Professional Diploma in Data Management

Professional Diploma in Data Management

Credit Value: Professional Diploma | Duration: 10 Weeks

This course is available via live online learning or part time, on campus or on demand.

The Professional Diploma in Data Management is designed to provide learners with a strong foundation in data principles, governance, and business data strategy. This programme introduces the essential concepts of modern data management and equips students with the knowledge required to understand how organisations collect, store, govern, and use data as a strategic asset.

Learners will develop expertise across key areas including data governance, data architecture and modelling, data storage, data security, data quality, metadata management, and business intelligence, while also gaining an understanding of how data drives value, decision-making, and innovation in modern organisations.

This programme also provides pathways into data-related roles such as data analysis, data governance, and business intelligence, as well as further study in data science and analytics.

Learning Modes

Online
Flexible self-paced online learning with pre-recorded content and assignment submission support.

• Start anytime
• Access duration: 12 weeks
• Assignment submission window: 12–13 weeks

Fees: €795

Live Online
Delivered through live online lectures with real-time instructor–student interaction and access to recorded sessions for review.

• 1 evening per week (6:30 PM – 9:30 PM)
• Delivered over 10 weeks
• Fully online with archived access

Fees: €895

On Campus
Delivered in a classroom environment in Dublin 2 with interactive, small-group learning.

• 1 evening per week (6:30 PM – 9:30 PM)
• Delivered over 10 weeks
• City centre location

Fees: €995

Qualifications

Professional Diploma in Data Management

Modules

This programme covers core data management disciplines and industry practices.

Data Management Overview

• Introduction to data as a business asset
• Importance of data-driven decision-making
• Overview of data management frameworks

Data Governance and Ethics

• Data governance principles
• Regulatory compliance (e.g. GDPR considerations)
• Data ownership and stewardship

Data Architecture and Modelling

• Data structures and modelling concepts
• Relational and conceptual data models
• Enterprise data architecture basics

Data Storage

• Data storage systems and principles
• Data warehousing concepts
• Data lifecycle management

Data Security

• Data protection principles
• Data risk and threat management
• Security controls and best practices

Business Intelligence

• Data analytics and reporting concepts
• Using data for business insights
• Decision-support systems

Data Quality

• Data accuracy, consistency, and validation
• Data quality frameworks
• Data cleansing and management processes

Metadata

• Metadata concepts and types
• Master data and reference data
• Data cataloguing and documentation

Entry Requirements

This course is suitable for beginners and individuals looking to develop foundational knowledge in data management. No prior experience in data or analytics is required.

Basic computer literacy is recommended.

Assessment

To achieve the Diploma, learners must complete a written assignment and project submission.

• Written Assignment (Pass required for certification)
• Project submission based on course topics
• Submission deadlines must be met unless an extension is granted

Learning Outcomes

Upon completion of this programme, learners will be able to:

• Understand data as a strategic business asset
• Explain data governance principles and frameworks
• Describe data modelling and architecture concepts
• Understand data storage and data warehousing principles
• Identify data security risks and mitigation strategies
• Apply principles of data quality management
• Understand metadata and master data concepts
• Use data for business intelligence and decision-making

Career & Progression Opportunities

Graduates may pursue roles in:

• Data Analyst (entry-level)
• Data Governance Assistant
• Business Intelligence Support Roles
• Data Quality Analyst
• Reporting and Analytics Support

This qualification also supports progression into further study in:

• Data Science
• Data Analytics
• Business Intelligence
• Advanced Data Management Programmes

Why Choose This Course?

✔️ Strong foundation in modern data management practices
✔️ Industry-relevant skills in high-demand field
✔️ Introduction to data governance and compliance
✔️ Practical understanding of business intelligence
✔️ Flexible learning options available
✔️ Pathway into data and analytics careers
✔️ Beginner-friendly entry into data profession