Overview
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 Computational Mathematical Finance course from The University of Edinburgh 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 opportunities
Graduates can expect to go on to work in major financial institutions or to continue their studies by joining PhD programmes.
Get more details
Visit programme websiteProgramme Structure
Courses include:
- Discrete-Time Finance
- Numerical Probability and Monte Carlo
- Python Programming
- Research Skills for Financial Mathematics
- Risk-Neutral Asset Pricing
- Stochastic Analysis in Finance
Check out the full curriculum
Visit programme websiteKey information
Duration
- Full-time
- 12 months
- Part-time
- 24 months
Start dates & application deadlines
- Starting
- Apply before
-
- Round 1 deadline:15 December
- Round 2 deadline:31 March
- Round 3 deadline:31 May
Language
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Credits
Delivered
Campus Location
- Edinburgh, United Kingdom
Disciplines
Finance Financial Mathematics Computational Mathematics View 22 other Masters in Computational Mathematics in United KingdomExplore more key information
Visit programme websiteWhat students do after studying
Academic requirements
English requirements
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- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- A UK 2:1 degree, or its international equivalent, in mathematics or a mathematical subject such as statistics, physics or engineering.
- You must also have relevant programming experience (at least one semester undergraduate programming course, in any language e.g. C, C++, Java, Python, passed at 2:1 level).
Make sure you meet all requirements
Visit programme websiteTuition Fees
-
International Applies to you
Applies to youNon-residents42310 GBP / year≈ 42310 GBP / year -
Domestic Applies to you
Applies to youCitizens or residents16000 GBP / year≈ 16000 GBP / year
Additional Details
Part-time fees:
- Home: £8,000
- International: £21,155
Living costs
Edinburgh
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
Check for any work restrictions
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Scholarships Information
Below you will find Master's scholarship opportunities for Computational Mathematical Finance.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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