Module: Engineering Aspects of Financial Markets
This certificate module combines two complementary short courses in a structured learning path.
Participants gain a broad understanding of financial engineering, covering core principles of financial markets, fundamental engineering methods, and derivatives with the valuation of optionality.
General Information
| Dates | Jun 12-23, 2027 |
| Duration | 10 days |
| Location | On campus - Karlsruhe |
| Language | English |
| ECTS | 8 |
| Cost | 4,980 € |
Further questions?
Martina Waldner
Senior Program Consultant
info∂hectorschool.kit.edu
+49 721 608 47880
Program Structure
The full certificate module consists of two interconnected short courses. While each course can be attended individually, the complete module offers a coherent learning journey from foundational concepts to advanced machine learning applications
Derivatives and Value of Optionality
Derivatives and optionality valuation; option pricing, hedging strategies, and timing considerations
| Date | Jul 16 - 23 |
| Duration | 6 days (Fr. to Fr.) |
Fundamentals of Financial Engineering
Deterministic and stochastic methods for financial engineering; market modeling, derivatives, and valuation principles
| Date | Jul 12-15, 2027 |
| Duration | 4 days |
How the Courses Fit Together
Participants first build a foundation in financial engineering principles and market instruments, then develop an understanding of derivatives, optionality, and pricing and hedging methods, and finally deepen their knowledge of timing effects in financial decision-making and advanced valuation concepts.
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
Ready to Join the Full Module?
Book the complete module to benefit from a coherent learning journey across the two certificate courses.