Automated Driving and Vehicle Safety (M. Eng.)

Automated driving has the potential to drastically change the mobility of the future and thus the automotive industry. Due to the broad spectrum of challenges, the development of automated driving is a particularly interdisciplinary field and requires in-depth knowledge of both engineering and computer science. The Master's degree programme addresses this need in order to qualify students for the development of systems for safe automated driving. In addition, the theoretical-scientific basis of the students is to be broadened to enable them to pursue a doctorate or work in the scientific field.

Degree
Master of Engineering (M. Eng.)
Duration
3 Semester
Start of studies
Summer & Winter
NC
Yes

Accreditation
ASIIN
Language
German & English

The Master's programme "Automated Driving and Vehicle Safety" comprises two full-time semesters. The third semester is used to write the Master's thesis, which can also be written in a company as part of the practical work. The modules of the study programme are mainly held in German and are supplemented by some courses in English.

Structure

The modules of the Master's programme were defined with the aim of further qualifying students in three areas important to the development of automated and safe driving systems:

components: Automated driving has an impact on all areas of the vehicle: drive, brake, steering, display instruments, navigation and sensors as well as networking inside and outside the vehicle. What is needed is a deep understanding of the components of these areas.
concepts: Automated vehicles must recognize patterns, make smart decisions, and process a variety of data based on image and sensor data to navigate the street. The basis of every development and further development of such systems are knowledge of the concepts of machine learning in connection with those of integrated vehicle safety.
methods: Of crucial importance for the successful realization of automated driving systems are methods of creating a system architecture or a functional safety concept, methods of test concepts and their management as well as the performance of tests and simulations.

Curriculum

1. Semester

Vehicle Actuators and Environmental Sensors

Car2x-Communication

Knowledge Modeling and Machine Learning

Science and Ethic

Elective

2. Semester

System Architectures and their Development

Simulation and Test of Functions of Automated Driving

Software Development for Functions of Autom. Driving

Integral Safety

Project

Elective

3. Semester

Master's Thesis

Quick Info

Admission and application

Applying for a degree course
The programme starts in summer term (March 15th) as well as in winter term (October 1st). Please find all information on our master application pages

Application periods
November 15th – January 15th in case of admission for the summer term;
May 2nd – July 15th in case of admission for the winter term

Admission
The prerequisite for admission to the Master's programme is a degree in engineering science, computer science or a related field with at least 210 ECTS credits.

Qualified applicants are subject to a suitability procedure in which an overall grade is determined for the ranking of the admission procedure, consisting of

the final grade of the Bachelor's programme with weight 0.6
a grade with a weight of 0.4, with which a subject-specific suitability, independent scientific work and experience in the field of the design of mechatronic systems is evaluated and determined on the basis of the following criteria:
- Knowledge in the areas of automotive engineering, control engineering, signal processing, sensors / actuators, modeling and simulation of mechatronic systems, electronics, microcomputer technology, programming, methods of artificial intelligence
- Practical experience (comparable to a practical semester) in the field of designing or testing mechatronic systems including their software development
- Project work in the Bachelor's programme with a thematic reference to the vehicle or methods of vehicle automation, which required knowledge of the areas design of mechatronic vehicle components, control engineering, electronics, modeling / simulation, control devices and their programming, methods of artificial intelligence.

The aptitude is considered to have been determined if the aptitude test is rated at least with the overall grade "good" (2.5).

Dual studies or studies with in-depth practical

Study and examination regulations (SPO) deal with judicial matters concerning your study course. Please turn to the pages of the legal department for Statutes of this course.

For any questions on requirements, exams regulations and more, please turn to the Service Center Study Affairs.

Job profiles

The job profile of the graduates is characterized by tasks in the areas of research and development of algorithms, safety concepts, sensor/actuator systems for safe, automated driving.

Admission requirements

Admission to the master's program requires a degree in an engineering discipline, computer science or a related field with at least 210 ECTS credits.

Since the main language of instruction is German, applicants from abroad must provide proof of German language skills at level B2. English language skills do not have to be proven separately.

Contact student counselling

All about application, enrollment and examination

Apply online

Programme director and Academic advisor

Scientific director AImotion Bavaria; Programme director and Academic Advisor "Automated Driving and Vehicle Safety" (Master)
Prof. Dr.-Ing. Michael Botsch
Phone: +49 841 9348-2721
Room: A114
E-Mail: Michael.Botsch@thi.de

Module Handbook

The module handbook (MHB) is the guide to all modules in the Master programme. It contains information on prerequisites, contents, learning outcomes, ECTS points, duration, work load, literature and references.

module handbook (german language)

Study and Examination Regulations