2-Term Pathway - Pre-Masters Science, Technology, and Engineering and Mathematics - Progress to Master of Science - Statistics and Computational Finance

This course emphasises data analysis and will provide them with contemporary statistical ideas and methodologies that are attractive to prospective employers. The skills students gain are useful for a wide range of financial data analysis and in a range of other sectors where data analysis is required, for example sociology, health science, medical science or biology. This experience is also an ideal foundation for further academic study; many students choose to progress to PhD.

The Statistics and Probability Group has a thriving research culture. The group works with mainstream statistics to develop new methodology and apply it to real-world problems. The team produces world-class research, publishing in top journals. Graduate students have full access to this expertise, as well as being exposed to forefront research carried out across the globe through regular seminars and working groups.