Blockchain Technology
Certificate Course - Financial Engineering - FE.1.2.I26
| Date | Nov 23, 2026 |
| Duration | 1 day |
| Location | On campus - Karlsruhe |
| Language | English |
| ECTS | Upon request |
| Cost | 990 € |
Fundamentals
Understand how blockchain systems work, including decentralized structures, consensus mechanisms, and their strengths and limitations in real-world use.
Technology
Explore core blockchain technologies, architectures, and protocols, focusing on how they are designed and implemented for secure, scalable applications.
Applications
Learn how to apply blockchain in business contexts, evaluate use cases, and assess its potential to create value across industries.
What you´ll explore
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Explore how blockchain systems function, from decentralized architectures to consensus mechanisms and data integrity.
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Understand the strengths and limitations of blockchain technology from both IT and business perspectives.
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Learn how blockchain can be leveraged to create value and transform business models across industries.
Your key takeaways
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Solid understanding of how blockchains work and their core components
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Ability to evaluate strengths and weaknesses of blockchain solutions
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Knowledge of key blockchain architectures and consensus mechanisms
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Skills to identify and assess business use cases for blockchain
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Understanding of how to apply blockchain in real-world business contexts
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Insight into the economic and strategic potential of blockchain technology
Taught by recognized experts in Blockchain Technology
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. Marcel Müller
Dr. rer. pol. Marcel Müller is a researcher and lecturer in finance at the Karlsruhe Institute of Technology (KIT), where he earned his PhD in Finance in 2020. His research focuses on asset pricing, asset management, and decentralized finance, using econometric and machine-learning methods to study bonds, funds, and ETFs and how risks propagate across financial markets.
He brings practical experience from consulting, banking, and SMEs, with a strong focus on financial analysis, reporting, and data-driven decision-making.
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.