5B005B - Swipe To Buy 01 Sep 2026 - 31 Aug 2032 | Version 1
Associated Module Information
| Module Code: | 5B005B | ||
|---|---|---|---|
| Module Title: | Swipe To Buy | ||
| Faculty: | Faculty of Business and Creative Industries | ||
| Faculty Group: | Fashion, Marketing and Photography | ||
| Faculty Sub Group: | Fashion | ||
| Module Leader: | Emma Jones | ||
| Module Team: | Jennifer Whitney, Sally Phillips | ||
| First Intended Intake: | SEP 2026 | Final Year of Intake: | 2031 |
| Date Closed: | |||
| Credit Value: | 30 | Credit Level: | 5 |
| Language: | English | ||
| Percentage of Module Taught in Welsh: | 30 | ||
| Equivalent Module: | |||
| HECOS codes: | 100075 - marketing | ||
| HECOS Code Weighting: | 100 | ||
Document Version Information
| Version | 1 |
|---|---|
| Valid From | 01 Sep 2026 |
| Valid To | 31 Aug 2032 |
Module Aims
The main aims of the module are:
Enable students to apply technologies to create engaging and effective e-commerce experiences.
Equip students with the skills to interpret data, optimise product visibility, and craft elevated, brand-aligned digital experiences.
Support students in developing skills that blend the creative and commercial required by the contemporary industry.
Content Summary
Students end the year with a portfolio of marketing skills and graduate attributes highly prized by employers and with a competitive advantage for those seeking to undertake an industry experience year.
This module is designed to build on and apply key knowledge and skills acquired during the first two years, resulting in the goal of all marketing strategy – to make a sale.
Fashion retail is increasingly dominated by digital-first practices, requiring graduates to be fluent in AI-enabled retail technologies, data analytics, UX thinking, and platform-native content creation. This module bridges creative and commercial thinking, reflecting industry expectations that marketers can interpret data, optimise product visibility, and craft elevated digital brand experiences.
Swipe To Buy - immerses students in the rapidly evolving world of fashion e-commerce, exploring how brands build seamless digital retail experiences across platforms. Students will work with real-time analytics, AI-driven tools, content optimisation techniques, and customer journey mapping to create data-informed e-commerce strategies. Through a live brief set by an industry partner students will design and prototype an elevated, future-facing e-commerce concept that integrates brand identity, digital retail trends, and customer-centric decision-making.
Powered by Enterprise, Employability, and Entrepreneurship.
Learning and Teaching Methods
| Activity Type | Hours |
|---|---|
| Practical classes & Workshops | 54 |
| Formative Assessment | 2 |
| Guided Study | 184 |
| Summative Assessment | 60 |
| Total Hours Selected | 300 |
Learning Outcomes
| # | Learning Outcome |
|---|---|
| LO1 | Design improved digital fashion shopping experiences. |
| LO2 | Analyse data and brand performance to inform professional e-commerce strategies. |
Module Requisites
N/A
Assessment Criteria
| Assessment Category | Assessment Type | Description | Duration | Word Count | Weight (%) | Best of? | Pass Mark |
|---|---|---|---|---|---|---|---|
| Asynchronous Assessment | Project Output | Students are assessed on the output of a period of project work (other than in the form of a dissertation or written report). Examples are diverse and include the staging of a play or other performance, a piece of artwork, a new product, a poster or a media output. | 0 | 6000 | 100 | No | 40 |
Assessment Matrix
| Assessment Type | Learning Outcomes | ||
|---|---|---|---|
| LO1 | LO2 | ||
| Project Output | ✔ | ✔ | |