Module manager: Dr Boshuo Guo
Email: b.guo1@leeds.ac.uk
Taught: Semester 2 (Jan to Jun) View Timetable
Year running 2026/27
This module is not approved as an Elective
This module provides students with the opportunity to gain fundamental knowledge, methods and techniques of using data in management research to facilitate managerial decisions. From this module students will learn what data can be used in management research; how to analyse the data quantitatively; how to make decisions based on data analysis results.
The role of this module is to inform students in state-of-the-art methods and techniques for contemporary fashion management.
Through this module students will gain a broad understanding of contemporary statistical skills, relevant to global fashion business and applicable to digital fashion marketing and management.
Students will have the opportunity of learning:
* How to choose data sources and analytical approaches in management research;
* How to analyse the data quantitatively;
* How to make management decisions based on the data analysis results.
On completion of this module, students will have provided subject specific evidence of being able to:
1. Identify, evaluate and compare multiple sources of data in management research.
2. Develop research questions and hypotheses through the assessment of management opportunity in the fashion industry
3. Choose appropriate data sources to use through the assessment of management opportunity, conduct the related quantitative analysis and interpreting the results
On successful completion of the module students will have demonstrated the following skills learning outcomes
On successful completion of the module students will have demonstrated the following skills learning outcomes:
4. Conduct statistical analysis on quantitative data.
5. Interpret results of quantitative analysis
6. Apply statistical software basic skills
Details of the syllabus will be provided on the Minerva organisation (or equivalent) for the module
| Delivery type | Number | Length hours | Student hours |
|---|---|---|---|
| Supervision | 1 | 1 | 1 |
| Class tests, exams and assessment | 1 | 3 | 3 |
| Lecture | 8 | 2 | 16 |
| Practical | 4 | 2 | 8 |
| Private study hours | 122 | ||
| Total Contact hours | 28 | ||
| Total hours (100hr per 10 credits) | 150 | ||
Students have the following opportunities to receive formative feedback:
1.Mock exam
2. Seminars will be used to provide students with feedback on their practices of using software to carry out data analysis.
| Exam type | Exam duration | % of formal assessment |
|---|---|---|
| Open Book exam | 3.0 Hrs 0 Mins | 100 |
| Total percentage (Assessment Exams) | 100 | |
Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated
Check the module area in Minerva for your reading list
Last updated: 02/06/2026
Errors, omissions, failed links etc should be notified to the Catalogue Team