Due to rapid advances in sensor technology, algorithms, communication, electronics and actuator technology, our mobility is currently undergoing a major change. Currently, networking and electrification are still in the foreground. However, with driver assistance systems such as speed, steering and lane change warning systems, we are close to highly automated driving. Automated and networked vehicles will relieve us of routine tasks, increase traffic safety, offer new possibilities and services in public transport, and help to increase traffic efficiency and reduce environmental pollution. Future highly automated as well as autonomous vehicles will use new technologies (e.g. methods of artificial intelligence) to replace us partially or completely when navigating a vehicle from a starting point to a destination. However, road hazards must be avoided and respond to changing traffic conditions must be determined. When driving autonomously, we will only be on board as passengers and can enjoy the landscape from the side windows.
Autonomous Vehicle Engineering (B. Eng.)
Bachelor of Engineering (B. Eng.)
7 Semester
Winter
Contents
The bachelor's programme Autonomous Vehicle Engineering deals with interaction of different technologies in order to qualify engineers for the development of automated mobility systems by teaching the scientific and engineering basics and methods. Students acquire skills in fields that are characteristic for automated mobility systems:
- Sense: sensor technology, sensor systems and sensor data fusion for detection and acquisition of the environment
- Think: Processing information obtained via sensors to create a driving strategy using software and intelligent algorithms
- Act: Safe implementation of the driving strategy with the aid of forces offered by power drive, steering and braking systems and utilized by actuators
The concepts of these phases are taught in a well founded way. Laboratory internships and practical phases promote methodological competence. Group projects and seminars strengthen social and personal competence. Later, graduates with a broad interest in interdisciplinary trends in digitalised mobility will find many meaningful fields of activity.
The language of instruction of the course is English. By bringing students from all over the world together, we prepare them for cooperation in internationally composed teams and for a professional life in internationally operating companies.
Curriculum
1. Semester
Foundations of Engineering Sciences
Programming 1
Foundations of Computer Science
Mathematics1
2. Semester
Electronics, Signals and Measurement
Programming 2
Algorithms and Data Structures
Statistics
Mathematics 2
3. Semester
General Elective Subject
Digital Signal Processing
Modelling and Simulation
Vehicle Dynamics
Model-based SW-Engineering
4. Semester
Scientific Seminar
Control Engineering
Vehicle Electronics and Vehicle Communication Networks
Foundations of Machine Learning
SW-Development Processes
5. Semester
Internship
Business Management
PLV
6. Semester
Vehicle-to-X-Communication
Project
Sensor Data Processing and Sensor Data Fusion
Planning and Decision Making Algorithms
Vehicle Actuators
7. Semester
Scientific Elective Subject 1
Scientific Elective Subject 2
Scientific Elective Subject 3
Bachelor's Thesis
Thesis Seminar
Quick Info
Application
The programme Autonomous Vehicle Engineering starts in the winter semester only. Since the programme is not subject to admission restrictions, applications are submitted exclusively via the PRIMUSS-application portal THI.
Application dates
Information on the application period and the application procedure can be found here: "Application for a Bachelor study course".
Requirements
Prerequisite for admission to study at Technische Hochschule Ingolstadt is either a general or subject-related higher education entrance qualification or the entrance qualification for studies at universities of applied sciences.
In an aptitude assessment procedure, an applicant should prove whether, in addition to the qualification demonstrated by the acquisition of the university entrance qualification, the applicant is also suitable for the special qualitative knowledge and requirements of the Bachelor's programme in Autonomous Vehicle Engineering, which can be expected to lead to a successful course of study. In addition to the university entrance qualification (HZB), the following suitability requirements must be fulfilled for this course of study:
- strong, solid knowledge of mathematics, in particular the ability to think abstractly, logically and system-oriented and to formalise approaches to solutions
- competencies in the fields of natural sciences, information technology and technology
Aptitude is determined by an evaluation based on the following criteria:
- average mark of the HZB and
- subject-specific individual grades
The grades in mathematics and two highest rated subjects from the natural sciences, including computer science, which were acquired in the last four semesters prior to the acquisition of higher education entrance qualification are used as subject-specific individual grades. A total score is determine as a weighted average of these grades. If this score is equal or greater 60, suitability shall be deemed to have been established.
Here you can find further information.
There will be no tests or interviews that require personal attendance.
Please make sure that you answer the questionaire for the aptitude test of AVE, which is also available in the Primuss portal.
In the next decade, automated driving will fundamentally change the value chain in Germany and other countries. A study by Intel Corporation and Strategy Analytics shows that the economic opportunities for companies in the field of autonomous driving and especially in the transport sector will increase rapidly. Another statement by the study's authors is that "not unlike the space travel of the 1960s, autonomous driving is a reputation for attracting the best minds to meet this challenge". In addition to the engineering side, there is a high demand for experts in the field of classic IT, especially in the area of software methodology. Experts recognize the greatest need for IT specialists in the areas of networking, data management and artificial intelligence. Automotive suppliers will act as innovation drivers in this area. They also account for a proportion of research and development expenditure of the local automotive industry, which will not inconsiderable. There is a consensus in industry that autonomous driving and the associated changes also require a large number of excellently trained and qualified employees, who can be found in Germany and on international markets.
The dual studies programme enables a combination of practical training elements in a company with the theoretical education provided by the university. There is a choice of either the joint model (academic study + vocational training) or the degree course with vocational experience (academic study + intense practical phases). There is an obvious advantage to students here: practically oriented academic study generally enables a particularly smooth transition from university to the world of work. What is more, the student usually receives financial remuneration from the company concerned.
In the joint model, students may start working at the company several months before the start of the first semester, depending on the company concerned. At the start of the course there is an alternation between theory (during the semester) and practical experience (between semesters and during the practical semesters). In order to embark on a dual studies programme, students have to apply to both a company and to THI (be sure to take note of company application deadlines!).
More info on our dual studies-pages, or check dual cooperation partner companies. Even if no partner company is currently active in this degree programme, you are welcome to contact us.
Application period is May 2 to July 15 for winter term
All about application, enrollment and examination
Contact questions regarding admission: bewerbung@thi.de
Contact for programme-related questions
Prof. Dr. rer. nat. Martin Ebert
Phone: +49 841 9348-3804
Room: B205
E-Mail: Martin.Ebert@thi.de
Module Handbook
The course description contains information on prerequisites, contents, learning outcomes, ECTS points, duration, work load, literature, references of the offered modules and lectures.
Study and Examination Regulations
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.
