MSc in Mathematical and Computational Finance - Information for Current Students
The programme aims:
+ to provide graduates with a strong mathematical background with the necessary to apply their expertise to the solution of real finance problems.
+ to provide students with a systematic understanding of core areas in mathematical models, techniques, numerical methods and data analysis in finance as well as source advanced topics in one or more of these areas.
+to develop the students skills to formulate problems from a description in financial language; carry out relevant mathematical and/or statistical analysis; develop an appropriate numerical scheme and/or statistics algorithm and present and interpret these results.
+to lay the foundation for further research or for a career as a quantitative analyst into a financial or other institution
+ to provide graduates with a strong mathematical background with the necessary to apply their expertise to the solution of real finance problems.
+ to provide students with a systematic understanding of core areas in mathematical models, techniques, numerical methods and data analysis in finance as well as source advanced topics in one or more of these areas.
+to develop the students skills to formulate problems from a description in financial language; carry out relevant mathematical and/or statistical analysis; develop an appropriate numerical scheme and/or statistics algorithm and present and interpret these results.
+to lay the foundation for further research or for a career as a quantitative analyst into a financial or other institution
Alumni Profiles
Our graduates have been recruited by prominent companies such as Barclays Capital, BNP Paribas, Citigroup, Credit Suisse, Deutsche Bank, Goldman Sachs, JP Morgan, KCG, Man-Group, Morgan Stanley, Nomura, Royal Bank of Scotland, Société Géneral, Squarepoint Capital, Systematica, UBS.
Many of our past students have progressed to PhD-level studies at leading universities worldwide.
Many of our past students have progressed to PhD-level studies at leading universities worldwide.
Course Components
The MSc starts two weeks before Michaelmas term with four introductory courses.
The first term (Michaelmas) and the second term (Hilary) are devoted to Core courses and Electives. Hilary term ends with a 2-week C++ project.
Trinity term is devoted to the MSc Dissertation. Students are encouraged to prepare their dissertation in conjunction with an industry internship.
The first term (Michaelmas) and the second term (Hilary) are devoted to Core courses and Electives. Hilary term ends with a 2-week C++ project.
Trinity term is devoted to the MSc Dissertation. Students are encouraged to prepare their dissertation in conjunction with an industry internship.
Information for Applicants
The MSc course provides access to state of the art developments in stochastic analysis, stochastic control, numerical methods, mathematical modelling, partial differential equations, statistics, machine learning and their financial applications.
Frequently Asked Questions
Why should you consider this consider this course? How to apply? What background should applicants have? What preparations are required? What are the fees and other costs?