Overview
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
Our graduates from the Computational Finance course at Royal Holloway University of London enter into successful careers in academia or in companies or organisations operating in highly competitive areas. In recent years, these have included Amazon, American Express, BGL Group, Bupa, Capita, Centrica, EY, Facebook, Google, Hortonworks, JP Morgan, Microsoft, ONS, PWC, QuintilesIMS, Rolls Royce, Shell, UBS, VMware, Xerox and the Z/Yen Group.
Programme Structure
Courses include:
- Data Analysis
- Programming for Data Analysis
- Database Systems
- Investment and Portfolio Management
- Individual Project
- Machine Learning
Key information
Duration
- Full-time
- 12 months
- Part-time
- 24 months
Start dates & application deadlines
- StartingApplication deadline not specified.
Language
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Credits
Delivered
Campus Location
- Egham, United Kingdom
Disciplines
Finance View 680 other Masters in Finance in United KingdomWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
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
- UK 2:1 Bachelor honours degree or equivalent in Computer Engineering, Computing, Computer Science Engineering, Software Engineering, or other subjects including Economics that include a strong element of Maths, Physics, and other Engineering (excluding Civil, Mechanical, Material and Biomedical Engineering).
- Candidates with professional qualifications or relevant professional experience in an associated area will also be considered.
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
Funding
In order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.
Scholarships Information
Below you will find Master's scholarship opportunities for Computational 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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