The LICQual Level 3 Award in Certified Data Management Professional (CDMP) is designed for individuals looking to elevate their expertise in data management to the next level. This advanced qualification provides a deep dive into essential areas such as data governance, risk management, data integration, and metadata management. If you’re ready to advance your career and tackle complex data management challenges, this course is your stepping stone.
Whether you’re in a managerial role or aspiring to lead data management initiatives, the LICQual Level 3 Award equips you with the critical skills needed to oversee and implement effective data management strategies within an organization. Gain industry-recognized certification and position yourself as an expert in the increasingly vital field of data management.
The LICQual Level 3 Award in CDMP offers an in-depth understanding of advanced data management techniques, providing you with the knowledge needed to navigate the evolving data landscape. The course covers a variety of key topics, including advanced data governance frameworks, data integration methods, data quality assessment, and risk management practices. You will explore how to develop and implement data management strategies that align with business goals while ensuring data security and compliance with regulations.
This award is ideal for experienced data professionals who are seeking to enhance their skills and take on more strategic responsibilities. It is also suitable for individuals preparing for senior roles in data management, as it provides the expertise needed to manage data assets effectively and mitigate risks. By completing the course, you will be well-equipped to manage large-scale data initiatives, improve data governance practices, and ensure the highest standards of data quality within your organization.
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.