This one year MSc programme in Statistics and Computational Finance aims to train students to work as professional statisticians, not only at the interface between statistics and finance, but to provide skills applicable in sociology, health science, medical science, biology, and other scientific areas where data analysis is needed. The emphasis of the program is on data analysis. It will equip students with contemporary statistical ideas and methodologies as well as advanced knowledge, which will make students very competitive to industry, academic and governmental institutions.  There are excellent career prospects for employment in industry and the public sector for our graduates. An MSc degree in Statistics and Computational Finance provides attractive employment opportunities in financial industries, government, consultancy companies, research centres, and other industries where data analysis is needed. Students with an interest in academic work may also decide to continue on a PhD programme in Statistics or a related field, for which the MSc in Statistics and Computational Finance provides a sound foundation.  This programme is delivered by the Department of Mathematics. 

Candidates are expected to have a second class honours degree, or equivalent, with a significant mathematical component. Substantial prior knowledge of statistics is not essential. Applicants who have other qualifications or have studied overseas are welcome. For those students, self-study materials on the foundation of statistics will be distributed in week 1. For more details, see Entry Requirements.

Applications are invited for the next intake of students in October 2012. Please go to the Enquiries and Applications section for further information. 

For details of the modules offered, see Programme Structure.