Human resource management students – but no HR analytics? Modifying the traditional masters dissertation to accommodate students struggling with data

Drew, Hilary; Khan, Mahwish

Abstract

This developmental paper outlines how the Human Resource Management (HRM) module team on a master’s degree programme at a UK University are attempting to shape the curriculum to encourage HRM students to work with data. This is in direct response to as well as to debates within the employment and wider HRM literature around the growing need for HR practitioners to be effective users of data analytics. Moreover, the changes implemented reflect the rise in the number of international students who struggle to conduct self-directed, empirical research. The paper also discusses plans for how this project will feed into pedagogic research on teaching data to HR students, as well as meeting the wider needs of international postgraduate students.

• Presentation Conference Type: Conference Paper (unpublished)
• Conference Name: British Academy of Management
• Start Date: Sep 1, 2023
• End Date: Sep 6, 2023
• Deposit Date: Sep 28, 2023
• Publicly Available Date: Sep 28, 2023
• Public URL: https://uwe-repository.worktribe.com/output/11140267