cloud-based learning management system.