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MN52054: Applied retail analytics

[Page last updated: 15 August 2024]

Academic Year: 2024/25
Owning Department/School: School of Management
Credits: 5 [equivalent to 10 CATS credits]
Notional Study Hours: 100
Level: Masters UG & PG (FHEQ level 7)
Period:
Semester 2
Assessment Summary: CWRG 100%
Assessment Detail:
  • Retail Analytics Report (CWRG 100%)
Supplementary Assessment:
Like-for-like reassessment (where allowed by programme regulations)
Requisites:
Learning Outcomes: By the end of the unit, you will be able to:
  • Describe data using statistics and visuals
  • Apply analytics techniques to data
  • Interpret analytics-based results
  • Use analytics-based results to inform retail decision making



Synopsis: Learn to navigate the world of retail-based big data. Working individually and in teams, you will use models, frameworks and tools to transform data into information and insights that will let you to make better retail-related strategic decisions.

Content: The content will relate to retail-based data-analysis, covering the areas of descriptive (e.g., standard reporting and visualization), predictive (e.g., predictive modelling and forecasting), and prescriptive analysis (e.g., optimisation).

Course availability:

MN52054 is Optional on the following courses:

School of Management

Notes:

  • This unit catalogue is applicable for the 2024/25 academic year only. Students continuing their studies into 2025/26 and beyond should not assume that this unit will be available in future years in the format displayed here for 2024/25.
  • Courses and units are subject to change in accordance with normal University procedures.
  • Availability of units will be subject to constraints such as staff availability, minimum and maximum group sizes, and timetabling factors as well as a student's ability to meet any pre-requisite rules.
  • Find out more about these and other important University terms and conditions here.