About the Programme
Students in the MPhil and PhD degree programmes are required to successfully:
- Complete a minimum of six credits of coursework for MPhil and nine credits of coursework for PhD
- Present seminars (2 for MPhil/3 for PhD)
- Submit a thesis
Courses
Students in the MPhil and PhD degree programmes should discuss with their Supervisor suitable courses which would satisfy the credit requirements. Courses should be completed in the first year.
Compulsory Seminar Presentations
For each seminar, candidates are required to write and present a paper to be photocopied and distributed beforehand on a topic arising out of their research, as well as to field questions put to them afterwards.
Thesis
Candidates are required to present and defend a Thesis of acceptable scope and qualify for the degree. The Thesis must follow the guidelines set out in the University’s Thesis guide.
Award of the Degree
The successful completion of the required coursework, the compulsory Seminar presentations and the Thesis will lead to the award of the Degree.
Mathematics queries should be directed via email or telephone to the Mathematics Coordinator. Dr. Peter Chami.
What Will I Study?
• Mathematical Diffraction Theory, Pisot Substitutions & Cut and Project Schemes
• Visible Point Sets, Lattice Substitution Systems
• Iterated Function Systems & Hausdorff Measures
• Kolakoski-Sequences
• Diagnostic Statistics in Medicine, Multiple Factor Analysis
• Estimator Theory- Special focus in Cross Validation and Cp Estimates of Prediction Error
• Bayes Inference and MCMC, Applied Machine learning- focus on supervised and
unsupervised learning
• Statistical Learning Focus on Data Mining and Applied Prediction Models,
• Penalized regression Special focus on datasets with high attrition rates.
• Design and Analysis of Experiments, Dimension Reduction Special focus on High
Dimensional Data.
• Structural Equation Modelling, Martingales.
• Mathematical Statistics, Lasso Regression