The LICQual Level 3 Award in Certified Data Management Professional (CDMP) is the ultimate qualification for professionals looking to take their data management career to the next level. With data being one of the most valuable assets for organizations today, the demand for skilled data managers continues to rise.
This advanced-level certification is designed to equip you with the expertise needed to manage complex data environments, implement robust governance frameworks, and lead data-driven strategies that align with business objectives. Whether you’re aiming to elevate your career or take on a leadership role in data management, this course provides the tools and insights to stand out in the competitive data management field.
The LICQual Level 3 Award in Certified Data Management Professional (CDMP) offers a deep dive into the most advanced data management principles, helping you master the skills required to manage large-scale, enterprise-wide data initiatives. This course builds on your existing knowledge of data management, covering critical areas such as data governance, data quality management, data privacy, and security. You’ll explore how to align data strategies with business goals, ensuring data is used as a strategic asset to drive innovation and business growth.
Throughout this course, you will delve into topics such as data architecture, risk management, and data analytics. You will also gain insights into emerging technologies and how to apply them within data management processes, preparing you to navigate the challenges of today’s data-driven world. Upon completion, you will be equipped with the expertise to design, implement, and manage comprehensive data strategies, making you a key asset to any organization.
The LICQual Level 3 Award in CDMP is a powerful qualification that will enhance your data management career, opening doors to leadership roles and providing a strong foundation for further advancement in the field.
Course Overview
Qualification Title
LICQual Level 3 Award in Certified Data Management Professional (CDMP)
Total Units
6
Total Credits
6
GLH
18
Qualification #
LICQ220032 7
Qualification Specification
To enrol in the LICQual Level 3 Award in Certified Data Management Professional (CDMP), candidates must meet the following entry requirements:
- Educational Requirements: A high school diploma or equivalent is required. Prior completion of a Level 2 qualification in data management or a related field is recommended but not mandatory.
- Experience: Candidates should have at least 1-2 years of professional experience in data management, IT, or related fields, with a working knowledge of data governance and management practices.
- English Language Proficiency: Strong proficiency in English is necessary, as all course materials and assessments are in English. If English is not your first language, an IELTS score of 6.0 or higher is recommended.
- Age Requirement: Candidates must be at least 18 years of age at the time of enrolment.
|
Qualification# |
Unit Title |
Credits |
GLH |
|---|---|---|---|
|
LICQ2200327-1 |
Enterprise Data Strategy |
1 |
3 |
|
LICQ2200327-2 |
Advanced Data Architecture & Modeling |
1 |
3 |
|
LICQ2200327-3 |
Data Quality Advanced Techniques |
1 |
3 |
|
LICQ2200327-4 |
Data Privacy & Compliance Regulations |
1 |
3 |
|
LICQ2200327-5 |
Data Analytics and Business Intelligence |
1 |
3 |
|
LICQ2200327-6 |
Data Management in Cloud & Emerging Technologies |
1 |
3 |
By the end of this course, learners will be able to:
Enterprise Data Strategy
- Understand the importance of aligning data strategy with organizational business goals.
- Develop and implement a comprehensive enterprise data management strategy to support business objectives.
- Recognize the key elements of a successful data strategy, including data governance, data quality, and security.
- Learn how to assess and optimize data assets to drive business value.
Advanced Data Architecture & Modeling
- Master advanced data architecture principles and techniques for designing scalable data systems.
- Learn how to model complex data structures to support business intelligence and analytics.
- Understand the integration of various data models and frameworks to ensure efficient data flows within an organization.
- Gain expertise in selecting the right architecture for specific business and technical requirements.
Data Quality Advanced Techniques
- Learn advanced techniques for assessing, monitoring, and improving data quality.
- Understand the role of data profiling, data cleansing, and data validation in maintaining high-quality data.
- Develop strategies to continuously improve data quality across the organization.
- Gain insights into implementing data quality metrics and KPIs to ensure ongoing data integrity.
Data Privacy & Compliance Regulations
- Understand the key data privacy laws and compliance regulations, including GDPR, CCPA, and others.
- Learn how to implement data privacy measures to ensure compliance with local and international laws.
- Develop strategies for managing data privacy risks and safeguarding sensitive information.
- Explore the role of data governance in maintaining regulatory compliance and protecting customer data.
Data Analytics and Business Intelligence
- Gain expertise in advanced data analytics and business intelligence (BI) techniques.
- Learn how to use BI tools and techniques to extract actionable insights from data.
- Understand the role of data analytics in driving data-driven decision-making within organizations.
- Explore how to integrate analytics and BI into broader business processes for improved performance.
Data Management in Cloud & Emerging Technologies
- Understand how to manage data effectively in cloud environments, including public, private, and hybrid clouds.
- Learn about emerging technologies like AI, machine learning, and IoT and their impact on data management.
- Develop strategies to migrate, store, and manage data in cloud environments while ensuring data security and compliance.
- Explore the evolving trends in data management and how to leverage new technologies for improved data governance and analytics.
This diploma is ideal for:
- Experienced data professionals who want to enhance their expertise and take on more strategic roles in data management.
- Data architects, analysts, or engineers looking to deepen their understanding of enterprise data strategy and advanced data modeling techniques.
- IT professionals aiming to expand their knowledge of cloud-based data management and emerging technologies like AI and machine learning.
- Individuals in managerial or leadership roles responsible for overseeing data governance, quality, and compliance within an organization.
- Professionals seeking to stay ahead of the curve by gaining expertise in data privacy regulations, business intelligence, and advanced analytics.
- Anyone pursuing an internationally recognized qualification to advance their career in the field of data management.
- Those looking to integrate data strategy and advanced analytics to drive business intelligence and data-driven decision-making within their organizations.
Assessment and Verification
All units within this qualification are subject to internal assessment by the approved centre and external verification by LICQual. The qualification follows a criterion-referenced assessment approach, ensuring that learners meet all specified learning outcomes.
To achieve a ‘Pass’ in any unit, learners must provide valid, sufficient, and authentic evidence demonstrating their attainment of all learning outcomes and compliance with the prescribed assessment criteria. The Assessor is responsible for evaluating the evidence and determining whether the learner has successfully met the required standards.
Assessors must maintain a clear and comprehensive audit trail, documenting the basis for their assessment decisions to ensure transparency, consistency, and compliance with quality assurance requirements.
