AVÊÓƵ

School of Engineering and Informatics (for staff and students)

Electrical and Electronic Engineering

(MEng) Electrical and Electronic Engineering

Entry for 2023

FHEQ level

This course is set at Level 7 (Masters) in the national Framework for Higher Education Qualifications.

Course Aims

The aim of this course is to produce engineering graduates who are equipped for success and leadership in graduate careers which require expertise in electrical or electronic engineering such as in: power generation and distribution, communications, space technologies, manufacturing, automotive, transport and aerospace sectors. It aims to engender the ability to practice and integrate knowledge and understanding of mathematics, applied science, computer-based methods and design from within the global: economic, social, ethical and environmental context. Much of this ability is acquired through individual and interdisciplinary group projects, which benefit from industrial involvement. Design is an integrating feature that spans specification, conceptual development, design embodiment, final design, manufacture, marketing and sales. A distinctive characteristic of the course is education in: corporate planning, financial control and investment appraisal, which aims to create leaders for industry with a solid foundation in the engineering discipline that are equipped with the ability to assemble and manage economically successful multidisciplinary teams

Course learning outcomes

M1. Apply a comprehensive knowledge of mathematics, statistics, natural science and engineering principles to the solution of complex problems. Much of the knowledge will be at the forefront of the particular subject of study and informed by a critical awareness of new developments and the wider context of engineering.

M2. Formulate and analyse complex problems to reach substantiated conclusions. This will involve evaluating available data using first principles of mathematics, statistics, natural science and engineering principles, and using engineering judgment to work with information that may be uncertain or incomplete, discussing the limitations of the techniques employed.

M3. Select and apply appropriate computational and analytical techniques to model complex problems, discussing the limitations of the techniques employed.

M4. Select and critically evaluate technical literature and other sources of information to solve complex problems.

M5. Design solutions for complex problems that evidence some originality and meet a combination of societal, user, business and customer needs as appropriate. This will involve consideration of applicable health and safety, diversity, inclusion, cultural, societal, environmental and commercial matters, codes of practice and industry standards.

M6. Apply an integrated or systems approach to the solution of complex problems.

M7. Evaluate the environmental and societal impact of solutions to complex problems (to include the entire life-cycle of a product or process) and minimise adverse impacts.

M8. Identify and analyse ethical concerns and make reasoned ethical choices informed by professional codes of conduct.

M9. Use a risk management process to identify, evaluate and mitigate risks (the effects of uncertainty) associated with a particular project or activity.

M10. Adopt a holistic and proportionate approach to the mitigation of security risks.

M11. Adopt an inclusive approach to engineering practice and recognise the responsibilities, benefits and importance of supporting equality, diversity and inclusion.

M12. Use practical laboratory and workshop skills to investigate complex problems.

M13. Select and apply appropriate materials, equipment, engineering technologies and processes, recognising their limitations.

M14. Discuss the role of quality management systems and continuous improvement in the context of complex problems.

M15. Apply knowledge of engineering management principles, commercial context, project and change management, and relevant legal matters including intellectual property rights.

M16. Function effectively as an individual, and as a member or leader of a team. Evaluate effectiveness of own and team performance.

M17. Communicate effectively on complex engineering matters with technical and non-technical audiences, evaluating the effectiveness of the methods used.

M18. Plan and record self-learning and development as the foundation for lifelong learning/CPD.

Full-time course composition

YearTermStatusModuleCreditsFHEQ level
1Autumn SemesterCoreElectrical Circuits & Devices (H6098)154
  CoreEngineering Maths 1A (H1033)154
  CoreMaterials and Manufacturing Processes (H7106)154
  CoreProgramming for Engineers (H1038)154
 Spring SemesterCoreElectromagnetism and Introduction to Electrical Machines (H7130)154
  CoreElectronic Devices and Circuit Prototyping (H6099)154
  CoreEngineering Maths 1B (H1034)154
  CoreEngineering Thermodynamics (H3052)154
YearTermStatusModuleCreditsFHEQ level
2Autumn SemesterCoreDigital Systems and Microprocessor Design (H7068)155
  CoreElectrical Machines & Power Electronics (H7090)155
  CoreElectronic Circuit & Systems Design (H7076)155
  CoreEngineering Mathematics 2 (H1042)155
 Spring SemesterCoreAnalogue Communication and Propagation (H6107)155
  CoreEmbedded Systems (H7061)155
  CoreProfessional and Managerial Skills (H1041)155
  CoreSystems Analysis and Control (H6104)155
YearTermStatusModuleCreditsFHEQ level
3Autumn SemesterCoreBusiness and Project Management (H7095)156
  CoreControl Engineering (H6105)156
  CoreElectrical Power Systems (H6103)156
 Autumn & Spring TeachingCoreIndividual Project (H1043)306
 Spring SemesterCoreSmart Interactive Sensing Systems and Applications (H7128)156
  OptionDigital Communications (H6106)156
  Electrical Drive Systems (H6097)156
  Programming in C++ (H7126)156
YearTermStatusModuleCreditsFHEQ level
4Autumn SemesterCoreAdvanced Electronic Systems (524H1)157
  CoreMarketing Analysis and Financial Strategic Planning (863H1)157
  OptionAdvanced Digital Signal Processing (102H6)157
  Cybernetics and Neural Networks (100H6)157
  Internet-of-Things and Embedded System Practice (883H1)157
  Mobile Communications (826H1)157
 Autumn & Spring TeachingCoreMEng Group Project (860H1)457
 Spring SemesterCoreAdvanced Topics in Control of Electromechanical Systems (866H1)157
  OptionImage Processing (521H3)157
  Reconfigurable System on Chip (822H1)157
  Wearable Technologies (867H1)157

Please note that the University will use all reasonable endeavours to deliver courses and modules in accordance with the descriptions set out here. However, the University keeps its courses and modules under review with the aim of enhancing quality. Some changes may therefore be made to the form or content of courses or modules shown as part of the normal process of curriculum management.

The University reserves the right to make changes to the contents or methods of delivery of, or to discontinue, merge or combine modules, if such action is reasonably considered necessary by the University. If there are not sufficient student numbers to make a module viable, the University reserves the right to cancel such a module. If the University withdraws or discontinues a module, it will use its reasonable endeavours to provide a suitable alternative module.

School of Engineering and Informatics (for staff and students)

School Office:
School of Engineering and Informatics, AVÊÓƵ, Chichester 1 Room 002, Falmer, Brighton, BN1 9QJ
ei@sussex.ac.uk
T 01273 (67) 8195

School Office opening hours: School Office open Monday – Friday 09:00-15:00, phone lines open Monday-Friday 09:00-17:00
School Office location [PDF 1.74MB]