MGO5220 Workforce and employment analytics
Faculty of Business and Economics
MGO5220 Workforce and employment analytics is a level 5, 6-credit-point, postgraduate unit from the Faculty of Business and Economics. It isn't offered in 2023. It has no prerequisites.
- Credit points
- 6
- Offered in 2023
- Not offered
- Assessment
- No exam
- 1 task
- Workload
- 144 hours
- per semester
This is the 2023 handbook entry. See the 2027 entry.
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Requisites
Before MGO5220
No prerequisites or corequisites besides the enrolment rules below.
After MGO5220
No unit lists MGO5220 as a prerequisite in the 2023 handbook.
Enrolment rules
You must be enrolled in a Monash Online course to undertake this unit.
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 in 2023
The 2023 handbook lists no offerings for MGO5220.
Assessment
- Within semester assessment100%
Learning outcomes
When you finish this unit, you should be able to:
- 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.
Workload and teaching
- Teaching approachActive learning
- Teaching approachProblem-based learning
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. The unit requires on average three/four hours of scheduled activities per week. Scheduled activities may include a combination of teacher directed learning, peer directed learning and online engagement.
This unit engages students in actively applying their knowledge, skills and attributes in interactive, collaborative and reflective activities.
This unit includes problem-based learning approaches, where students engage in research, integrate theory and practice and apply knowledge and skills to develop viable solutions in response to a problem or set of problems.
Common questions
What are the prerequisites for MGO5220?
MGO5220 has no prerequisites, but enrolment rules apply.
When is MGO5220 offered?
MGO5220 has no offerings listed in the 2023 handbook.
How much work is MGO5220?
The handbook expects about 144 hours of study across the semester. No students have rated its difficulty yet.
Does MGO5220 have an exam?
No. MGO5220 has 1 assessment task and no exam.