7B005E - Human Resource Management and Digital Recruitment 01 Sep 2026 - 31 Jul 2032 | Version 0
Associated Module Information
| Module Code: | 7B005E | ||
|---|---|---|---|
| Module Title: | Human Resource Management and Digital Recruitment | ||
| Faculty: | Faculty of Business and Creative Industries | ||
| Faculty Group: | Global Governance | ||
| Faculty Sub Group: | Global Governance | ||
| Module Leader: | Zulfia Abawe, Bharati Rathore | ||
| Module Team: | Andrew Thompson, Adeyemi Aromolaran | ||
| First Intended Intake: | SEP 2026 | Final Year of Intake: | |
| Date Closed: | |||
| Credit Value: | 30 | Credit Level: | 7 |
| Language: | English | ||
| Percentage of Module Taught in Welsh: | 0 | ||
| Equivalent Module: | |||
| HECOS codes: | 100080 - international business | 100085 - human resource management | 100088 - leadership |
| HECOS Code Weighting: | 20 | 60 | 20 |
Document Version Information
| Version | 0 |
|---|---|
| Valid From | 01 Sep 2026 |
| Valid To | 31 Jul 2032 |
Module Aims
Develop students’ critical understanding of the transformative role of AI, predictive analytics, and digital technologies in shaping strategic HRM practices within diverse organisational contexts.
Enable students to apply advanced people analytics and evidence-based approaches in designing innovative, inclusive, and sustainable talent management strategies that address complex global business challenges.
Foster students’ ability to collaborate and consult effectively with organisational stakeholders by communicating actionable, data-driven HR solutions that promote ethical leadership and responsible organisational change.
Content Summary
This module explores the future of Human Resource Management and recruitment in the context of digital transformation, sustainability, and organisational strategy. It critically examines how HR functions evolve in an era of AI-driven talent management, algorithmic recruitment, and predictive workforce planning. Students will engage with key debates around employee experience, organisational culture, and diversity and inclusion in algorithmic systems, while considering ethical, legal, and strategic implications for the future economy. Delivered through challenge-based learning, students will partner with industry to analyse a live HR or recruitment transformation case. The module equips students with the skills to design inclusive, innovative, and future-proof HR strategies that support organisational transformation and sustainable value creation in an increasingly data-driven global workplace.
Learning and Teaching Methods
| Activity Type | Hours |
|---|---|
| Lectures | 9 |
| Seminar | 12 |
| Practical Classes and Workshops | 15 |
| Groupwork | 20 |
| Guided Study | 60 |
| Problem/Challenge based learning | 120 |
| Formative Assessment | 4 |
| Summative Assessment | 60 |
| Total Hours Selected | 300 |
Learning Outcomes
| # | Learning Outcome |
|---|---|
| LO1 | Critically evaluate the impact of AI, predictive analytics, and digital technologies on strategic HRM functions—such as recruitment, selection, and workforce planning—within diverse and evolving organisational contexts. |
| LO2 | Design, apply, and communicate inclusive, data-driven HR and talent management solutions through effective stakeholder collaboration, using people analytics, evidence-based approaches, and contemporary consultancy skills to address real-world business challenges. |
Module Requisites
N/A
Assessment Criteria
| Assessment Category | Assessment Type | Description | Duration | Word Count | Weight (%) | Best of? | Pass Mark |
|---|---|---|---|---|---|---|---|
| Asynchronous Assessment | Portfolio | Group Consultancy Project Presentation (70%) and individual reflection (30%). Up to10 mins per member for group presentation and up to 5 mins per member for individual reflection | 15 | N/A | 100 | No | 40 |
Assessment Matrix
| Assessment Type | Learning Outcomes | ||
|---|---|---|---|
| LO1 | LO2 | ||
| Portfolio | ✔ | ✔ | |