The LICQual Level 3 Certificate in Certified Data Management Professional (CDMP) is an advanced qualification designed for experienced professionals who wish to elevate their expertise in the field of data management. This certification is ideal for individuals who already have a strong foundation in data management principles and seek to deepen their knowledge and skills in more complex data management areas.
Whether you are aiming to advance into leadership roles or refine your capabilities in data governance, architecture, and analytics, this course provides you with the tools and knowledge to succeed.
The LICQual Level 3 Certificate in Certified Data Management Professional (CDMP) offers a comprehensive deep dive into the core aspects of data management, focusing on advanced concepts and practices. With a curriculum designed to meet international standards, this course covers key areas such as data governance, data quality frameworks, data integration, and risk management. You will also explore metadata management, master data management, and the role of data analytics and business intelligence in strategic decision-making.
This certification equips you with the expertise needed to manage data efficiently and securely, implement effective governance structures, and ensure compliance with regulatory requirements. The practical skills you gain will allow you to take on more significant responsibilities within your organization, making you a valuable asset in driving data-driven initiatives.
By completing the LICQual Level 3 CDMP certification, you’ll be prepared to lead data management teams, oversee complex data projects, and contribute to your organization’s success in an increasingly data-centric world.
Course Overview
Qualification Title
LICQual Level 3 Certificate in Certified Data Management Professional (CDMP)
Total Units
6
Total Credits
24
GLH
120
Qualification #
LICQ2200330
Qualification Specification
To enrol in theLICQual Level 3 Certificate in Certified Data Management Professional (CDMP), candidates must meet the following entry requirements:
- Educational Requirements: A high school diploma or equivalent is required. It is recommended that applicants have completed a Level 2 qualification in data management or a related field.
- Experience: A minimum of 2-3 years of experience in data management, IT, or a related field is required. Candidates should already have a solid understanding of data management concepts and practices.
- English Language Proficiency: Proficiency in English is essential for this course, as all course materials and assessments are delivered in English. Non-native English speakers may be required to provide proof of language proficiency, such as an IELTS score of 6.0 or equivalent.
- Age Requirement: Candidates must be at least 18 years of age at the time of enrolment.
|
Qualification# |
Unit Title |
Credits |
GLH |
|---|---|---|---|
|
LICQ2200330-1 |
Advanced Data Governance & Stewardship |
4 |
20 |
|
LICQ2200330-2 |
Strategic Data Architecture & Design |
4 |
20 |
|
LICQ2200330-3 |
Advanced Data Quality Control |
4 |
20 |
|
LICQ2200330-4 |
Data Privacy & Security Standards |
4 |
20 |
|
LICQ2200330-5 |
Advanced Analytics & Big Data Technologies |
4 |
20 |
|
LICQ2200330-6 |
Data Management in Cloud & AI Environments |
4 |
20 |
By the end of this course, learners will be able to:
Unit 1: Advanced Data Governance & Stewardship
- Gain an in-depth understanding of advanced data governance principles and frameworks.
- Learn how to implement data stewardship programs that ensure high-quality, secure, and compliant data management across an organization.
- Develop skills to manage data governance processes and align them with business goals to ensure data integrity and accountability.
Unit 2: Strategic Data Architecture & Design
- Learn to design and implement advanced data architectures that support organizational objectives.
- Understand the principles of scalable and efficient data models, including data integration, storage, and retrieval systems.
- Gain insights into aligning data architecture with business strategy and ensuring optimal data flow and accessibility.
Unit 3: Advanced Data Quality Control
- Develop the ability to design and apply advanced data quality frameworks and best practices.
- Understand how to assess, monitor, and improve data quality throughout its lifecycle, using data profiling, cleansing, and validation techniques.
- Learn how to implement data quality management strategies that ensure the accuracy, consistency, and reliability of organizational data.
Unit 4: Data Privacy & Security Standards
- Master the key standards and regulations related to data privacy and security, such as GDPR, CCPA, and other global compliance requirements.
- Learn how to implement robust data privacy policies and practices that protect sensitive and personal data.
- Understand how to assess and mitigate data security risks, ensuring organizational compliance and maintaining data integrity.
Unit 5: Advanced Analytics & Big Data Technologies
- Gain knowledge of advanced analytics techniques and how to apply them to large-scale data sets.
- Understand big data technologies, including machine learning and AI, and how they impact data management and business decision-making.
- Develop the ability to utilize analytics and big data tools to extract valuable insights and support strategic initiatives.
Unit 6: Data Management in Cloud & AI Environments
- Learn how to manage data in cloud-based and AI-driven environments, ensuring scalability, security, and performance.
- Understand the unique challenges and opportunities of data management in cloud infrastructure and AI applications.
- Develop the skills to optimize data storage, processing, and governance in cloud and AI contexts, supporting innovation and agility in the digital landscape.
This diploma is ideal for:
- Experienced data professionals looking to enhance their expertise in data governance and stewardship.
- Data architects and engineers who want to improve their skills in designing and implementing strategic data architectures.
- Individuals focused on ensuring high-quality data control and developing advanced data quality management strategies.
- Professionals responsible for ensuring data privacy and security, particularly in the context of regulatory compliance and industry standards.
- Data analysts and business intelligence experts looking to deepen their knowledge of advanced analytics, big data technologies, and their application in real-world scenarios.
- IT professionals and data managers interested in managing data in modern cloud and AI environments, optimizing performance, scalability, and security.
- Those looking to advance their career by gaining cutting-edge skills in the evolving field of data management.
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.