Accident analysis
Accident analysis
When fractions of a second decide lives, responsibility and justice, every detail counts. The part-time Master's degree programme in Accident Analysis (M. Eng.) combines engineering, scientific, technical and IT-based skills to create a unique interdisciplinary course that uses technical knowledge specifically to objectively investigate and assess road accidents.
The aim is to enable experts to reconstruct complex accident events using state-of-the-art methods, analyse data precisely and make scientifically sound statements, whether for expert opinions in court, insurance companies or in vehicle development.
The degree programme is therefore aimed at experts who want to take on responsibility and contribute to greater transparency and road safety with analytical acuity, technical precision and scientific expertise.
Curriculum Accident analysis
1st Semester
Fahrzeugtechnik
Methodenkompetenz & Sozialkompetenz
Rechtliche Grundbegriffe
Fahrzeugsicherheit und automatisiertes Fahren
Moderne Antriebe
Dynamik von Verkehrsteilnehmern
Gutachtenerstellung und Rhetorik
Biomechanik und medizinische Grundlagen
Unfallaufnahme und -analyse
Digitalforensik
Unfallrekonstruktion
Recht in der Forensik
Masterarbeit
| 1. Semester | |
|---|---|
| 2. Semester | |
| 3. Semester | |
| 4. Semester | |
| 5. Semester |
- Proof of successful completion of a degree in engineering, natural sciences, technology or computer science at a German university or a comparable degree with at least 210 ECTS credits or equivalent or an equivalent successful domestic or foreign degree
- Proof of at least one year of relevant, qualified professional experience after graduation
Any questions?
Do you have any questions about applications, admission, enrolment, student finance, accommodation or other general topics? If so, please use our contact form and select the relevant topic. This will ensure your enquiry is sent directly to the relevant contact person(s) and can be answered quickly and effectively.
Study programme director
-
Prof. Dr.-Ing. Thomas Helmer
Study programme director
-
Prof. Dr.-Ing. Alexander Gelner
Other programmes you may be interested in
-
Automated Driving and Vehicle Safety
Master of Engineering (M. Eng.)
Autonomous vehicles and self-driving systems are set to transform the future of mobility. Ensuring the safety of all road users remains a key priority in this rapidly evolving field. In this Master’s programme, you will deepen your expertise in computer science and engineering while exploring the technologies behind automated and connected driving. Studying at one of Bavaria’s leading research universities, you will engage with cutting-edge developments in areas such as artificial intelligence, sensor technologies, vehicle systems, and autonomous mobility, preparing you for advanced roles in research, development, and the automotive industry.
About the degree program -
Automotive Production Engineering & Artificial Intelligence
Master of Engineering (M. Eng.)
How are intelligent production processes for the mobility of the future developed? In this master’s program, you’ll combine modern manufacturing technologies with artificial intelligence methods to develop solutions for efficient, connected, and innovative production environments.
About the degree program -
Automotive Engineering & Technology
Master of Engineering (M. Eng.)
The mobility of tomorrow is born where innovative technologies meet sound engineering. In the Master’s program in Automotive Engineering & Technology, you’ll explore modern vehicle concepts, connected systems, and cutting-edge developments in the automotive industry.
About the degree program -
Electromobility and vehicle electrification
Master of Engineering (M. Eng.)
The future of mobility will be shaped by electric propulsion systems. The part-time degree programme in Electric Mobility and Vehicle Electrification focuses on energy storage, high-voltage architectures and innovative vehicle concepts for the next generation of sustainable mobility.
About the degree program
Accident analysis
When fractions of a second decide lives, responsibility and justice, every detail counts. The part-time Master's degree programme in Accident Analysis (M. Eng.) combines engineering, scientific, technical and IT-based skills to create a unique interdisciplinary course that uses technical knowledge specifically to objectively investigate and assess road accidents.
The aim is to enable experts to reconstruct complex accident events using state-of-the-art methods, analyse data precisely and make scientifically sound statements, whether for expert opinions in court, insurance companies or in vehicle development.
The degree programme is therefore aimed at experts who want to take on responsibility and contribute to greater transparency and road safety with analytical acuity, technical precision and scientific expertise.
Curriculum Accident analysis
1st Semester
Fahrzeugtechnik
Methodenkompetenz & Sozialkompetenz
Rechtliche Grundbegriffe
Fahrzeugsicherheit und automatisiertes Fahren
Moderne Antriebe
Dynamik von Verkehrsteilnehmern
Gutachtenerstellung und Rhetorik
Biomechanik und medizinische Grundlagen
Unfallaufnahme und -analyse
Digitalforensik
Unfallrekonstruktion
Recht in der Forensik
Masterarbeit
| 1. Semester | |
|---|---|
| 2. Semester | |
| 3. Semester | |
| 4. Semester | |
| 5. Semester |
- Proof of successful completion of a degree in engineering, natural sciences, technology or computer science at a German university or a comparable degree with at least 210 ECTS credits or equivalent or an equivalent successful domestic or foreign degree
- Proof of at least one year of relevant, qualified professional experience after graduation
Any questions?
Do you have any questions about applications, admission, enrolment, student finance, accommodation or other general topics? If so, please use our contact form and select the relevant topic. This will ensure your enquiry is sent directly to the relevant contact person(s) and can be answered quickly and effectively.
Study programme director
-
Prof. Dr.-Ing. Thomas Helmer
Study programme director
-
Prof. Dr.-Ing. Alexander Gelner
Other programmes you may be interested in
-
Automated Driving and Vehicle Safety
Master of Engineering (M. Eng.)
Autonomous vehicles and self-driving systems are set to transform the future of mobility. Ensuring the safety of all road users remains a key priority in this rapidly evolving field. In this Master’s programme, you will deepen your expertise in computer science and engineering while exploring the technologies behind automated and connected driving. Studying at one of Bavaria’s leading research universities, you will engage with cutting-edge developments in areas such as artificial intelligence, sensor technologies, vehicle systems, and autonomous mobility, preparing you for advanced roles in research, development, and the automotive industry.
About the degree program -
Automotive Production Engineering & Artificial Intelligence
Master of Engineering (M. Eng.)
How are intelligent production processes for the mobility of the future developed? In this master’s program, you’ll combine modern manufacturing technologies with artificial intelligence methods to develop solutions for efficient, connected, and innovative production environments.
About the degree program -
Automotive Engineering & Technology
Master of Engineering (M. Eng.)
The mobility of tomorrow is born where innovative technologies meet sound engineering. In the Master’s program in Automotive Engineering & Technology, you’ll explore modern vehicle concepts, connected systems, and cutting-edge developments in the automotive industry.
About the degree program -
Electromobility and vehicle electrification
Master of Engineering (M. Eng.)
The future of mobility will be shaped by electric propulsion systems. The part-time degree programme in Electric Mobility and Vehicle Electrification focuses on energy storage, high-voltage architectures and innovative vehicle concepts for the next generation of sustainable mobility.
About the degree program