Quantitative Finance

Optional courses

• Advanced portfolio analysis (Portfolio analysis and investment is a corequisite for this course)
• Applied computational finance
• Economic fundamentals and financial markets
• Portfolio analysis and investment (corequisite for Advanced portfolio analysis)

Pre-sessional training: Quantitative methods for finance

Students are strongly encouraged to attend a short, pre-sessional course that reviews basic calculus, linear algebra, probability and statistics, all of which will be used in the MSc programme.

Additional training

Students will receive specialised training using the Bloomberg Trading Platform, based in our new and dedicated Bloomberg Trading Room, and MATLAB, a powerful, technical software programme used widely on trading floors and by researchers in the fields of Economics and Finance. The immediate aim of this training is to provide you with further tools to assist with your coursework and MSc dissertation.  However, it will also increase your employability because graduate recruiters attach significant value to expertise in using these tools.  The training component of your programme is not assessed and is offered on a first come, first served basis.