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November - Online
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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
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: 12 November 2021