Postgraduate Programme and Module Handbook 2023-2024 (archived)
Module BUSI4R015: Retail Analytics
Department: Management and Marketing
BUSI4R015: Retail Analytics
Type | Tied | Level | 4 | Credits | 15 | Availability | Available in 2023/24 | Module Cap | None. |
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Tied to | G5K709 |
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Prerequisites
- None
Corequisites
- None
Excluded Combination of Modules
- None
Aims
- To provide students with a systematic way of understanding the role of data in management decision-making across the retail and distributive industries
Content
- Fundamentals of retail management
- Retail strategies - single-channel, multi-channel, omni-channel
- Location management and intelligent network planning
- Retail mix elements
- Retail communication and customer relationship management
- Concepts in retail data analysis
- Data requirements for market segmentation - geodemographic, psychographic, behavioural
- Key metrics - Customer Lifetime Value, Marketing ROI, etc.
- Brand management metrics
- Financial analytics in retail and distribution management
Learning Outcomes
Subject-specific Knowledge:
- On completion of the module students should:
- have a critical appreciation of the use of data in the retail and distributive trades;
- be able to identify, collect, analyse and apply appropriate retail data forms and techniques;
- have an advanced understanding of when data analytics might add value to the retail decision-making process.
Subject-specific Skills:
- On completion of the module students should:
- be able to scope data requirements from the description of a retail situation;
- be able to understand customer behavioural data and conduct analysis on it;
- be able to apply retail science to the analysis of real-world business situations.
Key Skills:
- Effective written communication
- Planning, organising and time management
- Problem solving and data analysis
- Making effective use of communication and information technology
Modes of Teaching, Learning and Assessment and how these contribute to the learning outcomes of the module
- The learning outcomes will be met through a combination of lectures, workshops and groupwork (including group discussion of case examples, data analysis exercises and a retail audit), together with individual exercises and guided reading.
- The summative assessments of the module are designed to test students' understanding and critical appreciation of the key concepts associated with retail analytics techniques, and their ability to discuss the data requirements for each stage in the process of setting up and managing a small business.
Teaching Methods and Learning Hours
Activity | Number | Frequency | Duration | Total/Hours | |
---|---|---|---|---|---|
Lectures | 10 | 1 a week | 2 hours | 20 | ■ |
Seminars | 4 | 1 every two weeks | 1 hour | 4 | ■ |
Preparation and reading | 126 | ||||
Total | 150 |
Summative Assessment
Component: Assignment | Component Weighting: 100% | ||
---|---|---|---|
Element | Length / duration | Element Weighting | Resit Opportunity |
Individual written assignment | 3000 words (maximum) | 100% |
Formative Assessment:
Team project, based on a retail audit
■ Attendance at all activities marked with this symbol will be monitored. Students who fail to attend these activities, or to complete the summative or formative assessment specified above, will be subject to the procedures defined in the University's General Regulation V, and may be required to leave the University