Risk-Aware Decisions (+ Case Studies + Finance)
Certificate Course - Management & Leadership - MM_MSc.5.2.I26
| Date | Dec 9 - 10, 2027 |
| Duration | 2 days |
| Location | On campus - Karlsruhe |
| Language | English |
| ECTS | upon request |
| Cost | 1,550 € |
Fundamentals
Understand uncertainty in business processes, risk concepts, and their growing importance in decision-making and supply chain contexts.
Technology
Analyze decision-support and optimization models that incorporate risk and uncertainty in complex, interconnected systems.
Applications
Apply risk-aware decision-making to real-world disruptions and improve preparedness for uncertain developments in business environments.
What you'll explore
- Understand risk through real-world cases that illustrate how disruptive events create cascading effects across time and networks.
- Learn key risk-related concepts and basic modeling principles to capture uncertainty.
- Analyze decision-support models designed to address risk, including facility location, allocation, inventory, and network flow models.
- Examine methodologies such as stochastic programming, robust optimization, and chance-constrained models to manage uncertainty effectively.
Your key takeaways
- Evaluate corporate investment projects from a financial perspective.
- Gain a thorough understanding of the main principles of business finance.
- Assess the value of business enterprises.
Taught by recognized experts in Risk-Aware Decisions
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.
Dr.-Ing. Iris Heckmann
Dr.-Ing. Iris Heckmann is a leading expert in supply chain resilience, risk analytics, and decision intelligence. She works at the intersection of operations research, optimization, and real-world supply chain management to transform uncertainty into strategic advantage. Since 2008, she has advised global organizations in pharma, healthcare, chemicals, and manufacturing. Her research pioneered supply chain risk analytics and is captured in her book “Towards Supply Chain Risk Analytics.” With a Dr.-Ing. summa cum laude from KIT, she combines scientific excellence with practical impact in building resilient, data-driven supply networks.
Who should attend
This course is particularly beneficial for professionals in the following fields
- Finance and Risk Management Professionals
Financial analysts, controllers, and specialists involved in risk assessment, financial planning, and decision-making under uncertainty. - Corporate Finance and Strategy Professionals
Managers, consultants, and business leaders responsible for integrating risk considerations into investment decisions, value creation, and strategic planning. - Investment and Risk Analysis Professionals
Professionals working in investment analysis, corporate valuation, and financial consulting with a focus on risk-aware decision-making and uncertainty modeling. - Decision-Making and Planning Roles
Professionals at the interface of finance, operations, and strategy, applying quantitative models and case-based insights to manage risk and complexity. - Early-Career Professionals and Researchers
Graduates, PhD candidates, and academic staff in finance, economics, or business seeking to strengthen competencies in risk-aware decision-making and applied case analysis.