Module and Programme Catalogue

Search site

Find information on

2022/23 Undergraduate Module Catalogue

LUBS2921 Business Analytics in a Global World

10 credits

Module manager: Prof. Bill Gerrard

Taught: Semester 2 (Jan to Jun) View Timetable

Year running 2022/23

This module is not approved as a discovery module

Module summary

This unique module provides an opportunity to learn about business analytics, taught from both British and American universities. Students will learn about the key methods used for business analytics and gain practical experience in using them. There will be various cultural activities and opportunities to hear from guest speakers working in industry. The module starts with a compulsory induction week which outlines how this unique module will work. The business analytics content is then taught online over 6 weeks, 3 weeks taught by the University of Leeds and 3 weeks taught by the University of Kentucky. The cultural activities take place on campus over 2 weeks, one week in Leeds and the other week at the University of Kentucky. Travel will be required to take part in this module.


This module aims to give students an introduction to the theory and practice of business analytics from British and American perspectives. The module is jointly taught by the University of Leeds and the University of Kentucky. Students will learn to analyse data, create visualisations and share their findings to diverse audiences. Students will be required to participate in cultural activities and hear from guest speakers from both British and American industries.

Learning outcomes
Upon completion of this module students will be able to:
- Demonstrate an understanding of the role of business analytics in an evidence-based approach.
- Develop a familiarity with the applications of business analytics.
- Demonstrate an understanding and ability to utilise key methods employed in business analytic approaches to problem solving, including methods for testing relationships, clustering, visualizing data and forecasting time series data.
- Demonstrate an understanding of the cultural diversity or subtle differences in style and substance of working in Kentucky.


Indicative content:

1. Exploratory data analysis
2. Testing for bivariate relationships
3. Cluster analysis
4. Factor analysis
5. Data visualization concepts and methods
6. Time Series Forecasting
7. Regression
8. Cross-cultural understanding with a focus on industry

Teaching methods

Delivery typeNumberLength hoursStudent hours
Independent online learning hours12.00
Private study hours20.00
Total Contact hours68.00
Total hours (100hr per 10 credits)100.00

Private study

After each introductory lecture session students are expected to prepare in their own time for the practical activities in the subsequent linked practicals. Students will also undertake private study and independent learning through exploring provided reading material, online materials, and other materials as directed by the module team. This private study and independent learning will support the student learning in the online classroom.

Opportunities for Formative Feedback

Online support provided by all tutors throughout the module.

Methods of assessment

Assessment typeNotes% of formal assessment
Assignment1,000 words maximum40.00
Assignment1,000 words maximum40.00
Assignment1,000 words maximum20.00
Total percentage (Assessment Coursework)100.00

The resit for this module will be 100% by 3,000 word assignment.

Reading list

There is no reading list for this module

Last updated: 29/07/2022


Browse Other Catalogues

Errors, omissions, failed links etc should be notified to the Catalogue Team.PROD

© Copyright Leeds 2019