Impact Data Management:
In this course, you will learn how to harness data for decision-making with a focus on measurable sustainability impact. You will explore how to integrate data science into organizations and use data not only to drive business value, but also to support responsible and sustainable innovation.
You will gain hands-on experience building statistical models, identifying AI opportunities, and applying sustainability metrics in real-world business scenarios. Also critically assess the ethical implications and governance challenges of working with data at scale.
By the end of the course, students will be equipped to lead data-driven initiatives that support sustainability goals, strategic planning, and long-term organizational impact.
Award-Winning Project-Based Learning at XU Exponential University
We are proud to be recognized by Statista.de, Germany’s leading statistics and data insights platform, as one of the top providers of continuing education.
At XU Exponential University, we are committed to delivering a future-facing, high-impact learning experience that equips professionals with the skills they need to thrive in a rapidly evolving world.
Our programs are rooted in Project-Based Learning application, cutting-edge content, and a collaborative environment that encourages innovation at every level.
11.07.2025 – 09.08.2025
Online certification course:
Tuition fees
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Standard: EUR 950.00
Module
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5 ECTS
Instructor:
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Prof. Dr. Martin Hillebrand
Certificate:
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Take this module to earn a Nano Degree (5 ECTS), add one more for an Advanced Certificate (10 ECTS).
Venue:
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Course may be attended in presence at XU Exponential University Campus or Online.
Your Professor
Prof. Dr. Martin Hillebrand
Professor of Quantitative Methods
About
Prof. Dr. Martin Hillebrand is a specialist in quantitative finance, sustainable investing, and fintech innovation. He brings over 15 years of high-level experience from institutions such as the European Stability Mechanism, Deutsche Bank, and the German Finance Agency, where he led risk and capital market analysis on multi-billion-euro portfolios.
Currently a Professor of Quantitative Methods at XU Exponential University, Prof. Hillebrand holds a doctorate in Mathematics and has published widely on credit risk, bond market dynamics, and robust statistical methods. His research focuses on sustainable finance, capital market behaviour, and the ethical application of data and AI in financial systems.
Key Learning Outcomes (5 ECTS)
- Understand the opportunities and limitations of data-driven decision-making in real-world business contexts
- Develop and apply statistical models to solve data-driven problems and support strategic planning
- Evaluate the ethical dimensions of data use and apply principles of governance in analytics workflows
- Identify AI opportunities and understand the skillsets required for data-focused roles (e.g. engineers, translators, architects)
- Measure sustainability using key indicators and apply them in tools such as life cycle assessments
- Use sustainability-oriented controlling instruments to support data-informed environmental and business decisions
What are my advantages?
Learn how to use statistical models and data science methods to drive strategic decisions and measurable outcomes within your organization.
Understand the role of governance and ethics in data analysis and how to ensure responsible use of AI and data technologies.
Bridge the gap between sustainability management and data by applying key metrics and life cycle assessment tools to real business challenges.
Gain cross-functional insights into the roles, tools, and skills that define modern data teams—from analytics translators to AI architects.
Certification and Format
- Weekend Format: 6 full teaching days over 3 weekends (Fri/Sat, 09:00–17:45).
- Certificate: Take this module to earn a Nano Degree (5 ECTS), add one more for an Advanced Certificate (10 ECTS).
- Program Standards: Follows admissions, study and exam regulations of the M.A. in Digital Transformation and Sustainability.
- Modular Entry: Option to transfer credits toward the M.A. in Digital Transformation and Sustainability via fast-track admissions.
- Venue: Course may be attended in presence at XU Exponential University Campus or Online
- Current XU Exponential Masters students can apply.
Designed for
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Data analysts, scientists, and strategists working at the intersection of business and sustainability
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Professionals aiming to apply data-driven methods to ESG, impact reporting, or innovation strategy
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Managers seeking to integrate ethical AI and analytics into decision-making processes
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Sustainability officers and consultants looking to leverage data for measurable environmental outcomes
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Anyone interested in aligning data science with real-world impact and responsible leadership
Any questions?
Our representatives will be happy to help you!
Dr. Henrik Schober-Oschmann
Vice President Innovation and Development