The aim of this programme is to provide a solid training in mainstream advanced statistical modelling and to expose students to modern developments in Statistics. It is flexible in allowing the student to take a broad range of options, including modules within financial mathematics, statistical bioinformatics, and probability. On completion of the course students should be able to undertake data analysis for a wide variety of statistical problems, have learned key programming skills, both in data analysis and mathematical typesetting, and have learned to express mathematical concepts and statistical analysis in both written and verbal form. They should be equipped as a statistician for a range of careers in industry, commerce and the public sector or to embark on a programme of research as a research student.
Entry requirements English language requirements: * For applicants whose first language is not English, the University’s minimum English language requirement is a TOEFL score (paper-based test) of at least 550 with 4.0 on the Test of Written English -TWE or 220 with 4.0 on essay writing (computer based test) * or a minimum IELTS score of 6.0 with not less than 5.5 in listening and reading, and not less than 5.0 in speaking and writing. Academic entry requirements: * BSc (or equivalent) in a subject containing a substantial mathematical or statistical component, usually at level 2.1 or above (or equivalent).
School of Mathematics
The School of Mathematics at the University of Leeds, which comprises the departments of Statistics, Pure Mathematics and Applied Mathematics, is one of the largest and most active in the country. The School has over eighty members of staff, including about twenty-five professors. The School of Mathematics has recently established a Centre of Statistical Bioinformatics and has appointed Professor Wally Gilks as Director. This Centre, in collaboration with existing research groups from around the University, provides a forum for problem-sharing, development of new methods, and promoting the role of statistics in the rapidly developing field of bioinformatics.