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- Computational Mathematical Finance MSc
Course options
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Qualification
MSc - Master of Science
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Location
The University of Edinburgh
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Study mode
Full time
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Start date
15-SEP-25
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Duration
1 year
Course summary
Programme description
The MSc in Computational Mathematical Finance (CMF) is a dynamic new programme with the aim to deliver high quality training in the theory of Mathematical Finance with strong emphasis on computational methods.
Currently graduates in this field are expected to have a working knowledge of advanced computational finance (including construction of algorithms and programming skills) as well as a sound knowledge of the theory of Probability and Stochastic Analysis. These are the core theories needed in the modern valuation of complex financial instruments.
This MSc programme delivers: a flexible programme of study relevant to the needs of employers such as: top investment banks, hedge funds and asset management firms; a solid knowledge in financial derivative pricing, risk management and portfolio management; the transferable computational skills required by the modern quantitative finance world.
Career opportunitiesGraduates can expect to go on to work in major financial institutions or to continue their studies by joining PhD programmes.
Modules
Tuition fees
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£ 38,100per year
Tuition fees shown are for indicative purposes and may vary. Please check with the institution for most up to date details.
University information
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University League Table
15th
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Campus address
University of Edinburgh, The University of Edinburgh, Old College, Edinburgh, Edinburgh, City Of, EH8 9YL, Scotland
Subject rankings
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Subject ranking
6th out of 103 1
9th out of 65
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Entry standards
/ Max 227204 90%3rd
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Graduate prospects
/ Max 10084.0 84%15th
1 -
Student satisfaction
/ Max 42.91 73%95th
6 -
Entry standards
/ Max 234218 93%3rd
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Graduate prospects
/ Max 10091.0 91%4th
5 -
Student satisfaction
/ Max 42.96 74%53rd
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