Financial Economics
Certificate Course -Financial Engineering - FE.2.1.I26
| Date | Nov 16-17, 2026 |
| Duration | 2 days |
| Location | On campus - Karlsruhe |
| Language | English |
| ECTS | Upon request |
| Cost | 1,550 € |
Course prerequisites - Completion of the MM 2 course “Strategic Financial Management” and EM1 is recommended.
Fundamentals
Understand valuation models, financial structure, payout policies, and how strategic and ethical factors influence financial decisions.
Technology
Apply valuation, capital structure, and payout models to complex investments, firms, and mergers, integrating strategic interaction analysis.
Applications
Evaluate investment projects, corporate takeovers, bond auctions, and trading strategies, considering ethical impacts on financial outcomes.
What you´ll explore
- Explore valuation models and their application to corporate investments and mergers and acquisitions.
- Understand financial structure and payout policies and how they shape firm-level decision-making.
- Learn how strategic interactions influence outcomes in financial markets and corporate environments.
- Analyze real-world cases such as corporate takeovers, Treasury bond auctions, and predatory trading.
- Examine the role of ethics in internal and external capital markets and financial decision-making.
Your key takeaways
- Strong understanding of valuation models and their practical applications
- Ability to evaluate complex investment projects and corporate acquisitions
- Knowledge of financial structure and payout policy decisions
- Skills to analyze strategic interactions in financial markets
- Insights into ethical considerations and their impact on financial outcomes
- Competence in optimizing financing strategies for firms and major projects
Taught by recognized experts in Financial Economics
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. Martin Ruckes
Prof. Dr. Martin Ruckes is Professor of Finance and Banking at the Karlsruhe Institute of Technology (KIT) since 2007. He previously served as Dean of Studies for Industrial Engineering and Management. He earned his PhD from the University of Mannheim and was Assistant Professor at the University of Wisconsin-Madison.
His research focuses on corporate finance and financial intermediation, with publications in leading international journals.
Who should attend
This module is designed for professionals seeking a structured introduction to machine learning and its applications in decision-making, finance, and advanced analytical modeling.
- Decision-makers and managers interested in understanding machine learning concepts and methods
- Finance professionals seeking data-driven approaches to market analysis and forecasting
- Analysts and researchers looking to strengthen their knowledge of applied and advanced machine learning techniques
- Professionals who want a coherent learning path from foundational to specialized topics
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.