6B048E - Aircraft Maintenance Solutions in a Digital Era 01 Sep 2026 - 31 Aug 2032 | Version 0
Associated Module Information
| Module Code: | 6B048E | ||
|---|---|---|---|
| Module Title: | Aircraft Maintenance Solutions in a Digital Era | ||
| Faculty: | Faculty of Computing, Engineering and Science | ||
| Faculty Group: | Engineering | ||
| Faculty Sub Group: | Aircraft Maintenance Engineering | ||
| Module Leader: | Bethan Llewellyn | ||
| Module Team: | Gary Dornan, Emily Simba | ||
| First Intended Intake: | SEP 2026 | Final Year of Intake: | 2031 |
| Date Closed: | |||
| Credit Value: | 30 | Credit Level: | 6 |
| Language: | English | ||
| Percentage of Module Taught in Welsh: | 0 | ||
| Equivalent Module: | |||
| HECOS codes: | 100115 - aerospace engineering | 100359 - artificial intelligence | |
| HECOS Code Weighting: | 50 | 50 | |
Document Version Information
| Version | 0 |
|---|---|
| Valid From | 01 Sep 2026 |
| Valid To | 31 Aug 2032 |
Module Aims
The main aims of the module are to:
Develop a critical understanding of how digital technologies are transforming aerospace maintenance practices, with emphasis on predictive analytics, digital twins, and AI-driven diagnostics, reflecting relevant, industrial advancements and promoting professionalism in the sector.
Equip students with the skills to analyse and apply digital tools and data-driven approaches to solve complex maintenance challenges within regulatory and operational frameworks, fostering accountability, safety, and accessible learning that supports career development and employability.
Foster awareness of the broader implications of digital transformation, including human factors, cybersecurity, ethical considerations, and the importance of leadership in managing change within global aerospace organisations, while promoting sustainability in digital maintenance strategies.
Content Summary
This module explores the evolving landscape of aerospace maintenance within increasingly digitalised environments. Students will critically examine the integration of digital technologies such as predictive analytics, digital twins, AI-driven diagnostics, and blockchain in maintenance operations. Emphasis is placed on regulatory compliance, human factors, cybersecurity, and the challenges of implementing digital systems within legacy aircraft frameworks.
The module promotes professionalism, accountability, and safety by encouraging students to evaluate the impact of digital transformation on maintenance standards and operational integrity. It supports sustainability and global awareness by addressing the environmental and international implications of emerging technologies in the aerospace sector.
Through accessible learning and exposure to industrial practices, students will develop critical thinking through, technical insight and statistical analysis. This contributes to their personal and professional development, enhancing employability and preparing them for future roles in a digitally advanced aerospace industry.
Learning and Teaching Methods
| Activity Type | Hours |
|---|---|
| Guided Study | 30 |
| Demonstration | 8 |
| Seminar | 46 |
| Problem/Challenge based learning | 36 |
| Groupwork | 60 |
| Independent Study | 60 |
| Summative Assessment | 50 |
| Tutorial | 10 |
| Total Hours Selected | 300 |
Learning Outcomes
| # | Learning Outcome |
|---|---|
| LO1 | Evaluate how digital technologies—predictive analytics, digital twins, and AI—reshape aerospace maintenance, focusing on efficiency, safety, compliance, and their relevance to industry, professionalism, sustainability, and global practice. |
| LO2 | Apply digital solutions to complex maintenance challenges while addressing human factors, cybersecurity, ethics, and leadership in a transforming aerospace environment. Demonstrate accountability, use accessible technologies, and build skills that enhance employability and professional growth. |
Module Requisites
N/A
Assessment Criteria
| Assessment Category | Assessment Type | Description | Duration | Word Count | Weight (%) | Best of? | Pass Mark |
|---|---|---|---|---|---|---|---|
| Asynchronous Assessment | Student Choice 1 | Critical analysis of a digital solution in a real-world scenario. | 15 | 2000 | 50 | No | 40 |
| Asynchronous Assessment | Case study | Real world problem – submit business case solution as a written business case. | 0 | 2000 | 50 | No | 40 |
Assessment Matrix
| Assessment Type | Learning Outcomes | ||
|---|---|---|---|
| LO1 | LO2 | ||
| Student Choice 1 | ✔ | ✔ | |
| Case study | ✔ | ✔ | |