| Module Title |
People Analytics & Storytelling |
| Module Code |
MNA1055 (ITS: HR5011) |
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Faculty |
DCU Business School |
School |
DCU Business School |
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NFQ level |
9 |
Credit Rating |
5 |
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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.
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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
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| Workload | Full time hours per semester | | Type | Hours | Description |
|---|
| 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 |
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| Section Breakdown | | CRN | 11063 | Part of Term | Semester 1 & 2 | | Coursework | 100% | Examination Weight | 0% | | Grade Scale | 40PASS | Pass Both Elements | N | | Resit Category | RC2 | Best Mark | N | | Module Co-ordinator | Claire Gubbins | Module Teacher | John Mcmackin, Triona Bartholin |
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| Assessment Breakdown |
| Type | Description | % of total | Assessment Date |
|---|
| 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
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Pre-requisite |
None
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Co-requisite |
None |
| Compatibles |
None |
| Incompatibles |
None |
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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
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Indicative Content and Learning Activities
Module content will include assigned readings, case studies, lectures, guest speakers and in class presentations
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Indicative Reading List
Books:
None
Articles:
None |
Other Resources
None |
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