Master Class Enterprise Data Management
Start date
- 08.09.2026
Training days
- 3 days
Location
- Antwerp
Language
- English
Price
- Year 1: €3.500
End-to-end outcomes
You’ll learn how data management enables business strategy and digital transformation, apply frameworks like DAMA DMBOK.
Practice-driven learning design
The elective blends scientific theory with practical frameworks and real-world stories.
Modular format with expert faculty
A 3-day program built around five modules (Foundations; Data Quality & Models; Architecture & Platforms; Governance & Compliance; Value Realization) plus industry guests.
Program
In our view, data is an important topic in society and therefore also for each of the four master programs. Main trends in society and organisations in both the private and public sectors are “powered by data”. Examples are data-driven decision making, sustainability reporting, AI, and data science. In light of our vision of opening minds to impact the world, it is important to note that these developments also spark debates about data handling ethics and the use of data for nefarious purposes.
Turn data into strategic value. In this three-day elective, you’ll explore how data management drives innovation, compliance, and digital transformation. Through interactive sessions, case studies, and industry insights, you’ll learn to connect data strategy directly to business strategy.
Curriculum
Module A: Foundation of Enterprise Data Management
Build a solid understanding of how data becomes a strategic asset. Explore the fundamentals of enterprise data management, key frameworks like DAMA DMBOK, and how data supports your organization’s mission and strategy.
You’ll learn to:
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Grasp the strategic role of data management in business performance.
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Distinguish between data management, data governance, and data strategy.
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Recognize how data enables digital transformation and value creation.
Module B: Data Quality and Data Models
Strong data quality and effective data models lead to better decisions. Learn to design and manage data that’s reliable, consistent, and valuable for analytics and operations.
You’ll learn to:
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Define what high-quality data means for your organization.
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Apply data quality principles to real business processes.
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Use data modeling techniques to support analytics and reporting.
Module C: Architecture and Platforms
Discover the technological backbone of data-driven organizations. From system integration to data lakes and analytics platforms, you’ll explore how architecture enables insight and scalability.
You’ll learn to:
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Identify how IT systems, data, and business processes interconnect.
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Compare architectural approaches that support analytics and data science.
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Evaluate emerging trends like data mesh and data fabric.
Module D: Data Governance and Compliance
Manage data responsibly and ethically. This module covers governance frameworks, GDPR, and accountability in modern data ecosystems.
You’ll learn to:
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Design governance structures aligned with organizational goals.
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Weigh centralized vs. federated governance models.
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Apply compliance standards and assess ethical implications of data use.
Module E: Value Realization
Turn theory into impact. Through industry cases and group projects, you’ll learn how to identify, prioritize, and deliver data-driven value.
You’ll learn to:
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Develop and evaluate data strategies that create measurable impact.
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Translate theory into practice through real-world projects.
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Present and defend recommendations to peers and stakeholders.
Faculty
Practical information
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Location: On-campus at Antwerp Management School,
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Experience: Light, bright campus with a vibrant community of students, professionals, and academic staff
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Dates: 8, 9, and 15 September 2026
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Fee: €3,500 (includes all course materials)
A question about the program?
Contact us for more information.
