Module: Machine Learning for Data-Driven Decision Making
This certificate module combines three complementary short courses in a structured learning path.
Participants build a broad understanding of machine learning for decision-making, from foundational models and learning principles to financial machine learning techniques and advanced kernel and Bayesian methods.
General Information
| Dates | June 8–19, 2026 |
| 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 three 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
Machine Learning for Decision Makers
Introduction to machine learning models, learning principles, and decision-oriented analytical methods.
| Date | June 10–11, 2026 |
| Duration | 2 days |
Fundamentals of Financial Machine Learning
Applied financial machine learning methods using Python for prediction and volatility analysis.
| Date | Jun 08-09 and Jun 12-17 , 2026 |
| Duration | 5 days |
Kernel and Bayesian Methods in Machine Learning
Advanced kernel and Bayesian methods for data description, semi-parametric forecasting, and probabilistic reasoning.
| Date | Jun 18-19, 2026 |
| Duration | 2 days |
How the Courses Fit Together
Participants first build a foundation in machine learning models and learning principles, then explore financial machine learning techniques for forecasting and market analysis, and finally deepen their knowledge through kernel and Bayesian methods.
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 all three certificate courses.
About HECTOR School
HECTOR School, the Technology Business School of the Karlsruhe Institute of Technology (KIT), is a leading provider of executive education in technology-driven fields.
For this course, participants who successfully complete the examination can earn a KIT certificate with ECTS credits, which may be credited toward our Executive Master of Science or Advanced Studies Programs, subject to content alignment.