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MN30820: People analytics

[Page last updated: 23 May 2025]

Academic Year: 2025/26
Owning Department/School: School of Management
Credits: 12 [equivalent to 24 CATS credits]
Notional Study Hours: 240
Level: Honours (FHEQ level 6)
Period:
Semester 1
Assessment Summary: CWES 25%, CWRG 75%
Assessment Detail:
  • MN32210 Detailed examination of data analyses tools and predictive HR strategies of a company (CWRG 75%)
  • MN32210 Critically reflective essay on group task (CWES 25%)
Supplementary Assessment:
Like-for-like reassessment (where allowed by programme regulations)
Requisites:
Learning Outcomes: - Appreciate the value of data. - Examine and integrate different approaches to data management in HR. - Integrate analytical tools in their decision making. - Link data to decision making within the field of HR. - Execute HR related decisions with the help of HR data. - Evaluate and implement different HR analytic tools.


Synopsis: You will develop a strong foundational understanding of how data is structured and can be analysed to further understand the attitudes and behaviour of the people within an organisation. The role of predictive data analytics, AI, and big data within the human resource management function will be explored. You will be encouraged to solve realistic people management problems using data and analytic tools. In doing so you will enhance your critical thinking and curiosity.

Content: - The basics and introduction to HR analytics - Moving from reporting data to HR analytics - Data analysis using descriptive statistics and other methodologies - Examining causal models and predictive analyses, particularly in relation to performance/employee behaviour - The business value of retention

Course availability:

MN30820 is Optional on the following courses:

Department of Chemistry
  • USCH-AAB04 : BSc(Hons) Chemistry with Management with Study year abroad (Year 4)
  • USCH-AKB04 : BSc(Hons) Chemistry with Management with Industrial Placement (Year 4)
  • USCH-AKM07 : MSci(Hons) Chemistry with Management with Industrial Placement (Year 4)

Notes:

  • This unit catalogue is applicable for the 2025/26 academic year only. Students continuing their studies into 2026/27 and beyond should not assume that this unit will be available in future years in the format displayed here for 2025/26.
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