MEng Electrical and Electronic Engineering
Entry requirements
A level: 120 points including grade C in A Level Mathematics and a Grade E in a second relevant subject. Relevant subjects include Applied Science, Applied Business, Biology, Business, Chemistry, Computing, Computer Science, Design Technology, Economics, Electronics, Engineering, Environmental Sciences, ICT, Physics, Statistics, Further Maths, Use of Maths, Pure Maths. BTEC RQF National Extended Diploma/QCF Extended Diploma: BTEC qualifications considered in combination with additional qualifications. If you hold a BTEC qualification it is vital that you provide our Admissions team with details of the exact modules you have studied as part of the BTEC. Without this information we may be unable to process your application quickly and you could experience significant delays in the progress of your application to study with us. Please explicitly state the full list of modules within your qualification at the time of application. International Baccalaureate: 30 points overall to include 5 in Higher Level Mathematics and 3 in a second relevant Higher Level subject. English and Maths accepted within as GCSE equivalent. Irish Leaving Certificate: 120 UCAS tariff points, including H3 in Maths and H5 in a second relevant Higher Level subject. GCSE equivalent English and Maths accepted within. SQA Advanced Higher: 120 points, including grade C in Advanced Higher Maths and grade E in a second relevant Advanced Higher subject. GCSE equivalent English and Maths accepted within. Pass Access to HE Diploma: (i.e. mathematics, science, combined) with at least 33 credits at merit and/or distinction and to include at least 12 credits in mathematics units with merit. Individual interview/diagnostic test please contact admissions@plymouth.ac.uk for further information.
About this course
MEng (Hons) in Electrical and Electronic Engineering. Core topics include Circuit Design, Computer Architecture, Embedded Systems, Signal Processing, Control Systems, and Artificial Intelligence & Machine Learning. The course is IET-accredited and includes an optional year-long industrial placement. A group project in the final year addresses a complex, real-world problem drawn from industry or research.
Modules
- Electrical Industrial Placement
- Stage 1 Electrical/Robotics Placement Preparation
- Analogue Electronics
- Digital Electronics
- Electrical Principles and Machines
- Embedded System Design and Build
- Engineering Mathematics
- Stage 2 Electrical/Robotics Placement Preparation
- Power Electronics and Generation
- Communication Systems
- Real Time Systems Project
- Engineering Mathematics and Control
- Engineering Quality Management
- Introduction to Robotics
- Information and Communication Signal Processing
- Design and Control of Renewable Energy Technology
- Individual Project
- Real-Time Embedded Programming for Autonomous and AI Systems
- High Speed Communications
- Introduction to Machine Learning
- Nanotechnology and Nanoelectronics
- Distributed and Interactive Communications Systems
- MEng Group Project
- Sustainable Electric Transport