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  • Postgraduate courses
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Course options

  • Qualification

    MSc - Master of Science

  • Location

    UCL (University College London)

  • Study mode

    Full time

  • Start date

    14-SEP-26

  • Duration

    1 Year

Course summary

The financial services industry places great emphasis on raising the level of mathematics used in banks in applications to pricing, hedging and risk management. This MSc provides students with the skills necessary in mathematics, statistics and computation for a career in this fast-developing field. Students will develop a detailed understanding of the application of mathematics, statistics and computation to problems in finance, and will gain the necessary practical tools for the pricing, hedging and risk management of a diverse range of financial products in several asset classes. The programme is suitable for applicants with a first degree in mathematics sciences, engineering, finance or economics who wish to gain the skills necessary for a career or further research in this field. Evidence of ability in key areas of applied mathematics is required.

Tuition fees

Students living in United States
(International fees)

£ 43,500per year

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

University information

UCL (University College London)

  • University League Table

    13th

  • Campus address

    UCL (University College London), Gower Street, London, Camden, WC1E 6BT, United Kingdom

UCL has over 20,000 students from outside the UK. Many tutors are world-leading academics in their field.
UCL's students come from over 150 countries, providing a truly global perspective.
UCL International Student Support and Wellbeing team provides specialist information and advice to international students.

Subject rankings

  • Subject ranking

    10th out of 65 4

  • Entry standards

    / Max 244
    172 71%

    18th

  • Graduate prospects

    / Max 100
    87.0 87%

    12th

  • Student satisfaction

    / Max 4
    3.16 79%

    29th

    6

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