Decision Modeling (+ Computer Tutorials)
Certificate Course - Management & Leadership - MM_MSc.5.1.I25
| Date | Dec 7-9, 2026 |
| Duration | 3 days |
| Location | On campus - Karlsruhe |
| Language | English |
| ECTS | upon request |
| Cost | 2,050 € |
Fundamentals
Understand theoretical and practical modeling techniques for quantitative decision-making and system behavior in industrial contexts.
Technology
Apply decision support software and computational tools to model, analyze, and solve optimization problems.
Applications
Use modeling and software in real-world scenarios to evaluate solutions and identify practical uses of decision support systems.
What you'll explore
- Understand how real-life problems can be described and solved using decision support models, focusing on formal modeling methods for business and industrial applications.
- Learn key approaches to quantitative decision-making, with an emphasis on designing and operating systems under scarce resources.
- Explore a range of modeling concepts, including mathematical programming, queueing systems, multi-criteria decision-making, and scheduling, each with distinct application areas.
- Apply these concepts in a software laboratory, gaining hands-on experience with tools for modeling, optimization, simulation, and decision support.
- Model and solve practical problems from domains such as supply chain management, logistics, and healthcare using real data and computational tools.
- Assess the limitations of modeling approaches and develop an understanding of practical challenges and future research directions in decision modeling.
Your key takeaways
- Understand and explain basic modeling techniques for quantitative decision-making.
- Formalize decision and optimization problems using decision support models.
- Extend decision models to real-world conditions to develop advanced models for industrial applications.
- Apply decision support software systems to solve quantitative decision and optimization problems.
- Recognize the limits of computer-supported problem solving based on complexity considerations.
Taught by recognized experts in Decision Modeling
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. Stefan Nickel
Prof. Dr. Stefan Nickel is a professor at the Karlsruhe Institute of Technology and a lecturer at the HECTOR School of Engineering and Management. His research focuses on operations research, optimization, and decision support, particularly in logistics, healthcare, and public sector applications. He has published extensively and contributes to executive education by linking advanced modeling methods with practical decision-making in industry.
Who should attend
This course is particularly beneficial for professionals in the following fields
- Quantitative and Operations Professionals
Engineers, analysts, and specialists involved in modeling, optimization, and data-driven decision-making in complex industrial systems. - Supply Chain and Logistics Professionals
Managers and consultants working in supply chain management, logistics, and operations, focusing on efficiency, resource allocation, and process optimization. - IT and Decision Support Professionals
Software specialists and data professionals applying decision support systems, simulation, and optimization tools to solve business problems. - Strategy and Planning Roles
Professionals engaged in strategic and operational planning, using quantitative models to support decision-making under constraints and uncertainty. - Early-Career Professionals and Researchers
Graduates, PhD candidates, and academic staff in engineering, operations research, or business seeking to strengthen competencies in decision modeling and computational methods.
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.