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Research Applied Mathematics Numerical Analysis Plasma Physics Solar and Magnetospheric Theory Vortex Dynamics Pure Mathematics Algebra and Combinatorics Analysis Statistics Research Unit for Wildlife Population Assessment (RUWPA) Centre for Research into Ecological and Environmental Modelling (CREEM) Statistical Inference MSc in Applied Statistics and Datamining General Information Postgraduate Research Courses available Funding Case study

Programme Specification for Statistics M.Sc. Module Requirements: A total of 180 credits from MT modules at 3000 level and above, including at least 120 credits at 5000 level, of which 60 credits correspond to a dissertation (MT5099) comprising three months full-time study. Aim: To provide the necessary skills and training for further study or research in at least one specialist area of Statistics. Learning Outcomes: to have a secure foundation of the ideas and techniques that underpin Statistics and have the ability to apply them across a range of areas to be able to formulate problems mathematically with a critical awareness of the appropriateness of particular models to have an appreciation of recent developments in certain specialist areas of Mathematics to be able to understand and present work at the frontiers of research clearly and accurately to be familiar with basic research skills and apply them to problem solving and independent work to possess the basis for research work in some branch of Statistics. Transferable Skills: a capacity to analyse problems in an objective and logical manner, using appropriately selected techniques clarity and coherence of thought and reasoning the ability to communicate ideas and arguments in a well-structured and reasoned manner the ability to interpret and evaluate numerical or graphical information.