Learning path
The most comprehensive course to become a senior data management professional.
ENROLL BY
Dec June 1st, 2025
MODULE STARTS: Jun 3, 2025
DURATION
9 months, Online
Price
EUR 4000
EUR 3500
CONTENT
4 Courses
Tuition fee details
Save 12%
Program Fee
EUR 4000
EUR 3500
Pay by Oct 31, 2025
Learning outcomes
- Build your new career as a data management professional from scratch.
- Explore the fundamentals of data management and specialize in data governance and data quality, the most critical disciplines in the field today.
- Prepare to take the CDMP Fundamentals certification exam, along with specializations in Data Governance and Data Quality, to join the elite of data management professionals.
- Dive deep into the most effective practical strategies for implementing and managing enterprise data governance.
- Master the most advanced techniques for developing and managing a data quality program.
- In about 7 months, become one of the most in-demand professionals on the market.
Learning journey
With the Certified Data Governance and Data Quality Specialization learning path, you’ll develop the essential skills to drive data quality initiatives and implement robust governance frameworks across your organization.
01 · Data Management Fundamentals
This course offers a thorough preparation across all key disciplines of data management, following the DAMA International framework and the DMBoK 2nd edition
02 · Data Governance
This course focuses on the core principles of Data Governance as outlined in DAMA International’s Data Management Body of Knowledge (DMBoK2). Designed for professionals pursuing the CDMP Specialist certification, it offers a deep dive into governance structures, roles, tools, and performance metrics.
03 · Data Quality
This course offers a practical and theoretical overview of Data Quality principles, aligned with DAMA International’s Data Management Body of Knowledge (DMBoK2). It is designed for professionals preparing for the CDMP Data Quality Specialist certification and for those working on data validation, assessment, and improvement initiatives.
04 · Effective Data Governance Strategies
This course explores the human dynamics involved in working with data and specifically introduces the concept of personality traits as unique characteristics of individual professionals that can contribute to the success or failure of data projects. The ability to understand these dynamics is an essential and decisive factor for harnessing data talents and achieving the final outcomes of projects.
05 · Set up Quality Indicators, Profiling and Report
This course explores the human dynamics involved in working with data and specifically introduces the concept of personality traits as unique characteristics of individual professionals that can contribute to the success or failure of data projects. The ability to understand these dynamics is an essential and decisive factor for harnessing data talents and achieving the final outcomes of projects.
Why enroll in this course?
Comprehensive governance and quality training delivered by industry specialists.
A robust training program designed to build expertise as a Data Manager, Data Governance Specialist, and Data Quality Analyst.
Practical skills for developing better Data Governance strategies.
Specialized training for more effective data quality process management.
Course overview
Learning experience
Value
A comprehensive training program that equips you with advanced-level data management skills, bridging theory and hands-on practice.
Industry Experts:
Courses led by seasoned professionals with over a decade of hands-on experience in data management and related disciplines.
DAMA Certifications:
The course prepares you for the CDMP certification exams in Fundamentals, Data Governance, and Data Quality Specialization, enabling you to join the exclusive group of CDMP Practitioners or CDMP Masters—depending on your exam results.
Who is it for?
- Any data professional who wishes to train in the field of data management
- Data professionals already working in the field who wish to become CDMP Practitioners or Masters, enhancing their professional value through the certification pathway.
- Chief Data Officers and Data Managers who need a fast and reliable pathway to consolidate their knowledge and apply it in their roles.
- C-Level executives and senior leaders who require internationally recognized training for data management and optimization.
- Young recent graduates who want to invest in the start of their professional journey by obtaining a prestigious set of certifications.
A course of
FIT Academy Professional Education in numbers
Presence in the UK, Italy, Spain,
Saudi Arabia & South America
Past Participant Profile
Participants of the Professional Certificate Program in Digital Transformation have a wide range of backgrounds, industries, and experiences. This diversity within the cohort guarantees that you’ll engage with like-minded professionals while also gaining fresh insights to tackle your organization’s specific challenges.
Average years of work experience
- Less than 10 years: 35%
- 10-15 years: 28%
- 16-20 years: 17%
- More than 20 years: 20%
Top industries
- IT/Computers
- Technology/Telecom
- Consulting
- Financial Services
- Government
- Manufacturing
Top functions
- Chief Data Officer
- Data Manager
- Data Steward
- Data Analyst
- Data Governance Specialist
- Data Scientist
- Data Engineer
Frequently asked questions
What is the CDMP Master Learning Path?
The CDMP Master Learning Path is a training program consisting of three courses that provide education on the fundamentals of data management and in-depth knowledge of the two most important disciplines: Data Governance and Data Quality. All content is based on the DAMA framework, the leading international standard in the field today.
How is this training path structured?
The learning path is made up of three main courses:
Data Management Fundamentals – a course that covers the core concepts of data management and all the disciplines outlined in the DAMA framework.
Data Governance Specialization – focused on mastering data governance, one of the most critical and in-demand areas in the field.
Data Quality Specialization – dedicated to the key principles and practices of ensuring high-quality, reliable data. These two specializations—Data Governance and Data Quality—are currently the most important and in-demand in the job market. Each of the three courses not only offers in-depth training but also prepares participants for its corresponding certification exam. The learning path concludes with a training module focused on the human factor and its impact on the success or failure of data projects.
What are the added values of this training path?
This single training path allows you to build or enhance—depending on your current level of experience—your professional role as a leader in data management. The program is designed to be completed in a short time and provides effective preparation on key topics such as data management, governance, and quality. Whether or not you choose to pursue certification, the training equips you with the essential knowledge and skills to lead in the field.
What about certifications?
This training path enables you to take all three certification exams—Data Management Fundamentals, Data Governance Specialization, and Data Quality Specialization—and, depending on your exam scores, achieve the CDMP Practitioner or CDMP Master designation. These are prestigious certifications that grant access to an exclusive group of international data leaders, providing a highly valuable professional credential. Currently, there are fewer than 800 CDMP Practitioners and fewer than 300 CDMP Masters worldwide!
Is prior experience required to attend the courses?
No, the courses are designed to be accessible to both seasoned professionals and those who are just beginning their career in data management. They are also valuable for professionals in related roles—such as data analysts, data engineers, or data scientists—who want to acquire new skills to make their work more effective and aligned with best practices in data management.