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Module Specifications..

Current Academic Year 2023 - 2024

Please note that this information is subject to change.

Module Title HR Analytics & Storytelling
Module Code HR5011
School DCUBS
Module Co-ordinatorSemester 1: Margaret Heffernan
Semester 2: John McMackin
Autumn: John McMackin
Module TeachersMargaret Heffernan
John McMackin
Amy Randall
NFQ level 9 Credit Rating 5
Pre-requisite None
Co-requisite None
Compatibles None
Incompatibles None
Coursework Only

This module aims to develop the capabilities required to apply HR analytics to link human resource decisions to business outcomes and organisational performance. The module provides a grounding in the basic principles of people analytics and will explore how HR data from both internal and external sources can be used to create value by supporting business and people related decision making. We will also practice the use of storytelling techniques to make an impact with HR data.

Learning Outcomes

1. Recognise the value of people analytics in supporting evidence-based decision making and achievement of business objectives
2. Understand where people analytics fits within the concept of big data.
3. Demonstrate how tools such as Data Visualisation can be applied in the analysis of HR data
4. Communicate effectively with stakeholders using data and data analytics
5. Demonstrate how the skills of data driven storytelling can be applied to have a positive influence on people related decision making
6. Devise a strategy for the application of HR Analytics to add value in a HR function

Workload Full-time hours per semester
Type Hours Description
Lecture24Classroom and/or online lectures
Independent Study40Assigned readings and preparation for lectures
Assignment Completion36Researching and Writing Individual Essay
Class Presentation25Research, prepare and deliver in class presentation
Total Workload: 125

All module information is indicative and subject to change. For further information,students are advised to refer to the University's Marks and Standards and Programme Specific Regulations at: http://www.dcu.ie/registry/examinations/index.shtml

Indicative Content and Learning Activities

Module content will include assigned readings, case studies, lectures, guest speakers and in class presentations

Assessment Breakdown
Continuous Assessment100% Examination Weight0%
Course Work Breakdown
TypeDescription% of totalAssessment Date
Group presentationStudents will work in pairs to develop and deliver a presentation demonstrating the application of skills of HR data analysis and storytelling to a HR issue30%n/a
EssayAn individual essay of 3,000 words outlining the process they would use to develop a sustainable HR analytics capability in a HR function that does not currently have this. The essay will identify the factors that would need to be considered, the process the would recommend and the critical success factors70%n/a
Reassessment Requirement Type
Resit arrangements are explained by the following categories;
1 = A resit is available for all components of the module
2 = No resit is available for 100% continuous assessment module
3 = No resit is available for the continuous assessment component
This module is category 1
Indicative Reading List

    Other Resources

    Programme or List of Programmes
    MHRMSc in Leadership and People Strategies
    MSLDMSc in Strategic Learning & Development

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