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Human Resource Analytics (MGMT30021)

Undergraduate level 3Points: 12.5Not available in 2025

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Overview

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This subject applies the creation, analysis, utilisation, and application of “people-oriented” analytics to understand organisational behaviour at work and support human resource (HR) decision-making processes.

Students will learn fundamental principles and philosophical underpinnings of adopting an evidence-based approach to managing human resources and human capital. Throughout this subject, students will develop both quantitative and qualitative analytical skills necessary to analyse HR data effectively, informing decisions in human resource management. Moreover, this subject explores the integration of cutting-edge technologies, such as artificial intelligence (AI) and machine learning, in various HR and people management areas, including recruitment, professional development, performance evaluation, compensation, and succession planning.

Intended learning outcomes

On successful completion of this subject, students should be able to:

  • Design HR metrics, collect data, choose appropriate statistical tests, and interpret findings;
  • Recognise the significance of HR analytics in using data effectively to enhance evidence based decision-making in business and management;
  • Develop skills in visualising and presenting data to inform HR decisions to various stakeholders;
  • Comprehend the strategic, operational, and ethical considerations involved in implementing new technologies for collecting, analysing, and leveraging people-related data; and
  • Utilise HR metrics to address business challenges linked to HR policies, practices, and procedures.

Generic skills

On successful completion of this subject, students should have improved the following generic skills:

  • High level of development: problem solving skills; statistical reasoning; written communication; data management; critical analysis.
  • Moderate level of development: verbal communication skills; strategic and operational planning. 

Last updated: 6 November 2025