Upon successful completion of the programme, a graduate will be able to:
■ Explain the concepts behind the methods of calculus, analysis, linear algebra, differential equations, and numerical analysis
■ Illustrate a range of simple and more advanced methods for analysing statistical data, including time series and multivariate data
■ Assemble relevant information for mathematical arguments and proofs, and/or judgment in selecting and applying a wide range of mathematical tools and Techniques
■ Describe probability models and carry out statistical inference, including in particular methods for linear and generalised linear models, and Bayesian
Methods
■ Carry out mathematical and statistical manipulation and calculation, using a computer package
■ Construct appropriate mathematical and statistical arguments of their own and reason with abstract concepts
■ Create (from both theoretical and real-life problems) appropriate mathematical and statistical models to solve and draw justifiable inferences