Module: People Analytics & Storytelling

Latest Module Specifications

Current Academic Year 2025 - 2026

Module Title	People Analytics & Storytelling
Module Code	MNA1055 (ITS: HR5011)
Faculty	DCU Business School	School	DCU Business School
NFQ level	9	Credit Rating	5

Description

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

*Type*	*Hours*	*Description*
Workload	Full time hours per semester
Lecture	24	Classroom and/or online lectures
Independent Study	40	Assigned readings and preparation for lectures
Assignment Completion	36	Researching and Writing Individual Essay
Class Presentation	25	Research, prepare and deliver in class presentation
Total Workload: 125

Section Breakdown
CRN	11063	Part of Term	Semester 1 & 2
Coursework	0%	Examination Weight	0%
Grade Scale	40PASS	Pass Both Elements	Y
Resit Category	RC2	Best Mark	N
Module Co-ordinator	Claire Gubbins	Module Teacher	John Mcmackin, Triona Bartholin

Type	Description	% of total	Assessment Date
Assessment Breakdown
Group presentation	Students will work in pairs to develop and deliver a presentation demonstrating the application of skills of HR data analysis and storytelling to a HR issue	30%	n/a
Essay	An 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 factors	70%	n/a

Reassessment Requirement Type
Resit arrangements are explained by the following categories; RC1: A resit is available for both^* components of the module. RC2: No resit is available for a 100% coursework module. RC3: No resit is available for the coursework component where there is a coursework and summative examination element. ^* ‘Both’ is used in the context of the module having a coursework/summative examination split; where the module is 100% coursework, there will also be a resit of the assessment

Pre-requisite	None
Co-requisite	None
Compatibles	None
Incompatibles	None

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

Indicative Reading List

Books:
None

Articles:
None

Other Resources

None