The LICQual Level 2 Diploma in Certified Data Management Professional (CDMP) is designed for individuals seeking to enhance their expertise in data management and analytics. As organizations increasingly rely on data-driven strategies, professionals with strong data management skills are in high demand. This course provides in-depth knowledge of data governance, database administration, data integration, and security, equipping learners with the tools to manage and optimize data effectively.
This diploma is ideal for aspiring data professionals, IT specialists, and business analysts who want to develop advanced skills in handling, structuring, and safeguarding data. The curriculum covers key concepts such as data modeling, metadata management, big data technologies, and regulatory compliance. By focusing on both theoretical understanding and practical application, this course prepares learners for real-world challenges in data management.
The LICQual Level 2 Diploma in Certified Data Management Professional (CDMP) offers a structured learning path for those looking to specialize in data management. Learners will explore critical topics such as advanced database management, data security protocols, cloud storage solutions, and data analytics techniques. The course also emphasizes the importance of ethical data handling, compliance with data protection regulations, and implementing best practices in data quality management.
By completing this diploma, participants will gain practical skills and industry-relevant knowledge to pursue careers in data analysis, database administration, and business intelligence. Whether you are aiming for a role in IT, finance, healthcare, or any other data-driven sector, this qualification provides the expertise needed to succeed in the evolving field of data management.
Course Overview
Qualification Title
LICQual Level 2 Diploma in Certified Data Management Professional (CDMP)
Total Units
6
Total Credits
36
GLH
120
Qualification #
LICQ2200332
Qualification Specification
To enrol in the LICQual Level 2 Diploma in Certified Data Management Professional (CDMP), candidates must meet the following entry requirements:
- Educational Requirements: Candidates must have a high school diploma or equivalent. A foundational course in data management or relevant academic qualifications in business or IT is recommended.
- Experience: At least 1-2 years of professional experience in data management or related roles is preferred. Familiarity with data management concepts such as governance, quality, and security is beneficial.
- English Language Proficiency: Candidates must demonstrate proficiency in English. Non-native speakers should have an IELTS score of at least 6.0 or an equivalent level of proficiency.
- Age Requirement: Candidates must be at least 18 years of age at the time of enrolment.
|
Qualification# |
Unit Title |
Credits |
GLH |
|---|---|---|---|
|
LICQ2200332-1 |
Enterprise Data Governance |
6 |
20 |
|
LICQ2200332-2 |
Advanced Data Quality and Validation |
6 |
20 |
|
LICQ2200332-3 |
Data Integration and Interoperability |
6 |
20 |
|
LICQ2200332-4 |
Business Intelligence & Data Analytics Frameworks |
6 |
20 |
|
LICQ2200332-5 |
Risk Assessment and Data Compliance |
6 |
20 |
|
LICQ2200332-6 |
Data Management with Cloud and Emerging Technologies |
6 |
20 |
By the end of this course, learners will be able to:
Enterprise Data Governance
- Understand the principles and strategies for implementing effective enterprise data governance.
- Learn to develop and manage data governance frameworks that align with organizational goals and compliance requirements.
Advanced Data Quality and Validation
- Master advanced techniques for ensuring data quality and integrity within complex datasets.
- Develop the ability to design and implement data validation processes that enhance data accuracy and reliability.
Data Integration and Interoperability
- Gain expertise in integrating data from multiple sources and ensuring system interoperability.
- Learn to apply best practices for seamless data integration and creating unified data ecosystems.
Business Intelligence & Data Analytics Frameworks
- Understand key business intelligence (BI) and data analytics frameworks used to drive data-driven decisions.
- Learn to implement BI tools and analytics techniques to support organizational strategy and performance.
Risk Assessment and Data Compliance
- Learn to conduct thorough data risk assessments and ensure compliance with relevant regulations.
- Develop strategies to mitigate data risks and maintain compliance in highly regulated environments.
Data Management with Cloud and Emerging Technologies
- Gain knowledge of managing data in cloud environments and utilizing emerging technologies for data storage and processing.
- Learn how to implement cloud-based data management solutions and explore innovative technologies like AI and IoT for data optimization.
This diploma is ideal for:
- Professionals already working in data management who wish to deepen their expertise and advance their careers.
- Business analysts, IT professionals, or data engineers looking to expand their knowledge in enterprise data governance, analytics, and emerging technologies.
- Individuals interested in pursuing leadership roles in data management and governance across various industries.
- Data professionals aiming to specialize in areas such as data quality, integration, and compliance.
- Those seeking to understand the practical applications of cloud technologies and advanced data analytics in data management.
- Aspiring data managers or consultants looking for a comprehensive certification to enhance their qualifications and open up career advancement opportunities.
- Professionals from regulated industries like finance, healthcare, or government who need to ensure compliance with data governance and risk management standards.
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.
