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Financial Market Analysis MSc

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  • Objectives
    The aim of the MSc is to prepare graduates for career paths which require technical skills in quantitative analysis, financial research, derivative pricing, financial programming and risk management. Graduates from this MSc will be highly employable as there is an increasing demand for mathematicians who are able to apply the sophisticated tools that finance requires and the degree will lead to jobs in many areas. Successful completion of this MSc will help graduates work in financial institutions such as banks and investment houses.
  • Entry requirements
    Entry requirements An honours degree (at least 2:2 or above) in mathematics or a numerical subject. Other disciplines may be considered. A minimum IELTS score of 6.0, TOEFL 550 (213 CBT) or equivalent is required for those for whom English is not their first language.
  • Academic Title
    Financial Market Analysis MSc
  • Course description
    There is an increasing demand for people with numerate skills in modelling and an understanding of financial markets to work in financial centres around the world. This MSc will teach you how to analyze problems from finance in a rigorous and constructive fashion. Students will be taught how to apply advanced computational, empirical and theoretical tools in finance. By the time students leave, they will have received all the training necessary to undertake research in finance on their own. You will therefore gain experience in using stock market data as well as using sophisticated computer packages for solving complex mathematical models relating to finance. There is an emphasis on the effective and professional communication of results which is key skill required by the finance sector. This MSc will teach you the necessary knowledge to allow you to pursue a career in the financial sector, supporting portfolio optimization and the pricing of financial derivatives.

    Teaching methods

    The School has a reputation for innovation in teaching and learning, where modules are delivered through a combination of traditional face-to-face teaching and supported using the University's StudyNet web based facility. StudyNet allows students to access electronic teaching and learning resources, and conduct electronic discussion's with staff and other students. A heavy emphasis is placed on theory and practice, and the School has a policy of using industrial standard software wherever possible. We also operate an open access laboratory, and computer policy, that will help students complete coursework and assignments, at a scheduled pace and on time.

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