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MN52123: People analytics

[Page last updated: 23 October 2023]

Academic Year: 2023/24
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: CWOG 30%, CWRG 70%
Assessment Detail:
  • Evaluating People Analytics Strategy using Secondary Data (CWOG 30%)
  • Case Study Analysis of a Firm's HR and business strategies (CWRG 70%)
Supplementary Assessment:
Like-for-like reassessment (where allowed by programme regulations)
Requisites:
Learning Outcomes: By the end of this unit, participants should have/be able to:
  • Use evidence-based approach to support HR decision-making.
  • Plan, research, test, analyse and classify people practices for the effective management of HR.
  • Employ data-driven methods to diagnose people problems and apply relevant HR strategies.
  • Identify key stakeholders and work with them to develop metrics for measuring people's performance.
  • Apply statistical knowledge and software to simulate people performance with business growth.
  • Assess risk in managing and working with people data.
  • Knowledge of ethical perspectives surrounding data governance which support a sustainable people analytics strategy.
  • Evaluate HR and business strategies to identify the impact of people practices on business performance.



Synopsis: Examine different approaches to data management in HR. You'll learn to locate sources of information and appreciate the value of data-driven approaches to HRM decision-making. You will explore analytical tools and techniques for managing people, with a focus on: - evidence-based management - optimising employee productivity - designing best practices to get competitive advantage

Content: The unit will cover a variety of aspects related to the use and implementation of data, data analyses and its implementation across a wide range of HR topics (selection, recruitment, socialization, promotion and talent management). It also aims to cover the role of big data in recruitment and employee performance management; employee interventions to drive motivation and productivity; the role of data analyses in designing the best fitting HR practices; Stakeholder engagement and building your people analytics strategy; regulatory, statutory, and strategic data management practices; statistical analysis and business simulation.

Course availability:

MN52123 is Compulsory on the following courses:

School of Management

Notes:

  • This unit catalogue is applicable for the 2023/24 academic year only. Students continuing their studies into 2024/25 and beyond should not assume that this unit will be available in future years in the format displayed here for 2023/24.
  • 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.
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