The LICQual Level 2 Certificate in Certified Data Management Professional (CDMP) is an advanced course designed for professionals seeking to deepen their knowledge and skills in data management. As organizations increasingly rely on data to drive decision-making and growth, the demand for skilled data management professionals continues to rise.
This qualification equips you with the tools to manage data governance, improve data quality, and ensure robust data security across a variety of business environments. If you’re looking to elevate your career and gain in-depth expertise in data management, this course offers the perfect opportunity.
The LICQual Level 2 Certificate in CDMP provides a deeper dive into the essential concepts of data management, offering practical knowledge in areas such as data governance, data quality frameworks, data integration, and metadata management. Through this course, you’ll explore advanced strategies for managing and maintaining data quality, implementing effective governance structures, and ensuring data privacy and compliance.
This qualification is ideal for professionals who are already familiar with the basics of data management and are looking to expand their skills to handle more complex data management challenges. By completing the LICQual Level 2 Certificate in CDMP, you will gain the expertise to contribute to high-level data management projects and work with advanced tools and technologies in the field.
With this certification, you’ll have a competitive edge in the rapidly evolving data management landscape. Whether you’re aiming for a promotion, exploring new job opportunities, or pursuing further certifications, this qualification will enhance your professional credibility and provide you with the knowledge to excel in a data-driven world.
Course Overview
Qualification Title
LICQual Level 2 Certificate in Certified Data Management Professional (CDMP)
Total Units
6
Total Credits
18
GLH
72
Qualification #
LICQ220032 9
Qualification Specification
To enrol in the LICQual Level 2 Certificate in Certified Data Management Professional (CDMP), candidates must meet the following entry requirements:
- Educational Requirements: A high school diploma or equivalent is required. Completion of a Level 1 qualification in data management or a related field is recommended but not mandatory.
- Experience:A minimum of 1 year of professional experience in data management, IT, or a related field is preferred. Candidates should have a basic understanding of data management concepts and practices.
- English Language Proficiency: Strong proficiency in English is essential as the course materials and assessments are in English. Non-native English speakers may need to demonstrate an IELTS score of 5.5 or higher or equivalent.
- Age Requirement: Candidates must be at least 18 years of age at the time of enrolment.
|
Qualification# |
Unit Title |
Credits |
GLH |
|---|---|---|---|
|
LICQ2200329-1 |
Data Management Fundamentals |
3 |
12 |
|
LICQ2200329-2 |
Data Governance & Compliance |
3 |
12 |
|
LICQ2200329-3 |
Data Quality Assurance |
3 |
12 |
|
LICQ2200329-4 |
Data Architecture Principles |
3 |
12 |
|
LICQ2200329-5 |
Data Security Practices |
3 |
12 |
|
LICQ2200329-6 |
Data Lifecycle and Retention Management |
3 |
12 |
By the end of this course, learners will be able to:
Data Management Governance
- Understand the principles of data governance and how they ensure effective data management across an organization.
- Gain knowledge of the key components of data governance frameworks, including roles, responsibilities, policies, and standards.
- Learn how to establish and maintain data governance structures to support organizational data management objectives.
Data Quality Frameworks & Best Practices
- Learn about the frameworks and methodologies used to assess, monitor, and improve data quality.
- Understand the importance of data quality standards and best practices for maintaining high-quality data.
- Gain insight into data profiling, data validation, and data cleansing techniques to enhance data quality across the organization.
Data Integration and Architecture
- Understand the principles and techniques for integrating data from diverse sources into a unified architecture.
- Learn about data architecture design, data models, and data integration tools that support effective data flow and storage.
- Explore how to design scalable, efficient data architectures that ensure seamless data access and processing.
Metadata and Master Data Management
- Gain an understanding of the role of metadata in managing data assets and its importance for data governance.
- Learn about master data management (MDM) and its role in ensuring consistency, accuracy, and control over key organizational data.
- Develop the skills to implement metadata management practices that support data integrity and accessibility.
Risk & Compliance Management
- Understand the role of data management in meeting regulatory compliance requirements and mitigating risks.
- Learn how to assess data risks and develop strategies to manage and reduce these risks.
- Gain knowledge of the regulatory landscape, including GDPR and other data privacy laws, and how to ensure compliance through effective data management practices.
Business Intelligence and Data Analytics
- Learn the basics of business intelligence (BI) and data analytics and their role in transforming raw data into valuable insights.
- Understand how to implement data analytics techniques for improved decision-making and organizational performance.
- Gain knowledge of BI tools, reporting techniques, and the application of data analytics for strategic planning and business optimization.
This diploma is ideal for:
- Professionals with some experience in data management looking to enhance their skills and advance their career.
- Individuals aiming to develop a deeper understanding of data governance, quality management, and business intelligence.
- Data analysts, data engineers, or IT professionals who want to formalize their knowledge of data management frameworks.
- Business professionals looking to leverage data for strategic decision-making and improve organizational performance.
- Those aspiring to move into more senior roles in data management, data governance, or business intelligence.
- Anyone interested in pursuing a recognized certification to validate their expertise and enhance their career opportunities in 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.
