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 programme is on data analysis. It equips 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.
A second class honours degree, or equivalent, with a significant mathematical component. Substantial prior knowledge of statistics is desirable but 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.
Each applicant will be assessed individually to ensure that his/her academic and/or professional background is appropriate. Documented professional track record in statistics or quantitative finance will be considered alongside academic record.
Overseas students will also need to demonstrate a good command of English by meeting the criteria under Language Requirements.
For details of the modules offered, see Programme structure.
There are excellent career prospects for students with a background in statistics and data analysis. The programme is designed to equip students with contemporary statistical ideas and methodologies which makes our students very competitive when seeking employment in industry and governmental institutions, as well as in academic careers. The skills taught are applicable in sociology, health science, medical science, biology and other related disciplines where data analysis is needed.
Recent destinations of graduates from the MSc in Statistics and Computational Finance have included: