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MAN-40391 - Module Specification
Keele Business School
Faculty of Business, Law, Humanities & Social Sciences

For academic year: 2026/27 Last Updated: 30 July 2026

MAN-40391 - Business Intelligence & Data Visualisation
Coordinator:
Lecture Time:
Level: Level 7
Credits: 15
Study Hours: 150
School Office: 01782 733094

Programme/Approved Electives for 2026/27

None

Available as a Free Standing Elective

No

Co-requisites

None

Prerequisites

None

Barred Combinations

None

Description for 2026/27

Unlock the power of data with our "Business Intelligence and Data Visualisation" module, designed to transform complex datasets into actionable insights. This course equips you with advanced visualisation techniques and hands-on experience with leading BI tools like Power BI, Tableau, and Python's visualisation libraries. You'll learn to craft compelling data-driven narratives and design interactive dashboards that provide real-time insights tailored to stakeholder needs. Through real-world case studies and a comprehensive project, you'll develop the skills to analyse complex data, create impactful visualisations, and optimise decision-making processes. Enhance your expertise in data storytelling, evaluate the strengths and limitations of various tools, and refine visual representations to drive strategic business outcomes. Join us to gain in-demand skills that are highly valued in today's data-driven business environment and propel your career forward.

Aims
This module equips students with the skills to translate complex data into actionable business intelligence through advanced visualisation techniques. Students will explore popular BI tools like Power BI, Tableau, and Python's visualisation libraries to create impactful dashboards and reports that aid decision-making. The module emphasises the importance of data storytelling and interactive dashboards in communicating key business insights effectively.

Intended Learning Outcomes

analyse complex datasets and synthesise insights into meaningful business intelligence using advanced visualisation techniques.: 1
design interactive dashboards that effectively communicate key business insights, tailored to specific stakeholder needs.: 1
critically evaluate the strengths and limitations of different data visualisation tools, applying appropriate techniques for specific business contexts.: 1
create data-driven narratives that inform strategic decision-making, integrating multiple data sources for comprehensive analysis.: 1
assess the impact of data visualisation on business outcomes, refining visual representations to optimise decision-making processes.: 1

Study hours

Lectures 12x1
Tutorials/Workshops 12x1
Guided independent study 126

School Rules

None

Description of Module Assessment

1: Assignment weighted 100%
Individual Data Visualisation Project
Individual Data Visualisation Project (100%): Students will complete a comprehensive project that involves analysing a complex dataset, creating interactive dashboards, and presenting their findings in a data-driven narrative. Equivalent - 3000 words.

The University undertakes a continuous review of its teaching and research provision to ensure programmes are of a high quality and changes may be made to modules where it is necessary and reasonable to do so. Please be aware that minor changes to modules, such as a change to an individual assessment, can occur up until enrolment, although we endeavour to give you as much notice as possible of any changes. Details about the circumstance in which changes are made to programmes can be found in the Student Agreement, available at: https://www.keele.ac.uk/legalgovernancecompliance/governance/actcharterstatutesordinancesandregulations/studenttermsconditions/

Last Updated: 30 July 2026