Module manager: Prof. Bill Gerrard
Email: ecowjg@leeds.ac.uk
Taught: Semester 2 (Jan to Jun) View Timetable
Year running 2024/25
This module is not approved as a discovery module
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.
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
| Delivery type | Number | Length hours | Student hours |
|---|---|---|---|
| Workshop | 6 | 1.5 | 9 |
| Visit | 1 | 35 | 35 |
| e-Lecture | 6 | 2 | 12 |
| Seminar | 6 | 2 | 12 |
| Independent online learning hours | 12 | ||
| Private study hours | 20 | ||
| Total Contact hours | 68 | ||
| Total hours (100hr per 10 credits) | 100 | ||
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.
Online support provided by all tutors throughout the module.
| Assessment type | Notes | % of formal assessment |
|---|---|---|
| Assignment | 1,000 words maximum | 40 |
| Assignment | 1,000 words maximum | 40 |
| Assignment | 1,000 words maximum | 20 |
| Total percentage (Assessment Coursework) | 100 | |
The resit for this module will be 100% by 3,000 word assignment.
There is no reading list for this module
Last updated: 4/29/2024
Errors, omissions, failed links etc should be notified to the Catalogue Team