1. Kempten University of Applied Sciences
  2. Faculty of Electrical Engineering
  3. Degree courses
  4. Master
  5. Advanced Driver Assistance Systems

Advanced driver assistance systems and and autonomous driving – making future mobility sustainable

Do you want to help shape sustainable mobility and play an active role in improving safety, providing assistance and reducing the stresses involved in driving? By developing state-of-the-art driver assistance systems, you will play a pivotal role in improving vehicles and making manufacturers more competitive. We are on the road towards different levels of automated driving. This three-semester master’s degree programme in Advanced Driver Assistance Systems teaches you excellent knowledge in this future-focused field of activity and its the different tasks involved.

You will not only enhance your knowledge in simulation, enabling you to calculate how to foresee the future, but also benefit from the interdisciplinary input from the aspects of psychology and ergonomics that play a key role in combining the fields of human-machine interaction and user experience. Throughout the programme, you can expect to take part in interesting projects and international exchange programmes, establishing valuable contacts with prestigious partners in industry, TechROAD (Technical Roundtable on the Purpose of Autonomous Driving) and ROAD (Roundtable on the Purpose of Autonomous Driving).

Graduates are in high demand to assume roles as experts and managers in the industry. This broadly spread master’s degree programme prepares you optimally to meet precisely these demands.

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At a glance

  • Award

    Master of Science (M. Sc.)

  • Study mode

    full-time, part-time, dual

  • Standard duration

    3 semesters

  • ECTS credits

    90

  • Starts

    winter semester
    summer semester

  • Restricted admission

    no

  • Taught in

    German

  • Faculty

    Electrical Engineering

  • Study abroad

    optional

  • Accreditation

    ASIIN

Details about this course

Die standard duration of this master’s degree is three semesters. The first two semesters consist of lectures, exercises and practical courses before you move on to focusing on writing your master’s thesis during the third semester. The programme is application-oriented,

with subjects taught in free-standing modular components. This means you can start studying in either the summer or winter semester. The introductory module in the fundamental principles of driver assistance systems runs in both the summer and winter semester. Students starting in the winter semester can take this instead of an elective module (complementary skill).

Students starting in the winter semester can take the introductory module in the fundamental principles of driver assistance systems instead of a compulsory elective modules.

Compulsory elective modules enable you to choose the aspects you wish to specialise in. You can choose between completing your master’s thesis in either a company or one of our university laboratories.
Students can switch in either direction between full-time and part-time study. The same admission criteria apply to both options. For further information, please consult the Module Handbook (Downloads section).

The university awards students who successfully complete the programme the academic title Master of Science (M.Sc.).

The continuous development of cutting-edge driver assistance systems plays a pivotal role in making the German automotive industry internationally competitive. This generates high demand amongst automobile manufacturers and suppliers for qualified engineers with state-of-the-art specialist knowledge in this field.

Your master’s degree prepares you to play an incisive role in development and assume a demanding position in commissioning and monitoring these systems. However, the knowledge you acquire can also be used beyond the automotive sector. Sensor systems, environment recognition and sensor data fusion are major topics particularly in the aerospace industry and automation engineering. Assistance systems will also become increasingly important in medical technology as the population continues to age.

To be eligible for admission to this programme, you must have achieved a “good” overall grade in your first degree in either electrical/electronic engineering, information technology, mechanical engineering or equivalent at a German or foreign university.

All the latest information and details on applying and the admission requirements can be found under Applications and admissions.
 

We ascribe to the values of openness, tolerance and acceptance. Our aim is to teach everyone involved at Kempten University of Applied Sciences about education in an international context. As part of this aspiration, we support university-wide, inter-faculty measures to promote international projects and cross-cultural interaction.

The master’s degree programme in Advanced Driver Assistance Systems benefits from a cooperation agreement and academic exchange programme with the Shibaura Institute of Technologies in Tokyo (Japan). We also run an Erasmus exchange programme with the Master of Engineering in Connected and Autonomous Vehicles at the Institute of Technology Sligo in Ireland.

Are you interested in learning more about options for you to study abroad? More about opportunities for studying abroad.

We compile all study programme and examination regulations centrally for you. There you will find all versions and changes. continue

Programme with extended practice

Study this Master's programme combined with in-depth practical studies! Your regular studies are combined with intensive practical phases, based on the course content. The offer is aimed at both regular, non-dual and dual Bachelor graduates who have completed a combined study programme or study programme with in-depth practice.
You can find more information about the offers here.

Modules at a glance

Compulsory modules
FA101 Fundamental principles of advanced driver assistance systems 
FA102 Development and test methods for driver assistance systems 
FA103 Real-time systems 
FA104 Optical sensor systems 
FA105 Multimodal sensor networks 
FA201 Vehicle dynamics
FA202 Computer Vision 
FA203 BUS systems

Compulsory elective modules
FA204 Sensor technology 
FA205 Microcontrollers 
FA206 Model-based controller development 

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