Certificate Program: Processes, Methods and Tools of Systems Engineering
This certificate program combines five complementary short courses in a structured learning path.
Participants who successfully complete the Certificate Program and pass the final examination receive the corresponding ECTS credits. These credits are fully recognized as one module within the HECTOR School Master of Science program.
Participants build a broad understanding of processes, methods, and tools of systems engineering, covering fundamentals of systems engineering, modeling and simulation, big data management, process models and associated assessments, and a practical case study in embedded systems development. The program further explores how structured development processes, model-based methods, simulation, and data-intensive engineering interact to enable the efficient design, analysis, and governance of complex, high-performance technical systems across their lifecycle.
General Information
| Date | Nov 16 - 27, 2026 |
| Duration | 10 days |
| Location | On campus - Karlsruhe |
| Language | English |
| ECTS | 6 |
| Cost | 3,950€ |
Further questions?
Martina Waldner
Senior Program Consultant
info∂hectorschool.kit.edu
+49 721 608 47880
Program Structure
This certificate module combines five complementary short courses in a structured learning path.
Participants build a broad understanding of processes, methods, and tools of systems engineering, covering fundamentals of systems engineering, modeling and simulation, embedded systems development case studies, process models and associated assessments, and big data management. The module further explores how structured development processes, model-based methods, simulation, and data-intensive engineering interact to enable the efficient design, analysis, and governance of complex technical systems.
Fundamentals of Engineering
Introduction to Fundamentals of Systems Engineering, covering core concepts of holistic system lifecycle management, requirements engineering, architecture and design principles, and approaches for coordinating disciplines, stakeholders, and processes in the development of complex technical systems.
| Date | Nov 16 - 17, 2026 |
| Duration | 2 days |
Big Data Management
Introduction to Big Data Management, covering core concepts of large-scale data architectures, storage and processing frameworks, and approaches for organizing, integrating, and exploiting high-volume, high-velocity data to support analytics and data-driven decision-making in complex systems.
| Date | Nov 18 - 19, 2026 |
| Duration | 2 days |
Modeling and Simulation
Introduction to Modeling and Simulation, covering core concepts of system abstraction, mathematical and computational modeling, and simulation-based analysis to design, evaluate, and optimize complex technical systems across their lifecycle.
| Date | Nov 20 - 24, 2026 |
| Duration | 3 days |
Case Study in Embedded Systems Development
Introduction to Case Study in Embedded Systems Development, covering core concepts of model-based and systematic embedded system design, integration of hardware and software components, and practical applications for developing, analyzing, and validating embedded systems in real-world project scenarios.
| Date | Nov 16 - 17, 2026 |
| Duration | 2 days |
Process Models and Associated Assesments
Introduction to Process Models and Associated Assessments, covering core concepts of systems engineering process models, maturity and capability assessments, and approaches for evaluating, improving, and governing development processes in complex engineering projects.
| Date | Nov 26 - 27, 2026 |
| Duration | 1,5 days |
Who should attend
This module is designed for professionals seeking a structured introduction to processes, methods, and tools of systems engineering.
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Systems engineers and technical project leads
Professionals responsible for specifying, designing, and coordinating complex technical systems across disciplines and lifecycle phases. -
Engineers in embedded and cyber-physical systems development
Hardware and software engineers working on embedded systems who want to apply systematic methods, modeling, and simulation in development projects. -
Process and methods engineers
Specialists designing, assessing, or improving development processes, including process models, maturity assessments, and quality-oriented workflows. -
Data and IT professionals in engineering contexts
Data engineers, IT architects, and tool specialists dealing with big data management, model repositories, or toolchains in systems engineering. -
Product developers and R&D professionals
Experts involved in the conception, development, and validation of innovative technical products who seek a methodical systems engineering toolkit. -
Researchers and academics
PhD candidates, postdoctoral researchers, and academic staff in systems engineering, computer science, or related fields aiming to deepen their understanding of processes, methods, and tools in modern systems development. -
Technology consultants and transformation leaders
Consultants and managers advising organizations on systems engineering practices, process improvement, and the introduction of model-based and data-driven development approaches.
Ready to join the full certificate program?
Book the complete module to benefit from a coherent learning journey across all five certificate courses.