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Info

Computational Finance with a Year in Industry MSc

Royal Holloway, University of London

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Course options

  • Qualification

    MSc - Master of Science

  • Location

    Royal Holloway, University of London

  • Study mode

    Full time

  • Start date

    08-SEP-25

  • 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 finance.Duration: 2 years full time

Tuition fees

Students living in United States
(International fees)

£ 23,900per year

Tuition fees shown are for indicative purposes and may vary. Please check with the institution for most up to date details.

University information

University image

Royal Holloway, University of London

  • University League Table

    35th

  • Campus address

    Royal Holloway, University of London, Royal Holloway, University of London Egham Hill, Egham, Surrey, TW20 0EX, United Kingdom

Royal Holloway offers dedicated wellbeing, academic and financial support to international students.
Almost a third of students are from outside the UK, meaning there’s a welcoming and strong international spirit on campus.
Royal Holloway partners with local and global industry, culture and governments, leading to first-class career opportunities for you.

Subject rankings

  • Subject ranking

    39th out of 102 4

    24th out of 117 1

    41st out of 65 9

  • Entry standards

    / Max 233
    125 54%

    41st

  • Graduate prospects

    / Max 100
    69.0 69%

    46th

    4
  • Student satisfaction

    / Max 4
    3.23 81%

    29th

    24
  • Entry standards

    / Max 223
    136 61%

    39th

  • Graduate prospects

    / Max 100
    92.0 92%

    18th

    2
  • Student satisfaction

    / Max 4
    3.11 78%

    36th

    39
  • Entry standards

    / Max 244
    144 59%

    35th

  • Graduate prospects

    / Max 100
    85.0 85%

    21st

    16
  • Student satisfaction

    / Max 4
    3.27 82%

    14th

    37

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