Model-based Systems Engineering for Automotive Systems and Data Driven Development for Automotive Systems
Certificate Course - Mobility Systems Engineering - MSE.5.4.I25
| Date | Oct 29 - 30, 2026 |
| Duration | 2 days |
| Location | On campus - Karlsruhe |
| Language | English |
| ECTS | upon request |
| Cost | 1,550€ |
Fundamentals
Introduces MBSE concepts for structuring complex automotive systems and a testing approach for autonomously learned functions across the lifecycle.
Technology
Covers data-driven development and analytics for abnormal behavior detection, release/variant/configuration management, and secure OTA update strategies.
Applications
Apply lifecycle testing before SOP and continuously in the field; design scenarios for self-learned functionality and manage complex product updates.
What you'll explore
- MBSE principles to model, structure, and manage complex automotive EE/software systems
- Requirement- and maturity‑level driven testing for self‑learned functionality (ADAS and beyond)
- Data analytics for detection of abnormal behavior and feedback into development
- Test scenario design for complex, adaptive features without fixed golden references
- Release, variant, and configuration management over product lifetime
- Secure update concepts and OTA strategies; implications for safety and cybersecurity
Your key takeaways
Participants
- Can analyze and structure tests to determine system maturity for self‑learned functions.
- Apply data analytics to identify abnormal behavior and derive test improvements.
- Set up robust test scenarios for adaptive, learning functionality.
- Understand differences between releases, variants, and configurations.
- Define and choose appropriate update techniques, including secure OTA updates.
Taught by recognized experts in Model-based Systems Engineering
Benefit from the knowledge of leading specialists with extensive experience in research and industry. Their deep expertise guarantees a course of outstanding academic and practical quality.
Prof. Dr.-Ing. Eric Sax
Prof. Dr.-Ing. Eric Sax is Professor and Head of the Institute for Information Processing Technologies (ITIV) at Karlsruhe Institute of Technology (KIT), leading cutting-edge research in systems engineering and supervising more than 50 doctoral researchers in the automotive sector. His work includes close collaboration with OEMs and Tier 1 suppliers on topics such as EE architectures, automated driving, energy management, diagnostics, and big data analytics. He also serves as Dean of the Faculty, member of the Senate, speaker of the Center for Mobility Systems, and director of innovation and research programs at KIT.
Stefan Otten
Stefan Otten, M.Sc. is Head of the Embedded Systems and Sensors Engineering (ESS) division at Karlsruhe Institute of Technology (KIT). He holds a Master’s degree in Electrical Engineering with a focus on Systems Engineering. His expertise lies in the development and validation of future vehicle systems, data-driven engineering approaches, and the application of artificial intelligence methods. Since 2015, he has led key research activities in automotive systems engineering, and since 2021 he has been responsible for the entire ESS research area. His work focuses on advancing intelligent, safe, and data-enabled embedded systems for next-generation mobility solutions.
Who should attend
- Systems engineers, software architects, and test leads in automotive EE/software.
- ADAS/automated driving teams working with self‑learning features and field updates.
- Process owners and project managers handling release/variant/configuration management.
- Researchers and early‑career engineers in MBSE, data analytics, and automotive software.
Advance your career with KIT-level expertise
Benefit from the reputation of the Karlsruhe Institute of Technology (KIT) while gaining practical skills, flexible learning opportunities, and a recognized certificate to support your long-term professional growth
Flexibility
Gain focused expertise in a specific field without committing to a full degree program, allowing you to build relevant knowledge efficiently and integrate learning seamlessly into your professional routine.
Relevance
Benefit from high-quality academic content combined with practical insights, delivered by experienced experts, supporting continuous, lifelong learning while ensuring direct applicability in real-world scenarios.
Advancement
Enhance your professional profile with a recognized certificate, demonstrating your commitment to ongoing development and supporting your career with tangible, verifiable credentials.
About HECTOR School
HECTOR School, the Technology Business School of the Karlsruhe Institute of Technology (KIT), is a leading provider of executive education in technology-driven fields.
For this course, participants who successfully complete the examination can earn a KIT certificate with ECTS credits, which may be credited toward our Executive Master of Science or Advanced Studies Programs, subject to content alignment.