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- Royal Holloway, University of London
- Computational Finance with a Year in Industry MSc
Computational Finance with a Year in Industry MSc
Course options
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Qualification
MSc - Master of Science
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Location
Royal Holloway, University of London
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Study mode
Full time
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Start date
14-SEP-26
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Duration
2 Years
Course summary
This course, offered by the Department of Computer Science and the Department of Economics, allows you to specialise in modern quantitative finance and computational methods for financial modelling, which are demanded for jobs in asset structuring, product pricing as well as risk management.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 assessmentanalyse and critically evaluate methods and general principles of computational finance and their applicability to specific problemswork with methods and techniques such as clustering, regression, support vector machines, boosting, decision trees, and neural networksanalyse and critically evaluate applicability of machine learning algorithms to problems in financeimplement methods of computational finance and machine learning using object-oriented programming languages and modern data management systemswork with software packages such as MATLAB and Rwork with Relational Database Systems and SQLDuration: 1 year full time or 2 years part time
Modules
Tuition fees
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£ 29,300per 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
42nd
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Campus address
Royal Holloway, University of London, Royal Holloway, University of London Egham Hill, Egham, Surrey, TW20 0EX, United Kingdom
Subject rankings
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Subject ranking
39th out of 104
26th out of 46 1
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Entry standards
/ Max 209108 52%54th
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Graduate prospects
/ Max 10065.0 65%50th
4 -
Student satisfaction
/ Max 43.20 80%52nd
23 -
Entry standards
/ Max 229123 54%36th
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Graduate prospects
/ Max 10078.0 78%35th
6 -
Student satisfaction
/ Max 43.36 84%12th
4