About the programme

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To conduct research and make original contributions to the advancement of knowledge in the following areas.

  • Machine Learning, in particular Deep Learning for data mining and knowledge discovery
  • Computer Vision technologies for object detection, recognition and tracking
  • Biometrics (Face, Voice, and Multimodality) for forensics and security, Automatic Number Plate Recognition (ANPR), Big Data Architectures for Biometrics and Security
  • De-identification for privacy protection
  • Generative Adversarial Synthesis for attribute controlled image adaption, automatic text/image caption generation
  • Speech Technology for speech recognition and spoken human-machine interaction
  • Language Technology, including natural language processing and text mining
  • Processing and Analysis of biomedical signals (brain, heart, muscles and body motions)
  • Digital Media Processing including Content Based Multi-Media Retrieval, Big Data Architectures for Efficient Information Processing, Data (Multi-media) Analytics
  • Computer Vision, Soft Computing (Fuzzy Logic, Neural Networks, Genetic Algorithms,), Deep Learning and Information Fusion for Decision Making
  • Intelligent Transportation Systems (ITS) including Advanced Driver Assisted Systems (ADAS, information fusion from real time sensor data, adaptive vehicle design

Virtual Reality, Robotics and Telemedicine.  The research focus is on developing innovative visual interfaces for tele-exploration and tele-operation capable of providing users with an increased sense of presence through greater involvement of human sensors and consistency of information presentation.

Main subjects of investigation include: 3D Vision and S3D Visualization, Virtual and Augmented Reality, Haptic Feedback and Visual-Touch Coordination, Graphically Integrated Visual Aids, Visual Realism and Usability Studies in VR, Human-Computer Interaction, Telerobotics and Mobile Robot Navigation, Immersive Tele-Health and 3D Endoscopy, Smart Systems and Telepresence, Computer Graphics and Serious Games.

Why choose this programme?

Our MSc by Research programmes enable students to develop specialist research skills and knowledge. We aim to provide research projects that will challenge and in some cases even inspire our students. If you are self-motivated and want to improve your ability to understand and solve engineering problems, then an MSc by Research PhD with us may be right for you.

Teaching methods

Each student will be assigned a Principal and a second supervisor who are experts in the research topic. The research will be conducted in our labs which are well-equipped for research in the topics of our expertise. The research is conducted over a 12-month period Full-Time or 24 months Part-time. Research students submit for their registration assessment which is conducted in the form of a formal viva 3 months and 6 months respectively after their enrolment. For the final assessment, students are expected to submit their thesis and to be examined also in the form of a viva by an external and an internal examiner.  

Entry requirements...

Applicants must have a good first degree (1st Class or 2.1) in Electrical and Electronic Engineering, Computer Science, Computer Engineering, or Maths. Fluent English.

Programme fees

Dates

2018

Start DateEnd DateLink
01/07/201931/07/2019Apply online (Full Time)
01/07/201931/07/2019Apply online (Part Time)

2019

Start DateEnd DateLink
01/08/201931/07/2020Apply online (Full Time)
01/09/201931/07/2020Apply online (Full Time)
01/10/201931/07/2020Apply online (Full Time)
01/11/201931/07/2020Apply online (Full Time)
01/12/201931/07/2020Apply online (Full Time)
01/01/202031/07/2020Apply online (Full Time)
01/02/202031/07/2020Apply online (Full Time)
01/03/202031/07/2020Apply online (Full Time)
01/04/202031/07/2020Apply online (Full Time)
01/05/202031/07/2020Apply online (Full Time)
01/06/202031/07/2020Apply online (Full Time)
01/07/202031/07/2020Apply online (Full Time)
01/08/201931/07/2020Apply online (Part Time)
01/09/201931/07/2020Apply online (Part Time)
01/10/201931/07/2020Apply online (Part Time)
01/11/201931/07/2020Apply online (Part Time)
01/12/201931/07/2020Apply online (Part Time)
01/01/202031/07/2020Apply online (Part Time)
01/02/202031/07/2020Apply online (Part Time)
01/03/202031/07/2020Apply online (Part Time)
01/04/202031/07/2020Apply online (Part Time)
01/05/202031/07/2020Apply online (Part Time)
01/06/202031/07/2020Apply online (Part Time)
01/07/202031/07/2020Apply online (Part Time)

2020

Start DateEnd DateLink
01/08/202031/07/2021Apply online (Full Time)
01/09/202031/07/2021Apply online (Full Time)
01/10/202031/07/2021Apply online (Full Time)
01/11/202031/07/2021Apply online (Full Time)
01/12/202031/07/2021Apply online (Full Time)
01/01/202131/07/2021Apply online (Full Time)
01/02/202131/07/2021Apply online (Full Time)
01/03/202131/07/2021Apply online (Full Time)
01/04/202131/07/2021Apply online (Full Time)
01/05/202131/07/2021Apply online (Full Time)
01/06/202131/07/2021Apply online (Full Time)
01/07/202131/07/2021Apply online (Full Time)
01/08/202031/07/2021Apply online (Part Time)
01/09/202031/07/2021Apply online (Part Time)
01/10/202031/07/2021Apply online (Part Time)
01/11/202031/07/2021Apply online (Part Time)
01/12/202031/07/2021Apply online (Part Time)
01/01/202131/07/2021Apply online (Part Time)
01/02/202131/07/2021Apply online (Part Time)
01/03/202131/07/2021Apply online (Part Time)
01/04/202131/07/2021Apply online (Part Time)
01/05/202131/07/2021Apply online (Part Time)
01/06/202131/07/2021Apply online (Part Time)
01/07/202131/07/2021Apply online (Part Time)