Mechanical Engineering

This module introduces key skills in mechanical design, CAD, project management, and workshop practice. Working in teams, students will take part in a group project based on the IMechE Design Challenge, developing communication, teamwork, and project management skills throughout the process. Students will learn CAD modelling, engineering drawing, and design principles, along with project planning, risk management, and resource allocation in an applied setting. Practical sessions cover core workshop techniques and hand skills essential for engineering practice. The module emphasises real-world engineering by integrating technical, commercial, and organisational factors. Assessment is through group reports and presentations, combining theoretical knowledge with practical application in a collaborative engineering context.

This module introduces core principles of Engineering Dynamics and Electrical Engineering, applying mathematics, natural science, and engineering methods to analyse motion and electrical systems. Kinematics, kinetics, Newton’s laws, energy principles, and circuit theory are used to model linear and rotational systems, recognising limitations of techniques. Activities include interpreting technical literature, investigating systems using laboratory skills, and selecting appropriate materials, equipment, and technologies with awareness of constraints. Circuit diagrams and behaviours under DC and AC supplies are analysed. Emphasis is placed on effective communication in technical contexts, and on planning and recording self-directed learning as a foundation for lifelong development.

This module introduces key principles of engineering materials and structural analysis. It covers stress, strain, beam theory, torsion, thermal stresses, frameworks, and Mohr’s circles for stress and strain analysis in two- and three-dimensional components. Students will explore material testing, properties through bonding mechanisms, strengthening methods, phase diagrams, heat treatment, and corrosion principles and protection. The types and use of polymer materials will be included. Emphasis is placed on the relationship between material structure and performance, and on applying analytical methods to real-world problems. Laboratory sessions support hands-on learning, while assessments include coursework, and coursework to develop skills in selecting materials and analysing simple structures in mechanical engineering contexts.

This module develops core mathematical concepts, notation, and techniques essential for solving complex engineering problems. It reinforces prior knowledge and introduces calculus and algebra to support the application of engineering principles. Emphasis is placed on selecting and applying appropriate analytical techniques, using first principles where necessary, and recognising their limitations. Mathematical knowledge is applied to reach substantiated conclusions across a range of engineering contexts. The module also establishes a foundation for further mathematical study and supports the development of lifelong learning and self-directed development, forming the basis for continued professional development (CPD) in engineering.

This module introduces fundamental manufacturing processes such as casting, forming, machining, and finishing. It explains how materials behave during production and how to choose suitable methods for different applications. Key concepts such as production cost, efficiency, and sustainability are explored, with attention to the environmental and societal impact of manufacturing decisions. The module highlights safety awareness and introduces basic risk identification in industrial settings. It also covers the principles of quality control and continuous improvement. Engineering management and commercial aspects are introduced to provide a broader understanding of modern manufacturing practice within professional engineering environments.

This module introduces core principles of thermodynamics and fluid mechanics, applying mathematics, natural sciences, and engineering principles to complex problems. Key topics include energy transfer, fluid behaviour, and the use of analytical and computational techniques for thermofluid modelling, with attention to methodological assumptions and limitations. Emphasis is placed on evaluating technical literature and data sources to support engineering analysis, and on developing practical investigation skills through laboratory work. Broader considerations such as sustainability, safety, and system performance are addressed. The module also supports effective communication and encourages reflective practice and professional development.

This module integrates mechanical design with computer-aided engineering (CAE) through collaborative, open-ended group projects. It focuses on applying engineering principles to develop, model, and optimise design solutions. Emphasis is placed on system-level thinking, sustainability, ethics, and inclusive practice. Projects involve component selection, CAD modelling, simulation, risk awareness, and consideration of environmental and commercial factors. Students engage in teamwork, project management, and structured reporting, developing communication and leadership skills. The module reflects real-world design practice, encouraging technical decision-making based on legal, societal, and economic constraints, aligned with professional engineering standards.

This module introduces the principles and techniques for the design and analysis of dynamic systems and feedback control. It applies knowledge of mathematics, statistics, natural science, and engineering principles to model and analyse complex mechanical problems. Emphasis is placed on selecting and applying appropriate computational and analytical techniques, recognising their limitations. Technical literature and standards are evaluated to support the solution of complex problems. Practical laboratory and workshop skills are developed through experiments investigating system behaviour. Effective communication of engineering concepts is fostered, alongside planning and recording self-directed learning as part of continuing professional development.

This module extends core mathematical knowledge by introducing a broader range of techniques relevant to the analysis and solution of complex engineering problems. Key topics include differential equations, numerical methods, partial differentiation, determinants, matrices, Laplace transforms, and functions of a complex variable. Emphasis is placed on the accurate selection and application of analytical and computational methods, recognising their limitations within engineering contexts. Mathematical principles are developed through lectures, with discipline-specific sessions offering applied examples. Problem-solving seminars support the use of first principles and the development of confidence in modelling and interpreting engineering systems.

This module covers manufacturing methods and industrial processes, with emphasis on selecting appropriate materials, technologies, and recognising their limitations. It explores quality management systems and continuous improvement within engineering contexts, along with the application of engineering management principles, commercial awareness, and legal considerations such as intellectual property. Simulation modelling and relevant computational techniques are introduced to support process analysis and optimisation. The module supports the design of effective, cost-efficient, and standards-compliant solutions, incorporates principles of risk evaluation and mitigation, and encourages collaboration, leadership, and individual effectiveness in engineering environments.

This module develops a solid understanding of structural integrity, fitness for service, and the mechanical properties of materials and components. It introduces analytical methods for assessing structures under various loading conditions, including axial, bending, and torsional loads. Students will explore fundamental yield criteria and failure theories relevant to design. The module also covers the direct stiffness method as a basis for structural analysis and introduces the formulation and application of Finite Element Analysis (FEA). Composite systems are introduced, with emphasis on their structural behaviour and analysis techniques. Fitness for service and equipment life analyses are covered through various failure mechanisms including Fracture, Metal Fatigue and high temperature Creep. Strength and applications of engineering Aluminium alloys will also be covered through the topic of Age Hardening. Theoretical knowledge is reinforced through worked examples and computational tools.

This module deepens understanding of thermodynamics and fluid mechanics, addressing more complex problems involving entropy, refrigeration cycles, renewable energy systems, turbomachinery, and computational fluid dynamics (CFD). It applies mathematical, and engineering principles to realistic scenarios using first-principles-based analysis and modelling. A range of analytical and computational techniques are employed with critical awareness of their assumptions and limitations, supported by evaluation of technical literature and data. Practical investigation through laboratory experiments and simulation enhances system-level insight. The module also develops the ability to communicate technical findings effectively and includes structured reflection to support continuous improvement and professional development.

The module focuses on two core areas: Finite Element Analysis (FEA) and Structural Mechanics. FEA provides a computational technique to model complex problems by discretising structures into elements with predictable behaviour. These elements are assembled to simulate the response of entire systems, using principles of mathematics and engineering. Structural Mechanics builds on this by applying first principles to analyse statically indeterminate structures, beams on elastic foundations, and thick and thin-walled pressure vessels. Plate theory is also introduced. The module supports the application of analytical and computational techniques, encourages systems thinking, and promotes the evaluation of technical literature in solving complex problems.

This module develops knowledge and skills in integrated powertrain technologies and engineering management for solving complex problems in sustainable transport. It covers internal combustion engines, hybrid and electric drivetrains, fuel cells, battery systems, power electronics, engine management, and vehicle control. Analytical and computational methods are applied with consideration of their limitations, supported by first-principles modelling and technical literature. Practical understanding is enhanced through laboratory work and a design activity focused on fuel cell systems. The module promotes systems thinking, sustainability, risk and security mitigation, inclusive engineering practice, quality assurance, project management, effective teamwork, leadership, and continuous professional development (CPD).

This module explores industrial robotics and automation, focusing on their application in modern manufacturing. It covers robot kinematics, dynamics, control, sensing, and programming, alongside practical use of Programmable Logic Controllers (PLCs), Distributed Control Systems (DCS), and Supervisory Control and Data Acquisition (SCADA). Students apply appropriate technologies while recognising their limitations, evaluate societal and environmental impacts, and address ethical concerns. The module promotes inclusive engineering practices, continuous improvement through quality management, and effective teamwork. Broader topics include Industry 4.0, human-robot collaboration, and economic and security aspects of automation, preparing students for professional roles in advanced manufacturing environments.

This module develops the application of thermodynamics and fluid mechanics to complex power system problems. It covers gas and vapour cycles, mixtures, air conditioning, combustion, inviscid and irrotational flows, boundary layers, drag, lift, open-channel flow, and compressible duct flow (Rayleigh and Fanno). Mathematical and scientific principles are applied using first-principles modelling. Analytical and computational techniques, including turbulent CFD, are used with awareness of limitations. Technical literature supports evaluation. Laboratory and simulation activities enhance practical understanding. The module also builds skills in communicating complex engineering concepts and includes structured reflection for continuous development and lifelong learning (CPD).

The individual project involves working independently on a substantial research or industrially relevant task, requiring critical evaluation of technical literature and other reliable sources of information. It promotes the application of an integrated or systems-based approach to solve complex engineering challenges. The work considers environmental and societal impacts, encouraging the development of solutions that minimise adverse effects. Ethical issues are identified and addressed through reasoned decision-making guided by professional codes of conduct. Risk is assessed and managed using structured processes. The project also develops skills in engineering management, commercial awareness, legal frameworks, effective communication, and continuous professional development.

This module offers an in-depth introduction to Computational Fluid Dynamics (CFD), focusing on practical engineering applications using industry-standard software. It covers the governing equations of fluid flow, including laminar and turbulent models, with emphasis on meshing, convergence analysis, and turbulence modelling. Analytical and computational techniques are applied to complex problems, highlighting their limitations. Technical literature is critically evaluated to support modelling strategies. Communication of engineering outcomes is developed through reports and presentations. The module also encourages self-directed learning, supports continuous professional development (CPD), and introduces advanced topics and current research trends relevant to CFD and thermal-fluid sciences.

This module offers an in-depth introduction to Finite Element Analysis (FEA), focusing on practical engineering applications using industry-standard software. The syllabus introduces students to essential modelling techniques used in real-world engineering practice and professional workflows. The module utilises various element types, including beam elements, thin shell elements, and emphasises the importance of selecting appropriate modelling strategies.  Students will also learn about element compatibility issues and investigate advanced topics such as modal analysis enable students to analyse natural frequencies, while transient analysis under dynamic loading conditions provides insight into time-dependent structural responses.  By the end of the module, students will have acquired skills to both produce and interpreting FEA results.

This module develops a systematic understanding of control system analysis, with emphasis on applying mathematical and engineering principles to complex problems. Key topics include mathematical modelling, system response analysis, stability, and the role of feedback in achieving desired behaviour. Structured analytical approaches are used to formulate and evaluate control problems using first principles, supported by computational techniques where appropriate. The limitations of applied methods are discussed in context. The module integrates theoretical and practical perspectives, supporting the design of solutions that meet performance needs. Effective communication of control concepts across technical contexts is also developed to support professional engineering practice.

This module develops comprehensive knowledge of control system design and measurement techniques to support the solution of complex engineering problems. It covers frequency response analysis, feedback control, and digital control strategies, enabling the formulation and analysis of control challenges using first principles. Emphasis is placed on selecting and applying appropriate analytical and computational techniques, with recognition of their limitations. Key aspects of sensing and measurement are integrated to support the design of control systems that address performance and user needs. Effective communication of complex control concepts is developed across both technical and practical engineering contexts.

In this module, you will examine the societal, professional, and organisational contexts of engineering practice, with emphasis on the full life-cycle of projects and processes. You will develop skills in project and change management, quality systems, risk and security mitigation, and ethical decision-making informed by professional codes. The module highlights sustainability, EDI, and intellectual property rights within engineering solutions. Through a group design project, you will apply engineering technologies, evaluate environmental and societal impacts, and reflect on team effectiveness. This experience will support your ability to lead and manage complex problems responsibly in diverse and interdisciplinary professional environments.

This module focuses on the design of complex mechanical systems using a systems-based and collaborative approach. Emphasis is placed on applying engineering principles to develop innovative solutions that meet societal, environmental, and commercial requirements. Group projects involve the selection and application of appropriate materials, technologies, and processes, supported by computer-aided engineering tools. Sustainability, ethical considerations, security risks, and inclusive engineering practice are embedded throughout. The module also develops skills in project management, communication, and team leadership, with structured reflection on individual and team performance in line with professional engineering standards.

This module provides the principles, technologies, and strategies underpinning the efficient utilisation of energy and the transition towards sustainable energy systems. It critically evaluates conventional and emerging energy technologies, energy efficiency measures, and demand management approaches. The environmental and societal impacts of energy production and use are analysed across the full life cycle, with an emphasis on minimising adverse effects. Consideration is given to clean energy technologies, carbon capture, emissions control, and the influence of regulatory and policy frameworks. A multidisciplinary and systems-based approach is adopted, integrating engineering, environmental, economic, and social dimensions to design sustainable and inclusive energy solutions.

This module provides an advanced study of two- and three-dimensional dynamics and vibration in engineering systems, with emphasis on multi-degree-of-freedom modelling and computational vector analysis. Complex dynamic problems are solved using analytical and numerical techniques, including Finite Element Analysis (FEA), with clear discussion of method limitations. Practical and computational skills are developed through simulation-based investigations, supported by risk evaluation within engineering design. The module integrates critical literature analysis, effective technical communication, and reflective practice. Self-directed learning is embedded throughout to support continuing professional development and the foundation for lifelong learning in advanced mechanical system analysis.