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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.