Advanced Electronic and Electrical Engineering MSc

Brunel University of London

In this course, You will study in depth and breadth the key areas of electronic and electrical engineering. These include, sensors and instrumentation; control; photonics; power electronics; telecommunications; intelligent systems; medical systems; digital and analogue electronics; and embedded systems.Access is available to modern technical facilities including computer, electronics, and power and control laboratories where you’ll work on your lab exercises. The latest industry standard engineering software packages are available for you to use in purpose-built computer laboratories.During your studies, you will benefit from guest lectures delivered by industry professionals. You’ll participate in conferences and deliver poster presentations on your research work. This allows you to network and exchange ideas with key engineering and technology experts.Our MSc advanced electronic and electrical engineering degree is accredited by the Institution of Engineering and Technology (IET). This professional engineering institution ensures that your engineering degree meets the academic requirement to qualify as a professional engineer. This accredited MSc degree in advanced electronic and electrical engineering fully meets the educational requirement for progression to Chartered Engineer (CEng) status.An advanced electronic and electrical engineering degree from Brunel will equip you with the broad knowledge and skills relevant to the demanding and dynamic electronic and electrical engineering sector.Brunel’s closeness to the highest concentration of the UK’s information engineering and telecommunications industry – in London and along the M4 corridor – means our careers network is second to none.Our graduates have gone on to work for high-profile companies including IBM, Intel, Mercedes, Microsoft, National Grid and Siemens. They are in specialist roles in areas such as, telecommunications; mechatronics; sensors and instrumentation; embedded systems; signal processing; intelligent systems; and sustainable systems.