WORK2345: Work and HR Analytics

2026 unit information

Analytics is becoming increasingly important within human resource management, both as a practice area and scholarly discipline. This is reflected in the growing interest and demand for these skills and capabilities, often referred to as ‘HR analytics’, ‘people analytics’, or ‘workforce analytics’. This unit of study introduces students to current HR research and how the emergence ‘big data’, machine learning, and artificial intelligence (AI) are rapidly reshaping the way in which organisations manage their workforces and how work is organised, managed, and performed. The unit also explores specific aspects and application of how 'big data’ and AI are currently used by firms as part of their HR and workforce planning activities. The unit seeks to enhance students’ data analytics knowledge, skills, and competencies and improve their digital literacy skills to solve people management challenges in modern-day organisations. Students acquire analytical techniques to generate insights from different data sources, including HR metrics, payroll, and labour market data, to support organisations in making evidence-based people management decisions. The weekly topics and exercises provide students with the opportunity to hone their analytical and communication skills and abilities at a strategic and operational level, engaging with processes such as recruitment and selection, talent management, and workforce planning as well as other people management issues like employee turnover, engagement, and organisational productivity. The unit further explores the ‘dark side’ of HR analytics, critically examining issues such as workplace surveillance, and how organisations can be encouraged to use data in an ethical and socially responsible fashion.

Unit details and rules

Managing faculty or University school:

Business (Business School)

Details

Study level	Undergraduate
Academic unit	Work and Organisational Studies
Credit points	6

Enrolment rules

Prerequisites: ?	Completion of 24 credit points of 1000-level units of study
Corequisites: ?	None
Prohibitions: ?	None
Assumed knowledge: ?	WORK1003

Learning outcomes

At the completion of this unit, you should be able to:

LO1. Evaluate and engage with organisational data to identify and address different people management challenges
LO2. Explore specific aspects and application of how 'big data’ and AI are currently used by firms as part of their HR and workforce planning activities
LO3. Apply data analysis techniques to generate insights from people and workforce data sources and enhance data analytics knowledge, skills, and competencies as well as digital literacy skills
LO4. Communicate evidence-based people management recommendations
LO5. Evaluate the importance of using data analytics in an ethical and socially responsible manner and identify various ways for organisations to achieve this

Unit availability

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The outline is published 2 weeks before the first day of teaching. You can look at previous outlines for a guide to the details of a unit.

Session	MoA ?	Location	Outline ?
Semester 2 2025	Normal day	Camperdown/Darlington, Sydney	View

Session	MoA ?	Location	Outline ?
Semester 1 2026	Normal day	Camperdown/Darlington, Sydney	Outline unavailable
Semester 2 2026	Normal day	Camperdown/Darlington, Sydney	Outline unavailable

There are no availabilities for previous years.

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Modes of attendance (MoA)

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