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Data & Knowledge Management

Learn how to harness the power of data and transform it into actionable knowledge.

This module introduces the principles of information, data, and knowledge management, equipping students with the skills to design, manage, and analyse data effectively.

What you will learn with Blockchain Fundamentals:

Explore relational, non-relational, and next-generation database technologies, and gain hands-on experience with the tools, methodologies, and techniques that underpin modern data management. By the end of the module, you’ll be able to evaluate data strategies, optimise knowledge workflows, and support informed decision-making in organisations across industries.

You’ll explore:

Information, data and knowledge management theory
Compare common database systems
Assess and implement different forms of data models

Who would benefit from this course:

Professionals new to IT

Aspiring Data Engineers

Teams and employees looking to upskill or reskill

Course Delivery

This course is delivered in partnership with Cardiff Metropolitan University online and in person sessions, workshops and independent guided study. This course will consist of 36 hours of face-to-face learning and 140 hours of independent study across 12 weeks. Courses will be delivered once a week 6pm-9pm.

Learners will have the opportunity to choose between the Data & Knowledge Management or Blockchain Fundamentals module.

Learning outcomes

On successful completion of this module, students will be able to:

Discuss, analyse and apply techniques for information, data and knowledge management.
Analyse and explain the implications of technological innovation for data usage, data security and data management.
Apply the fundamental concept of the normalisation process and construction of a database management system.
Reflect on the limitations of knowledge management systems and technologies in a socio-technical and organisational context.
Assess and implement different forms of data and database architecture to solve a given organisational scenario.

Indicative content

Information, data and knowledge management theory.
Database modelling: entity-relationship model and the relational model.
Structured Query Language (SQL).
Comparing common database systems.
Concurrency and performance issues in databases, transaction management.
Data Quality/Data Capture, Functions of Visualisations, Graphic Integrity, Data-Ink Ratio, Table & Graphs, Multiple Datasets, Interactive Graphs.
Business Understanding, Data Understanding, Data Protection, Modelling, evaluation.
Statistical Software, data Programming, Databases & languages, Business Intelligence Tools.
Big data and analytics.
Non-relational and semi-structured data, NoSQL.

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