Module: Financial Economics for Data Scientists
This certificate module combines two complementary short courses in a structured learning path.
Participants gain a broad understanding of financial economics and financial data science, covering core economic principles of financial markets, data-driven analytical methods, and fundamental techniques in financial data science.
General Information
| Dates | Feb 22-Mar 5, 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
Financial Economics
Participants gain a broad understanding of financial economics, covering the analysis and evaluation of complex investment projects, optimal decision-making under diverging strategic interests, and the ethical considerations of capital markets.
| Date | Feb 22-26, 2027 |
| Duration | 5 days |
Fundamentals of Financial Data Science
Participants gain a broad understanding of financial data science, covering classical algorithmic and Python-based data science tools, development of analytical applications, and regression and classification methods.
| Date | Mar 1-5, 2027 |
| Duration | 5 days |
How the Courses Fit Together
Participants first develop foundational knowledge in financial economics and financial data science, covering investment analysis, decision-making under strategic interactions, and core data science methods such as regression and classification, then deepen their understanding through algorithmic and Python-based tools for building applications and applying data-driven models in financial contexts.
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.