Engineering with Law MEng

To develop the design skills required by students studying in all engineering disciplines, thereby supporting their journey through Higher Education and into their professional life with the intention of maximising their employability. Skills development in the following areas will be addressed: 

• Problem solving
• Engineering design
• Introductory project management
• Engineering Communication
• Working in inclusive teams
• Health and safety
• Sustainability and Security

• To introduce students with the core principles and values underpinning the work of engineers, its breadth and impact on society and the responsibilities that arise as a result, via a combination of general principles and specific case studies.
• To provide guidance on the typical career of an engineer and introduce the standards set by the Engineering Council, which must be met to qualify for each relevant professional title.
• To allow engineering students to develop the skills required to thrive in their journey through Higher Education and into their professional life, so that they can develop their full potential, maximising their academic performance, work productivity and their employability, while achieving a satisfactory and healthy work-life balance.

The aim of this module is to introduce students to some of the main engineering concepts applied across all engineering disciplines. The module will cover basic principles of measurement and uncertainty, application of Newtonian physics to design and analyses of objects and engineering systems, and the basics of fluid’s behaviour. The module will provide students with an opportunity to gain experience and confidence in problem-solving in both a theoretical and practical manner.

The main aims of the module are to develop students’ understanding of the contemporary electronic and computer engineering professions, and their understanding of what being a Chartered Engineer involves. This includes developing student’s expertise in both understanding and designing basic analogue and digital electronic systems.

The aim of this module is to develop students’ ability to understand and apply fundamental methods of engineering mathematics that are relevant to computer systems.

This study block aims to explain:

Legal principles applicable to legally binding agreements between parties and the effects of any defects in their formation or performance, including a detailed knowledge, examination and understanding of:

• the essential elements required to form legally binding contracts
• the obstacles that affect the formation of contractual agreements, including those elements that vitiate consent
• the content of legally binding contractual agreements
• termination & remedies.

The civil Justice system and procedures in England and Wales such as:

• the ‘doctrine of precedent.’
• main types of civil proceedings and how these differ from each other in terms of procedure and evidence.
• Key stages of a civil claim.
• Analyse and apply the relevant procedural rules to case scenarios
• Drafting of documents.

This module aims to develop students’ understanding of the contemporary electronic and computer engineering professions, and their understanding of what being a Chartered Engineer involves. This includes developing student’s expertise in understanding and designing basic digital electronic systems.

• To provide a grounding in the fundamental principles of engineering mechanics, including statics and dynamics of rigid bodies.
• To provide knowledge and understanding of engineering materials and manufacturing processes relevant to engineering applications.
• To provide experience and confidence in problem-solving.

This module aims to introduce the principles of sensors, computer control, and automation within engineering systems. Students will develop an understanding of sensor technologies and measurement principles alongside fundamental concepts of automation and control. The module also supports the development of practical skills in the analysis, design, and application of automated and computer-controlled systems relevant to modern engineering practice.

This module aims to develop knowledge and understanding to successfully appreciate, create and manage different networks depending on the various needs of the hosting environment, and to develop knowledge and understanding of the fundamental issues and methods for maintenance of data security in servers and networks, and in particular of internet traffic.

To reinforce and develop:

• microcontroller based engineering design, personal and transferable skills appropriate to students' scheme of studies
• business aspects of engineering enterprise
• student preparedness for work placement and employment.

Students will develop knowledge and skills in developing and applying artificial intelligence and machine learning algorithms, techniques, and methodologies.

To familiarise students with the key principles that underpin this branch of the common law and to introduce them to the main aims of functions of tort and its role in apportioning losses in modern society.

• To develop an understanding of digital systems and microcontroller architecture from a practical engineering perspective.
• To develop students’ appreciation of fundamental algorithms, roles, limitations of CAD tools used in digital systems design and their limitations.
• To give a practical insight in the design, implementation and testing of Digital systems.
• To develop the underlying knowledge and give a practical insight in today’s embedded systems design using microcontrollers.

This module will introduce students to the fundamental principles of fluid mechanics and their application to biomedical engineering systems. Students will develop an understanding of the behaviour of fluids at rest and in motion, including the analysis of fluid properties, flow behaviour, and conservation laws. The module also supports the application of theoretical concepts to practical engineering problems, enabling students to analyse and model fluid flow in a range of biomedical engineering contexts.

• To establish a solid foundation for the analysis of solids and structures based on the fundamental principles of continuum mechanics
• To introduce analytical and numerical methods for the solution of continuum-mechanics problems
• To link models and engineering applications with a range of real-life examples, experimental testing and comparative analysis of experimental measurements and theoretical results

To provide students with the opportunity to:

• Design, execute, report and demonstrate a substantial individual project in a professional manner;
• Further develop their communication, planning, time management, research and development skills and initiative.

To develop understanding of managing key processes and projects in engineering with a specific focus on principles/ techniques for managing the quality of Engineering systems.

The Intellectual Property module aims to provide students with knowledge about the theoretical rationales and policy arguments for the recognition and protection of intellectual property rights such as copyright, trademarks, designs, patents and trade secrets.

The module seeks to explain the nature and scope of these rights, the procedures for the granting or recognition of the rights, and mechanisms for enforcement as well as defences against enforcement.

Additionally, the module aims to explore intellectual property law within a wider social, economic, cultural and political context. This includes consideration of the impact of technological changes in the protection of intellectual property. The principal aim is to provide students with a working knowledge of the major areas of intellectual property law.

This module aims to develop students’ understanding of the engineering, scientific, and economic trade-offs involved in the design and implementation of embedded systems. It also provides familiarity with, and practical experience of, a range of architectural techniques and design methodologies, including their application and suitability for embedded platforms such as field-programmable gate arrays (FPGAs).

To develop knowledge and understanding of Internet of Things (IoT) technologies and methods with which IoT-enabled devices communicate and exchange, compute and visualise data gathered using the range of sensors and actuators available to them. A practical component will involve designing and developing a software application for mobile devices, such as smartphones, and wearable devices, such as wristbands, using a popular mobile platform that helps with collection, analysis and visualisation of such sensor data. 

To develop students’ understanding of machine vision and perception methods used in robotic and autonomous systems, including image acquisition, visual feature extraction, camera geometry, object detection, localisation, sensor fusion, and perception-driven decision making. The module aims to enable students to design, implement, evaluate, and critically discuss vision-based perception pipelines for real-world robotic applications, considering technical limitations, uncertainty, safety, ethics, and deployment constraints.

The aim of this module is to introduce knowledge and methods for designing and implementing mechatronic systems for control and robot systems, and to provide a mathematical foundation for control systems analysis, design and performance improvement. Students will develop an understanding of modelling dynamic systems using transfer functions and block diagrams.

To give experience of design practice and engineering systems design through undertaking a large multidisciplinary project. The module aims to develop the necessary skills in design project management and planning. It also aims to enable students to apply these skills in diverse situations. 

To enable Engineering students to deal with legal, social, ethical and environmental issues and apply professional codes of conduct.

This module explores the global legal frameworks that govern environmental protection and energy transition. You will examine international environmental governance, climate change law, and the growing recognition of human rights in environmental protection including rights of nature.

This module is designed to explore the legal and ethical concerns raised by AI and innovations centred on it. It covers topics including the ethical compatibility of AI-driven decisions, AI and Credit Scoring, AI and Public Law including Administrative and Judicial Decisions.

The aim of the module is to provide students a solid understanding of the most significant legal, policy and ethical debates in these area by examining advanced literature, statutes, judicial and administrative decisions and soft laws (guidelines and recommendations). 

The module examines and critically analyses corporate responsibility, and the requirements of Sustainability and ESG in modern business and the international dimensions of these concepts.

The module will address issues born from the interaction of intellectual property and the new technologies: Information Technologies (IT), the digital environment and the Internet, biotechnology. It will cover copyright protection for works belonging to Information Technology, Digital Copyright, Patent protection, Artificial Intelligence, Data Protection and Blockchain.

This module is designed to equip students with an in-depth understanding of the complex regulatory and governance frameworks for AI, primarily focusing on legal compliance with sectoral, and cross-sectoral AI legislations, with special emphasis on impact assessments.

This module builds on a general understanding of the foundations of UK corporate law and examines particular topics, in particular corporate governance, protection of minority shareholders and directors’ duties.

Recently, banks and other financial institutions have made considerable investments in financial technologies. This is inevitably changing the industry from a business and regulatory perspective. This module will provide you with an in-depth knowledge of the interplay between the banking industry and the technological world.

The aim of the module is to introduce the key concepts of Industry 4.0 and the advances enabled by the Industrial Internet of Things. The students will gain a comprehensive understanding of cyber security management relating to process industry, information integrity and validity, possible threats, attacks and appropriate response.

This module explores key low carbon technologies and their roles in the transition towards a low-emission future. Moving beyond conventional energy systems, students will develop an understanding of emerging technologies and their underlying principles, while gaining the knowledge and skills to design, analyse, and evaluate integrated low carbon energy systems using a systems approach. The module highlights the critical role of innovative system design in mitigating climate change impacts and supporting the development of sustainable energy solution

This module will develop deeper understanding of the roles of various engineering professionals involved in engineering and construction project delivery, deeper understanding of management science as applied to engineering and infrastructure projects, and wider appreciation of the role of the engineer in society and in sustainable project development.

This module will enable students to learn the fundamental principles in artificial intelligence including data analytics, machine learning and deep learning; to enable the students to further develop their ability to artificial intelligence techniques to solve problems relevant to civil engineering, especially within the contexts of SDGs such as SDG11 (Sustainable cities and communities), SDG6 (Clean water and sanitation), SDG9 (Industry, Innovation and Infrastructure); to enable students to develop programming skills.

• To understand the full range of state-of-the-art artificial intelligence systems techniques.
• To raise critical awareness of the issues affecting the performance of artificial intelligence systems.
• To develop the skills required to develop artificial intelligence applications.
• To gain hands-on experiences through learning, applying and implementing artificial intelligence systems to a given simulated system.

• To learn the state of the art in advanced additive manufacturing, and its impact on manufacturing, industries, and the global market.
• To have knowledge of a range of additive manufacturing processes, capabilities and materials.
• To enable students with more advanced features of CAD.