Postgraduate Courses in the
School of Computing Sciences
PhD and MPhil Degrees in Computing and/or Mathematical Sciences
(Including Medical Statistics)
Opportunities Available
Entry Qualifications
You will normally be expected to have obtained a good honours degree (1st or 2nd class) in a subject relevant to your proposed research area.
Training and Support
All full-time research students are required to attend a Research Methods Course during their first year. In addition you will be able to attend a selection of modules chosen from nine taught masters programmes. These will be selected in consultation with your supervisors dependent upon your existing knowledge and your individual research topic.
You will have regular meetings with your team of supervisors and be encouraged to prepare short working papers and technical reports on your work. You will of course be given useful feedback on both the technical content and presentation of such papers. More formal feedback on your progress will be provided via the School's Research Committee on a semester basis.
Research
Topics
Available
With over 120 highly motivated academic members of staff and 8 Professors, the School is able to support research activity in a wide range of areas in both computing, mathematical sciences and medical statistics.
The School has excellent links with both industry and public bodies so that many of the research topics are related to a particular applications problem. A number of research groups operate in the School and these provide a further focus for research activity
Current research areas include:-
Computing
Sciences
- 3D Imagery + Human Computer Interactions
- Synthetic Environments
- Intelligent and Mobile Robotics
- Mobile Communication Networks
- Formal Methods
- Neural Networks
- Computer Networks
- Object-Oriented Technology
- Software Maintenance Reverse Engineering
- Safety-Critical Systems
- Fuzzy Systems
Mathematical
Sciences
- Numerical Analysis
- Fractal Geometry
- Finite Element Analysis
- Mathematical Education
- Signal Processing
- Surface Modelling
- Computational Fluid Dynamics
- Accident Modelling
- Chaotic Systems Modelling
Medical
Statistics
- Design and Analysis of Clinical Trials
- Repeated Measurements
- Categorical Data
- Random Coefficient Models
- Regulatory Statistics
- Non-linear Mixed Models
- Medical Diagnostic Systems
- Intelligent Tutoring Systems
Information
Systems
- Executive Information Systems
- Decision Support Systems
- Remote Sensing
- OO Design for Parallel Systems
- Data Modelling
- Strategic Information Systems Planning
- Ethics of Information Systems
- Information Strategy in NHS
Computer and
Information
Sciences
(based at Milton Keynes)
- Intelligent Control
- Font Design for Digital Typography
- Animation of Human and Animal Figures
- Shape Modelling of Deformable Objects
- Models/Systems for Information Retrieval
- Human-computer Co-operation using Expert Systems
- Machine Learning and Automated Modelling
- AI in Modelling, Simulation, Control and Fault Diagnosis
Further Information
The School is pleased to receive applications for either full for part-time study. For those already in employment it may be possible to arrange a collaborative research programme with your employer.
For contact details, see foot of page.
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