Module Directory

This module extensively studies the principles and applications of data mining and data visualisation in various business and organisational contexts. It explores into the pivotal role of data governance, data mining techniques, and visualisation tools in modern enterprises, supply chains, and operations.

This module reviews the latest technological advancements, their practical applications, and the profound implications they have on effectively mining, managing and interpreting data within businesses. Additionally, this module provides an in-depth exploration of Data Mining and Visualisation techniques, encompassing their methodologies, applications, software tools, implementation strategies, and analytical considerations. Throughout the module, issues pertaining to the implementation and utilisation of these techniques will be critically analysed, gaining valuable insights into leveraging data for informed decision-making.

The aims of this module are:

• To introduce students to fundamental concepts, contemporary tools, and methodologies in the main domain of Data Governance, Data Mining and Data Visualisation,


• To provide students with an understanding and practical proficiency in deploying data mining and data visualisation technologies within organisational settings,


• To enable students to confidently apply data mining and visualisation techniques for data-driven decision support across diverse organisations and industries.

By the end of this module, students will be expected to be able to:

1. Demonstrate a critical understanding of fundamental concepts and techniques in data mining for decision support,


2. Demonstrate a comprehensive understanding of data governance and best practices in the context of data mining.


3. Identify and explain effective data visualisation methods, approaches, and tools in representing complex data sets in a visually compelling and informative manner.

Skills for your Professional Life (Transferable Skills)

1. Critically analyse issues in relation to data governance and data mining and the role of data visualisation,


2. Critically analyse the challenges associated with the communicating complex data-driven insights with support of visualsiation methods and tools,


3. Critically evaluate and demonstrate capability to apply data mining and visualisation skills to solve real-world business challenges, demonstrating the practical application of knowledge in various business domains.

Syllabus information

The indicative list of subjects and topics in this module are:

• Introduction to Data Governance
  
  
  
  • Key themes, concepts, and challenges
  
  
  • Impact of technological advancements on Big Data Management 
  
  
  
  

• Data Mining
  
  
  
  • Introduction to the basic concepts and principles of data mining
  
  
  • Overview of data mining processes
  
  
  • Overview of data mining tools and technologies 
  
  
  
  

• Data Visualisation
  
  
  
  • Data visualisation and data analytics
  
  
  • Big Data visualisation methods and tools
  
  
  • Effective data visualisation with Tableau
  
  
  
  

This module will be delivered via:

• One 1-hour seminar per week
• One 1-hour lecture per week

The following learning and teaching methods will inform the pedagogic structure of the course: lectures, case studies, class exercises, group work, and signposting to other resources and support.

Students will be encouraged and required to refer to a wide range of resources covering textbooks and academic peer reviewed journal articles, to build an understanding of theoretical concepts and refer to online platforms to follow current trends and practices concerning business analytics and decision-making tools.

The lectures will be developed around key concepts as mentioned in the indicative module content and will use a range of examples and cases from practice to demonstrate the application of theoretical concepts.