Royal Holloway, University of London
Computational Finance with a year in industry MSc
Royal Holloway, University of London

Key Course Facts

Course Description

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 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 implement methods of computational finance and machine learning using object-oriented programming languages and modern data management systems work with software packages such as MATLAB and R work with Relational Database Systems and SQL You will be taught by world-leading academics. Research in Machine Learning at Royal Holloway started in the 1990’s, at which time Vladimir Vapnik and Alexey Chervonenkis (the inventors of Support Vector Machines) were both professors here. 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.

By electing to spend a year in business you will also be able to integrate theory and practice and gain real business experience. In the past, our students have secured placements in blue-chip companies such as Centrica, Data Reply, Disney, IMS Health, Rolls Royce, Shell, Sociéte Générale, VMWare and UBS, among others.

Benefit from strong industry ties, with close proximity to ‘England’s Silicon Valley’. Graduate with a Master's degree with excellent graduate employability prospects. Tailor your learning with a wide range of engaging optional modules. Refine your skills and knowledge with a year in industry at one of the country's top institutions.

Entry Requirements / Admissions

Requirements for international students / English requirements

IELTS academic test score (similar tests may be accepted as well)

    • 6.5
    • Graduate Degrees
    • (minimum 7.0 in Writing)
    • 6.5
    • Undergraduate Degrees

Get advice on which foundation courses are best for you to still study Computational Finance with a year in industry, MSc, if you do not meet the minimum requirements in terms of UCAS score, A levels, or English language requirements.

Costs

Tuition Fees Computational Finance with a year in industry MSc

Ireland £12600 year 1
EU £22800 year 1
England UK £12600 year 1
Northern Ireland £12600 year 1
Scotland £12600 year 1
Wales £12600 year 1
Channel Islands £12600 year 1
International £22800 year 1

Average student cost of living in the UK

Rent £518
Water, gas electricity, internet (at home) £50
Supermarket shopping £81
Clothing £35
Eating out £33
Alcohol £27
Takeaways / food deliveries £30
Going out / entertainment (excl.alcohol, food) £24
Holidays and weekend trips £78
Transport within city £17
Self-care / sports £20
Stationary / books £13
Mobile phone / internet £13
Cable TV / streaming £7
Insurance £51
Other £95
  
Average student cost of living £1092

London costs approx 34% more than average, mainly due to rent being 67% higher than average of other cities. For students staying in student halls, costs of water, gas, electricity, wifi are generally included in the rental. Students in smaller cities where accommodation is in walking/biking distance transport costs tend to be significantly smaller.

University Rankings

Positions of Royal Holloway, University of London in top UK and global rankings.

See all 27 university rankings of Royal Holloway, University of London

About Royal Holloway, University of London

Royal Holloway, University of London, was founded in 1886, and is located in the suburban setting of Egham, South East England. The campus is home to an impressive Victorian era Picture Gallery, which serves as a museum for a collection of highly-valued art. The Royal Holloway Founder’s Building, the main feature of the campus, is where students will find their on-site accommodation, as well as the old style but extensively equipped library.

List of 336 Bachelor and Master Courses from Royal Holloway, University of London - Course Catalogue

Student composition of Royal Holloway, University of London

undergraduates:
9410
postgraduates:
2340
Total:
11750
  • Our local area
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  • Why study at Royal Holloway? Anni, Management with International Business
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  • Why study at Royal Holloway? Niall, Management

Where is this programme taught

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