University of York: Statistics and Computational Finance
|Institution||University of York|
This 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 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.
A range of scholarships and studentships are available at postgraduate level. Some scholarships are funded by the University (such as the York Master's Opportunity Scholarship) and some are funded by Research Councils, alumni, businesses and charities. Please check with the provider for details.
|Level||RQF Level 7|
Module includes: Advanced regression analysis; mathematical methods of finance; portfolio theory and risk management; financial time series; stochastic calculus and Black-Scholes theory; advanced multivariate analysis. Optional modules: Survival analysis (M Level); statistics for insurance; computational finance; statistical modelling and practical data analysis with R; C++ programming with applications in finance.
|EU||11720 GBP for Year 1|
|England||11720 GBP for Year 1|
|Northern Ireland||11720 GBP for Year 1|
|Scotland||11720 GBP for Year 1|
|Wales||11720 GBP for Year 1|
|Channel Islands||11720 GBP for Year 1|
|International||23450 GBP for Year 1|
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