Advanced Engineering Technologies – MSc

Develops advanced understanding of material behaviour and structural response for engineering components and systems. The module provides a common mechanics foundation for evaluating performance, durability and failure across high-value engineering applications.

Examines how circular-economy principles and sustainability can be integrated into engineering technology, materials and manufacturing decisions. It connects lifecycle thinking with resource use, recycling, policy and the transition towards more sustainable products, processes and technology systems.

Provides a shared advanced-materials foundation through polymer science, processing and characterisation. Students consider how polymer structure, processing history and material properties interact, and how those relationships influence engineering performance and material selection across multiple sectors.

Develops an advanced understanding of quality management, validation, risk and regulatory practice in high-value engineering sectors. The module links technical decision-making with the systems and evidence required to control engineering processes, manage risk and operate effectively in regulated environments.

Provides the methodological and professional foundation for Level 9 research and evidence-led engineering practice. It prepares students to define researchable problems, select appropriate methods, analyse evidence and data, address ethics and communicate technically robust conclusions.

Provides the shared strategic and interdisciplinary core for Semester 2. It develops the ability to lead and evaluate innovation, integrate emerging technologies across disciplinary boundaries, and translate engineering ideas into credible product, process, organisational or commercial outcomes.

Students must complete the Innovation, Leadership and Convergent Technoloies module and select a specialisation stream.

Develops advanced capability in polymer testing, characterisation and interpretation. The emphasis is on translating characterisation data into technically justified decisions about material performance, material selection, failure and engineering application.

Develops advanced knowledge of polymer-processing methods, product and tooling design, and process optimisation. It links component design to manufacturing behaviour and explores emerging approaches that can improve control, flexibility and performance in polymer manufacture.

Provides the biomedical and physiological foundation needed to understand how engineered products, materials and devices interact with the human body. It gives students from multiple engineering backgrounds the biological context needed for medtech, biomaterials and regulated high-value manufacturing applications.

Develops advanced understanding of biomaterial properties, processing, characterisation and performance. The module connects material science with biological function, degradation, surface behaviour and the regulatory requirements that shape biomedical-material selection and development.

Develops the engineering methods required to translate clinical or user needs into medical-device concepts and technically defensible designs. It integrates design, prototyping, engineering evaluation, risk, validation, regulation and manufacturing considerations across the device-development lifecycle.

Provides the biomedical and physiological foundation needed to understand how engineered products, materials and devices interact with the human body. It gives students from multiple engineering backgrounds the biological context needed for medtech, biomaterials and regulated high-value manufacturing applications.

Develops advanced capability in digital and connected manufacturing. Students examine how Industry 4.0 technologies, data and integrated digital workflows can be used to improve production visibility, manufacturing performance and engineering decision-making.

Focuses on the design, integration and optimisation of advanced production systems. It develops a system-level view of manufacturing in which workflow, scheduling, automation, data and operational performance must be considered together.

Provides the biomedical and physiological foundation needed to understand how engineered products, materials and devices interact with the human body. It gives students from multiple engineering backgrounds the biological context needed for medtech, biomaterials and regulated high-value manufacturing applications.

Develops advanced capability in digital and connected manufacturing. Students examine how Industry 4.0 technologies, data and integrated digital workflows can be used to improve production visibility, manufacturing performance and engineering decision-making.

Develops advanced automation, control and systems-integration capability for modern industrial environments. It addresses the design and evaluation of control strategies and the integration of automation technologies with machines, processes and manufacturing systems.

Introduces applied machine-learning and artificial-intelligence methods in an automation-engineering context. Students consider how data-driven models can support prediction, optimisation, fault detection and intelligent decision-making within industrial and robotic systems.

Develops advanced understanding of renewable-energy technologies and their integration within sustainable energy systems. The module considers technical performance together with lifecycle, resource and decarbonisation implications.

Develops the economic and decision-making capability needed to evaluate energy systems and resource use. It connects engineering performance with costs, markets, policy and resource optimisation so that technology choices can be evaluated on both technical and economic grounds.

Provides an applied engineering treatment of renewable-energy utilisation and system evaluation. Students use engineering analysis and modelling to consider how renewable technologies can be applied, integrated and assessed for specific technical contexts.

A substantial professional and work-based learning experience undertaken in an appropriate industrial or professional setting. The module enables students to integrate advanced engineering knowledge, research-informed problem solving and professional practice around a significant workplace challenge or project.

A substantial independent research dissertation addressing a significant engineering or technology problem. The dissertation integrates advanced technical knowledge with research methodology, evidence analysis and professional judgement, allowing the student to make a sustained, technically defensible contribution to an authentic problem.