MGF5551 - Human resource management strategy and analytics - 2019

6 points, SCA Band 3, 0.125 EFTSL

Postgraduate - Unit

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.


Business and Economics

Organisational Unit

Department of Management

Chief examiner(s)

Professor Greg Bamber


Professor Greg Bamber

Unit guides



  • First semester 2019 (Off-campus)
  • First semester 2019 (Evening)


Students must have passed MGF5985 or equivalent, or be granted permission by the Chief Examiner to undertake this unit.


Students must be enrolled in course B4001, B5001, B5002, B6006, B6007, B6009 or B6012.


MGF5702Not offered in 2019


This unit is designed to develop student understanding of the theoretical and practical principles of strategic Human Resource Management (HRM). The content acknowledges the importance of societal, industrial and organisational contexts on the impact that HR strategy has on organisational success. The unit also examines potential impacts of digitisation and artificial intelligence (AI) on HRM as well as how the HR function can deploy data analytics to improve the HR function strategically. Special focus is given to the analytic tools available to HR practitioners to analyse and communicate the strength of the HR and organisational performance nexus.


The learning goals associated with this unit are to:

  1. examine the relationship between theories of strategic management and models of strategic HRM
  2. critically analyse the strategic planning and implementation considerations associated with key areas of HRM strategy
  3. critically analyse the potential for human resource management to enhance competitive advantage, organisational performance and sustainability through application of data-driven analysis
  4. identify and examine different perspectives and value systems in strategic human resource management
  5. critically analyse available analytic tools to improve HR performance across the organisation


Within semester assessment: 100%

Workload requirements

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.

See also Unit timetable information