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LB5404 - HR Analytics and Decision Making

Credit points: 3
Year: 2023
Student Contribution Band: Band 4
Administered by: College of Business, Law & Governance

This course builds upon human resource management foundation concepts and utilizes HRIS and analytics for more effective decision making. Managers will learn to align HR metrics to attain organisational goals and objectives. Topics include data analysis and interpretation, balanced scorecards, forecasting and projections, quantitative analysis including calculating HR ratios and returns, HR metrics and benchmarking, and evaluating HRIS to meet organisational needs.

Learning Outcomes

  • develop and apply HR metrics and balanced scorecards using organisational data and HRIS (record, maintain, retrieve, analyse) databases for benchmarking, goal-setting and planning to support strategic decision making;
  • evaluate and make recommendations on the appropriate HRIS to meet organisational human resource management needs and personnel decisions;
  • analyse and interpret trends and indicators using statistical methods for making forecasts and projections.

Subject Assessment

  • Written > Examination (centrally administered) - (30%) -
  • Oral > Presentation 1 - (40%) -
  • Participation > Class participation - (30%) - .
Assumed
Knowledge:
Introductory human resource management (HRM) Statistics
Prerequisites: LB5402

Availabilities

JCU Singapore, Study Period 51, Internal
Census Date 06-Apr-2023
Coordinator: Dr Adrian Bradshaw
Lecturer: Dr Lisa Tombalakian.
Workload expectations:

The student workload for this 3 credit point subject is approximately 130 hours.

  • 20 hours lectures - may include recorded presentations, online activities & self-learning activities inclusive of lectures, via LearnJCU
  • 20 hours tutorials - may include recorded presentations, online activities & self-learning activities inclusive of synthesising sessions, via LearnJCU
  • assessment and self-directed study

JCU Singapore, Study Period 53, Internal
Census Date 30-Nov-2023
Workload expectations:

The student workload for this 3 credit point subject is approximately 130 hours.

  • 20 hours lectures - may include recorded presentations, online activities & self-learning activities inclusive of lectures, via LearnJCU
  • 20 hours tutorials - may include recorded presentations, online activities & self-learning activities inclusive of synthesising sessions, via LearnJCU
  • assessment and self-directed study

Note: Minor variations might occur due to the continuous Subject quality improvement process, and in case of minor variation(s) in assessment details, the Subject Outline represents the latest official information.