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Course Content

Course content

This programme, taught jointly by the School of Mathematics and the Department of Economics, provides the skills that will enable technically able graduates (including in mathematics, science and engineering) to apply their quantitative training to financial analysis.

Course details

This programme, taught jointly by the School of Mathematics and the Department of Economics, provides the skills that will enable technically able graduates (including in mathematics, science and engineering) to apply their quantitative training to financial analysis.

A collaboration with https://www.arpm.co/" target="_blank">Advanced Risk and Portfolio Management (ARPM) allows MSc students to attend ARPM’s prestigious summer https://www.arpm.co/bootcamp/" target="_blank">ARPM Bootcamp at a discount.  Attending this class also gives an access to https://www.arpm.co/lab/overview/" target="_blank">the ARPM Lab, an online platform that contains an extensivebody of knowledge for quantitative risk management and quantitative portfolio management. Successful completion of it exempts students from our Risk Analytics module. 

In most cases, we expect that graduates from the Masters will take positions in quantitative analysis (or similar) in major financial institutions, such as in the City. The programme also prepares you to pursue further studies in academia.

Employability

Graduates from this MSc programme will be well prepared to compete for quantitatively demanding positions in financial institutions. The degree should also prepare them for postgraduate research, either for purely academic ends or to further qualify them for work in financial institution.

Destinations of recent graduates include Bank of America/Merrill Lynch, BNP Paribas, China Jianyin Investment Securities, Deutsche Bank, the FSA, LGIM, Société Générale and wonga.com.


Visit the Mathematical Finance - MSc page on the University of Birmingham website for more details!

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