This module introduces students to established and emerging practices associated with Human Resource Analytics (HRA). It aims to develop student's ability to understand the processes of gathering, analysing, leveraging and maximizing externally and internally available data to contribute to strategic human resource decision-making within organisations. The module focuses on developing an understanding of the basic technical aspects of HRA, as well as professional, transferable skills required in the current business context in which technology plays a key role in the way in which people work and are managed in organisations.¿¿

The strategic importance of evidence-based decision-making within the HR function; Business case for utilising advanced HR analytics techniques; The dimensions of successful HRA including alignment with strategy, competencies, technology, data sources, ethics and outcomes for the workforce and business; Ways in which HRA can be used across key areas including recruitment, employee performance, employee engagement and sustainability; Identifying, gathering, analysing, collating and presenting HR data for use in effective decision-making.

On successful completion of this module, students will be able to: Critically appraise the impact of HR decisions on both workplace outcomes and organisational strategy considering the broader operational/strategic/financial implications of those decisions¿¿ Demonstrate the value of evidence-based decision-making within the HR function to solve organisational problems using the best available scientific evidence, organisational data and available external data where appropriate Identify the appropriate technology and analytical strategies that will support the HR function in making evidence-based decisions Apply analytical tools to understand and evaluate HR data to generate problem-solving solutions

On successful completion of this module, students will be able to: Effectively communicate the value of HR data to inform and influence organisational decision-making

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Technology is transforming traditional HR functions such as hiring, training and reward management, and in this module, students will be enabled to develop sets of competencies and skills to perform in this changing landscape. While lectures are used to explain the core underpinnings of each concept, this module adopts an experiential, exploratory, and conversational approach to facilitate a more nuanced understanding of human resource analytics. As such, it provides key opportunities for high levels of in-class interaction.¿¿The best way to learn is through participation. Students are expected to actively participate in all classroom activities and sessions.¿This module requires reflection and self-directed learning.¿ During this module, students will develop a number of the UL graduate attributes. They will have the opportunity become curious (problem-solver, critical, knowledgeable, inquisitive, imaginative), having to use their knowledge to critically assess information and identify solutions. They will also be encouraged to be responsible (personally, socially, professionally, sustainably and ethically responsible) for their contribution to both individual and group elements of the module. Finally, through both written and group presentation components of the module they will be supported in developing their ability to convey ideas professionally and effectively, enabling them to become articulate (strong inter and intra-personal skills, empathetic, collaborative).¿