7B047E - Process Safety and Risk Management 01 Sep 2027 - 31 Aug 2033 | Version 0
Associated Module Information
| Module Code: | 7B047E | ||
|---|---|---|---|
| Module Title: | Process Safety and Risk Management | ||
| Faculty: | Faculty of Computing, Engineering and Science | ||
| Faculty Group: | Built and Sustainable Environment | ||
| Faculty Sub Group: | Built Environment | ||
| Module Leader: | Alan Protheroe | ||
| Module Team: | |||
| First Intended Intake: | SEP 2027 | Final Year of Intake: | 2032 |
| Date Closed: | |||
| Credit Value: | 30 | Credit Level: | 7 |
| Language: | English | ||
| Percentage of Module Taught in Welsh: | 0 | ||
| Equivalent Module: | |||
| HECOS codes: | 100185 - safety engineering | 101040 - risk management | 101049 - health risk |
| HECOS Code Weighting: | 33 | 34 | 33 |
Document Version Information
| Version | 0 |
|---|---|
| Valid From | 01 Sep 2027 |
| Valid To | 31 Aug 2033 |
Module Aims
To develop advanced technical proficiency in hazard identification and quantitative risk assessment, enabling students to evaluate and mitigate failures within complex industrial systems and high-risk environments.
To cultivate a critical understanding of legal frameworks, contrasting UK health and safety legislation with international standards to ensure practitioners can navigate and implement global compliance protocols effectively.
To integrate emerging technologies into safety strategy, specifically focusing on the application of predictive AI and safety analytics to transition from reactive monitoring to proactive accident prevention.
Content Summary
This module introduces Process Safety and Risk Management as a critical component of advanced professional practice within complex organisational and high-hazard contexts. It moves beyond procedural compliance to develop the critical judgement required to lead effective, evidence-based safety strategies in data-driven industries.
You will explore advanced approaches to risk identification, process safety, failure analysis and legal compliance, drawing on UK and international regulatory frameworks. Key themes include incident investigation, development of safety protocols, and the interaction between organisational culture, governance and operational decision-making. The module also examines the growing role of digital and analytical tools, including safety analytics and AI-enabled approaches, in proactive risk management.
Learning is grounded in applied case-based activities and professional scenarios, enabling you to engage critically with academic research, professional standards and sector practice. Emphasis is placed on application and evaluation rather than checklist compliance, supporting you to diagnose complex safety problems, balance ethical and practical trade-offs, and justify robust interventions.
By the end of the module, you will be prepared to apply advanced risk and safety principles credibly within senior professional SHEM roles.
Learning and Teaching Methods
| Activity Type | Hours |
|---|---|
| Practical classes and workshops | 56 |
| Asynchronous Group Activity | 14 |
| Guided Study | 10.5 |
| Independent Study | 119.5 |
| Formative Assessment | 40 |
| Summative Assessment | 60 |
| Total Hours Selected | 300 |
Learning Outcomes
| # | Learning Outcome |
|---|---|
| LO1 | Critically evaluate and apply advanced approaches to risk identification, legal compliance, process safety, failure analysis and protocol development to address complex organisational safety and health challenges. |
| LO2 | Use data-driven and digital methods, including safety analytics, AI applications in complex environments, to produce justified solutions that improve organisational performance and future SHEM practice |
Module Requisites
N/A
Assessment Criteria
| Assessment Category | Assessment Type | Description | Duration | Word Count | Weight (%) | Best of? | Pass Mark |
|---|---|---|---|---|---|---|---|
| Asynchronous Assessment | Portfolio | Individual | 0 | 3600 | 40 | No | 40 |
| Asynchronous Assessment | Report | Synchronous, Onsite | 0 | 3600 | 60 | No | 40 |
Assessment Matrix
| Assessment Type | Learning Outcomes | ||
|---|---|---|---|
| LO1 | LO2 | ||
| Portfolio | ✔ | ✔ | |
| Report | ✔ | ✔ | |