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Computational Mathematical Finance MSc

University of Edinburgh

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Course options

  • Qualification

    MSc - Master of Science

  • Location

    The University of Edinburgh

  • Study mode

    Full time

  • Start date

    15-SEP-25

  • Duration

    1 year

Course summary

Programme description

The MSc in Computational Mathematical Finance (CMF) is a dynamic new programme with the aim to deliver high quality training in the theory of Mathematical Finance with strong emphasis on computational methods.

Currently graduates in this field are expected to have a working knowledge of advanced computational finance (including construction of algorithms and programming skills) as well as a sound knowledge of the theory of Probability and Stochastic Analysis. These are the core theories needed in the modern valuation of complex financial instruments.

This MSc programme delivers: a flexible programme of study relevant to the needs of employers such as: top investment banks, hedge funds and asset management firms; a solid knowledge in financial derivative pricing, risk management and portfolio management; the transferable computational skills required by the modern quantitative finance world.

Career opportunities

Graduates can expect to go on to work in major financial institutions or to continue their studies by joining PhD programmes.

Tuition fees

Students living in United States
(International fees)

£ 38,100per 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 of Edinburgh

  • University League Table

    15th

  • Campus address

    University of Edinburgh, The University of Edinburgh, Old College, Edinburgh, Edinburgh, City Of, EH8 9YL, Scotland

Subject rankings

  • Subject ranking

    6th out of 103 1

    9th out of 65

  • Entry standards

    / Max 227
    204 90%

    3rd

  • Graduate prospects

    / Max 100
    84.0 84%

    15th

    1
  • Student satisfaction

    / Max 4
    2.91 73%

    95th

    6
  • Entry standards

    / Max 234
    218 93%

    3rd

  • Graduate prospects

    / Max 100
    91.0 91%

    4th

    5
  • Student satisfaction

    / Max 4
    2.96 74%

    53rd

    9

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