MGO5220 · Workforce and employment analytics

Overview

Synopsis: Contemporary human resource management (HRM) practice is increasingly relying on data to inform an organisation’s HR strategy. Digitalisation and existing business systems in organisations can hold an abundance of people related data sets which can be used to generate insights and evidence for effectively managing a workforce. This unit introduces data analytics concepts in the context of HRM and people management. You will learn how modern analytical tools can be used to visualise and meaningfully communicate insights from HR-centric data and how predictive analytics can be applied to various areas HRM (e.g. predicting employee attrition).

Offerings

Assessment

The Handbook does not list a final examination among the assessment items. That is not a guarantee there is none.

Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.

Requisites

The Handbook lists no prerequisite, corequisite or prohibition for this unit.

Learning outcomes

1. demonstrate an understanding of the role and value of data in improving workforce processes and informing people management decisions
2. understand what key components are involved for delivering effective workforce analytical solutions
3. develop an awareness of modern analytical tools used to analyse workforce-related data to address HR problems and identify HR opportunities
4. recognise and identify the ethical considerations with using workforce and employment data for HRM.
5. demonstrate knowledge or skills for crafting sustainable futures for people, organisations, communities, and/or the environment.

Workload

Minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of scheduled learning activities and independent study. Independent study may include associated readings, assessment and preparation for scheduled activities. You are expected to complete all pre-class activities prior to your scheduled class, and post-class activities should be completed after your scheduled class. Learning activities may include a combination of teacher directed, peer directed and online engagement activities.

Student experience, not official rules. Nothing here changes what the Handbook says.