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Course options

  • Qualification

    MSc - Master of Science

  • Location

    King's College London, University of London

  • Study mode

    Full time

  • Start date

    28-SEP-26

  • Duration

    1 Year

Course summary

Our Computational Finance MSc will equip you with the essential computational methods used in today’s financial institutions. The course provides a solid foundation in traditional quantitative methods and financial instruments, alongside advanced topics in scientific computing, numerical methods, high-performance computing, distributed ledgers, big-data analytics, and agent-based modelling. You’ll graduate with essential skills to pursue roles in trading, research, regulation and risk management. Designed for students or professionals with a computer science or quantitative background, you will gain practical, hands-on experience in analysing financial data, leveraging modern developments in AI and Big Data technology. You’ll also have the unique opportunity to learn the practical aspects of quantitative finance and FinTech directly from industry experts, with our campus based next to one of the world’s major financial centres.

Application deadline

25/08/2026

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Tuition fees

Students living in United States
(International fees)

£ 42,800per year

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

University information

King's College London, University of London

  • University League Table

    16th

  • Campus address

    King's College London, University of London, Strand Campus, London, Greater London, WC2R 2LS, United Kingdom

Subject rankings

  • Subject ranking

    4th out of 104 8

  • Entry standards

    / Max 209
    165 79%

    7th

  • Graduate prospects

    / Max 100
    70.0 70%

    35th

  • Student satisfaction

    / Max 4
    3.29 82%

    31st

    5

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