The LICQual Level 2 Award in Certified Data Management Professional (CDMP) is designed to provide professionals with a deeper understanding of data management principles and practices. If you’re looking to build upon your foundational knowledge or enhance your career prospects in data management, this course offers a comprehensive learning experience.
This qualification focuses on essential concepts such as data governance, data quality, security, and the critical role of data within modern organizations. With the rising demand for skilled data professionals, the LICQual Level 2 Award equips you with practical expertise to excel in the evolving data management landscape.
The LICQual Level 2 Award in Certified Data Management Professional (CDMP) takes you beyond the basics of data management, providing you with the advanced skills needed to address complex challenges in data governance, security, and architecture.
Over the course of two days, you’ll dive into key areas like advanced data quality management, data lifecycle processes, and security measures to protect organizational data. You’ll also explore the growing importance of data governance frameworks and how they ensure data integrity and compliance.
This qualification is perfect for professionals working in data-related roles, including data analysts, business analysts, and IT professionals, who are seeking to strengthen their expertise in managing and securing organizational data.
By completing this award, you’ll gain the practical knowledge and industry-recognized certification needed to take on more advanced roles in data management or pursue further qualifications in the field. The course content aligns with international data management standards, ensuring you are prepared to meet the global demand for skilled data professionals.
Course Overview
Qualification Title
LICQual Level 2 Award in Certified Data Management Professional (CDMP)
Total Units
6
Total Credits
6
GLH
12
Qualification #
LICQ2200326
Qualification Specification
To enrol in the LICQual Level 2 Award in Certified Data Management Professional (CDMP), candidates must meet the following entry requirements:
- Educational Requirements: A minimum of a high school diploma or equivalent is recommended. Previous experience or knowledge in data management, business, or IT is beneficial but not required.
- Experience: While prior work experience in data management is not mandatory, some familiarity with data-related tasks or basic IT systems may be helpful. This course is suitable for professionals seeking to formalize their understanding or expand their knowledge in data management.
- English Language Proficiency: A good command of the English language is necessary, as all course materials and assessments are in English. If English is not your first language, proficiency equivalent to IELTS 5.5 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 |
|---|---|---|---|
|
LICQ2200326-1 |
Data Management Strategies |
1 |
2 |
|
LICQ2200326-2 |
Advanced Data Governance |
1 |
2 |
|
LICQ2200326-3 |
Data Integration & Interoperability |
1 |
2 |
|
LICQ2200326-4 |
Data Quality Assessment and Improvement |
1 |
2 |
|
LICQ2200326-5 |
Metadata Management |
1 |
2 |
|
LICQ2200326-6 |
Data Risk Management |
1 |
2 |
By the end of this course, learners will be able to:
Data Management Strategies
- Understand the key strategies for effective data management within an organization.
- Recognize how data management aligns with overall business goals and objectives.
- Develop an understanding of different data management models and approaches to ensure data integrity and accessibility.
- Learn how to plan and implement data management initiatives that drive organizational success.
Advanced Data Governance
- Understand the advanced principles of data governance and its role in ensuring data quality, privacy, and compliance.
- Learn how to develop and implement data governance frameworks within an organization.
- Identify the roles and responsibilities in a data governance structure and how to effectively manage them.
- Understand the impact of regulatory requirements and industry standards on data governance practices.
Data Integration & Interoperability
- Gain insights into the importance of data integration and the techniques used to combine data from various sources.
- Learn about data interoperability and how to ensure different systems and platforms can work together seamlessly.
- Understand the challenges involved in data integration and strategies to overcome them.
- Explore tools and technologies used to enhance data integration and interoperability.
Data Quality Assessment and Improvement
- Develop an understanding of the principles and processes for assessing data quality.
- Learn how to identify data quality issues and implement strategies for improvement.
- Understand key metrics and methodologies used to evaluate data quality.
- Explore the role of data quality improvement in ensuring accurate and reliable data for decision-making.
Metadata Management
- Understand the concept of metadata and its importance in data management.
- Learn how to manage metadata to improve data organization, accessibility, and governance.
- Explore tools and techniques for metadata management, including metadata repositories and metadata standards.
- Recognize the role of metadata in improving data search, retrieval, and overall data governance practices.
Data Risk Management
- Gain an understanding of data risk management and how to identify and mitigate risks related to data.
- Learn how to assess and prioritize data-related risks, including security and compliance risks.
- Explore strategies for managing data risks and implementing risk mitigation techniques.
- Understand the role of data risk management in ensuring the protection and privacy of organizational data.
This diploma is ideal for:
- Professionals currently working in data management, data governance, or IT roles who wish to deepen their knowledge and expertise in data management practices.
- Individuals looking to formalize and enhance their understanding of data governance, integration, and risk management within organizations.
- Data analysts, business analysts, and IT professionals seeking to expand their skillset and advance their career in the growing field of data management.
- Professionals responsible for data quality, data integration, or data security who want to develop a more strategic approach to managing organizational data.
- Individuals aiming to improve their ability to assess data quality, improve metadata management, and manage data risks within their organization.
- Anyone seeking an internationally recognized qualification in data management to boost their professional credentials and career opportunities.
- Individuals preparing for more advanced data management roles or certifications in data governance, integration, and risk 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.