HR Analytics (MGMT90261)
Graduate courseworkPoints: 12.5Online
Please refer to the return to campus page for more information on these delivery modes and students who can enrol in each mode based on their location.
Overview
| Availability | November - Online |
|---|---|
| Fees | Look up fees |
In this subject, students will learn about “people-oriented” data, how to analyse it, and how to apply this data analysis to managerial decision making related to HR and human capital. This subject also covers knowledge and skills that links HR metrics to business strategy and organizational performance by utilizing evidence-based research. Students will gain knowledge in fundamental and philosophical grounds of a “HR data-driven” approach to management. Furthermore, students will learn how to design HR metrics, collect data, choose appropriate statistical tests, and interpret findings. Specifically, this seminar involves practical learning on data driven decision making techniques for human capital and managerial issues such as recruiting, absenteeism, turnover, training evaluation, and performance management.
Intended learning outcomes
On successful completion of this subject, students should be able to:
- Gain knowledge and skills associated with people-oriented data analytics
- Identify implications of HR analytics for effective use of data to add evidence-based value to their organization's HR decisions
- Assess the process whereby HR metrics can be linked to organizational strategy, HR strategy, and organizational performance
- Develop skills in using statistical techniques and visualizing and presenting data to inform HR decisions
- Apply skills in data analysis and critical thinking to identify, evaluate and/or communicate strategic and operational issues suited to HR policies, practices, and procedures
Generic skills
On successful completion of this subject, students should have improved the following generic skills:
- Critical analytical skills, which should be developed through HR analytics projects, groups discussion and case studies
- Problem-solving skills, which should be developed through case studies and HR analytics projects that will require students to evaluate the appropriateness of using HR data to formulate organisational decision-making processes
- Verbal and written communication skills, which should be developed through group discussions and case study analyses
Last updated: 9 April 2024
Eligibility and requirements
Prerequisites
None
Corequisites
None
Non-allowed subjects
None
Inherent requirements (core participation requirements)
The University of Melbourne is committed to providing students with reasonable adjustments to assessment and participation under the Disability Standards for Education (2005), and the Assessment and Results Policy (MPF1326). Students are expected to meet the core participation requirements for their course. These can be viewed under Entry and Participation Requirements for the course outlines in the Handbook.
Further details on how to seek academic adjustments can be found on the Student Equity and Disability Support website: http://services.unimelb.edu.au/student-equity/home
Last updated: 9 April 2024
Assessment
| Description | Timing | Percentage |
|---|---|---|
Individual written assignments (5 x 300 words)
| Throughout the teaching period | 20% |
Team case/problem analysis (groups of 3-4)
| 2 Weeks after the end of teaching | 30% |
Take home examination
| 1 Weeks after the end of teaching | 50% |
Last updated: 9 April 2024
Dates & times
- November - Online
Coordinator Daejeong Choi Mode of delivery Online Contact hours 6 x 6-hour seminars Total time commitment 170 hours Teaching period 22 November 2021 to 3 December 2021 Last self-enrol date 22 November 2021 Census date 3 December 2021 Last date to withdraw without fail 10 December 2021 Assessment period ends 24 December 2021 November contact information
Last updated: 9 April 2024
Further information
- Texts
- Related Handbook entries
Last updated: 9 April 2024