Certificate Program: Machine Learning for Data-Driven Decision Making
This certificate program combines three complementary short courses in a structured learning path.
Participants who successfully complete the Certificate Program and pass the final examination receive the corresponding ECTS credits. These credits are fully recognized as one module within the HECTOR School Master of Science program.
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 AI-driven service innovation and business transformation, with a focus on digital services, service design, and applied AI methodologies.
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Service designers and UX professionals interested in creating innovative digital services using human-centered design and iterative prototyping
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Product managers and innovation leaders responsible for developing, validating, and scaling data-driven service offerings in competitive markets
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Data scientists and AI engineers seeking to implement machine learning models within service ecosystems, from design to deployment and monitoring
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Business strategists and consultants advising organizations on digital transformation, business model innovation, or service automation strategies
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IT architects and digitalization experts working on platform-based solutions, cloud services, or AI-enabled infrastructures in enterprise environments
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Entrepreneurs and intrapreneurs building new service ventures or transforming existing business models with AI and data-driven approaches
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Researchers and academics in service systems, digital business, or AI applications exploring the intersection of service design, machine learning, and business innovation
Ready to Join the Full Certificate Program?
Book the complete module to benefit from a coherent learning journey across all three certificate courses.