Overview
Key features
We have developed both fundamental theory and practical algorithms that have fed into the analytics methods and techniques that are in use today. Current researchers include Alexander Gammerman and Vladimir Vovk – the inventors of conformal predictors theory, a radically new method of estimating the accuracy of each prediction as it is made – and Chris Watkins, originator of reinforcement learning who developed ‘Q-learning’, a work that is fundamental to planning and control.
Skills that you will acquire include the ability to:
- analyse, critically evaluate, and apply methods of computational finance to practical problems, including pricing of derivatives and risk assessment
- analyse and critically evaluate methods and general principles of computational finance and their applicability to specific problems
- work with methods and techniques such as clustering, regression, support vector machines, boosting, decision trees, and neural networks
- analyse and critically evaluate applicability of machine learning algorithms to problems in finance
Career opportunities
Demand for data scientists is buoyant, in the UK and worldwide, with salaries much higher than other IT professions and at least double the UK average full time wage. Our graduates from the Computational Finance with a Year in Industry course at Royal Holloway University of London have an excellent track record of finding jobs at the end of (if not during) their studies.
We bring several companies to our campus throughout the year, both for fairs and for delivering advanced topics seminars, which are an excellent opportunity to learn about what they do and discuss possible placements or jobs.
Programme Structure
Courses include:
- Data Analysis
- Programming for Data Analysis
- Database Systems
- Investment and Portfolio Management
- Ethics in Advanced Computing and Artificial Intelligence
- Year in Industry
- Individual Project
Key information
Duration
- Full-time
- 24 months
Start dates & application deadlines
- StartingApplication deadline not specified.
Language
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Credits
Delivered
Campus Location
- London, United Kingdom
Disciplines
Finance Computer Sciences View 680 other Masters in Finance in United KingdomWhat students do after studying
Academic requirements
English requirements
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- 2:1 in Computer Science, Economics, Mathematics, Physics, or another subject that includes a strong element of both mathematics and computing.
- Normally we require a UK 2:1 (Honours) or equivalent in relevant subjects but we will consider high 2:2 or relevant work experience. Candidates with professional qualifications in an associated area may be considered. Where a ‘good 2:2’ is considered, we would normally define this as reflecting a profile of 57% or above.
- All teaching at Royal Holloway is in English. You will therefore need to have good enough written and spoken English to cope with your studies right from the start.
Tuition Fees
-
International Applies to you
Applies to youNon-residents26100 GBP / year≈ 26100 GBP / year -
Domestic Applies to you
Applies to youCitizens or residents14400 GBP / year≈ 14400 GBP / year
Living costs
London
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Computational Finance with a Year in Industry.
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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