PROFESSIONAL DIPLOMA IN DATA MANAGEMENT

The course will address disciplines across the spectrum of Data Management and is aimed at people looking to start developing their knowledge in this field.
Many organisations are now trying to realise their data as an asset which can drive insights, innovation, strategic goals and value.
The course will present concepts and methods to support Data Management and is aimed at people looking to start developing their knowledge in this field. It will serve as an introduction to the profession and enable an understanding of the various data management principles and knowledge areas. The data Management profession is increasing growing and seen as a vital enterprise capability in modern business as big tech now looks to drive value from this asset.

An accredited programme of the Institute of Bankers

I think we can all agree that over the last few years the world has turned on its head and with that, the importance and benefits of data knowledge.   The world is now realising the importance of treating data as an asset!
For businesses the practice of data management has become more and more a priority since the introduction of BCBS239 and GDPE et al but also given the unprecedented increase in use of data throughout the last couple of years through the pandemic. This course will look to cover the practice of collecting, storing, organising, protecting, verifying, and processing data.

• The average Data Analyst salary in Ireland is € 50,000 per year
• Career openings in Data Management are projected to increase by 11% between 2018 and 2028
• Data Analysis skills will always be in demand

The objective of this module is to provide the learner with knowledge of:

• Data Management Overview
• Data Governance and Ethics
• Architecture and Modelling
• Data Storage
• Data Security
• Business Intelligence
• Data Quality
• Metadata

You will have a base knowledge of the various facets and concepts of data management with framework examples and how these can be applied in any business.
• You will understand why data should be treated as an asset
• Why Data Governance is important and design activities
• What is a Data Model and its components
• Data Storage operations and principles
• Data Regulatory requirements
• Data Security and Data Risk
• You will understand what data warehousing is and why we need Data Science
• You will know how to use data for business intelligence and drive real data value
• Understand the principles of Data Quality and understand data risk
• Metadata, Reference data and Master Data

A pass grade on the written assignment will be required for awarding the Diploma.

Similarly, the Project must be handed in on the due date unless a sound reason for lateness is provided. In such instances, an extension may be awarded at the discretion of the lecturer.