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Project (ES93P)

(60 Credits)

The MSc course credit comprises a substantial project appropriate to the course of study. This entails an in-depth experimental, theoretical or computational investigation of a topic chosen by the student in conjunction with an academic supervisor. Topics for projects will change annual and are linked directly to the research interests of supervisors. There is a project handbook that provides support to what is required of you to meet the learning outcomes and assessment criteria of the project for the award of the qualification.

The project selection happens in October/November and there are a number of research method exercises towards the project work that are timetabled within the period for taught module teaching. You will work full time on your individual project in the months of May to August. Submission of the dissertation and your oral presentation will usually take place within the first two working weeks of September.

Recent project titles include (there are many others):

For the MSc in Sustainable Energy Technologies

  • Efficiency analysis of a compressed air Uninterrupted Power Supply (UPS)
  • Heat transport in nanostructures - A computational approach
  • Real-time modelling of centrifugal fan with induction motor drive
  • Investigation of the feasibility of thermal solar systems based on infrared photovoltaic power convertors
  • Numerical and experimental investigations of cavitation

For the MSc in Advanced Mechanical Engineering

  • Nanobiomechanical testing for soft biological materials
  • 3D imaging of materials and structures
  • Environmental pollution monitoring
  • CFD modelling of gas dispersion from a subsea release of natural gas
  • Thermal management of electric car battery cooling system

For the MSc in Biomedical Engineering

  • Additive manufacture of bespoke casts
  • Electronic nose for breath analysis
  • Bone Investigation using Infrared Detection
  • Developing a systems model of iron storage in brain disease
  • Predictive Modeling for Cancer Diagnostics

For the MSc in Communications and Information Engineering

  • Ethernet Passive Optical Network Simulation
  • Time-varying Spectrum Modelling for Cognitive Radios
  • Movement Prediction using Mobile Phone Data
  • Wearable devices and biomedical signal processing for mental stress assessment
  • Development of additively manufactured hybrid circuits; 3-D electronics

For the MSc in Energy and Power Engineering

  • Silicon materials for solar cells
  • Study of a low cost AC voltage controller
  • Effect of Low carbon economy on future system security
  • Schottky Diode Characterisation and Modelling
  • Virtual test for chassis/powertrain system interaction


Coursework (100%)