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Full time & Part time See Course MPhil Full-time, from 1 to 3 years. Part-time, from 2 to 4 years

About the course

Electronic “engineers create that which has never been'' (A. Einstein), making possible the future of technology to start now. Join our research group focused on collaborative and cross-disciplinary research, ready to guide you and enhancing your expertise in sensing, signal processing and smart control.

Our research interests include areas as:

  • Signal processing techniques for multimodal data fusion
  • Neuromorphic hardware (FPGA)
  • Pervasive healthcare
  • Mathematical modelling for engineering or medical applications
  • Assisted living (for the visually impaired or the elderly)
  • Human body energy harvesting
  • Intelligent neuro-fuzzy logic/FPGA control of power converters
  • Novel artificial dielectrics for wireless communication applications in microwave regions.
  • Integrated renewable energy systems modelling and

Read more about this course

Entry Requirements

MPhil or PhD with progression from MPhil: You’ll need a Bachelor degree or equivalent with first or upper second class honours, in a related subject area.

Please note we consider candidates for PhD with progression from MPhil in the first instance. If you want to be considered for direct entry to the PhD route then this can be discussed at interview if you are shortlisted. Please note you’ll also need to provide academic justification for this request.

Please see course website for further details.

Course Content

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