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  • Hong Kong
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  • Hong Kong
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  • Undergraduate courses
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Course options

  • Qualification

    MSc - Master of Science

  • Location

    UCL (University College London)

  • Study mode

    Full time

  • Start date

    01-SEP-25

  • Duration

    1 year

Course summary

The financial services sector has changed and is being disrupted by new emerging technologies and brand-new business models. This programme aims to make you an expert in both. Our Financial Technology MSc takes a computer-science-first approach, enabling you to stay ahead of the innovations that are changing the financial services industry. A range of established and emerging technologies are disrupting the financial sector. These are constantly evolving, requiring companies to embrace innovation to remain competitive. Through this programme, you will gain an in-depth understanding of these technologies, and how to apply them to financial services. A programme spanning finance, business and technology – taught by UCL Computer Science – this is where you will place yourself at the cutting edge of technology in the world of finance.You will learn about blockchain technologies to machine learning applications to finance, as well as innovation and strategy in finance, core finance, programming and business strategy skills. You will have the opportunity to explore quantitative finance, algorithmic trading, database technologies, policy and regulation in finance, product management and software engineering in finance, and advanced applications of machine learning.

Tuition fees

Students living in Hong Kong
(International fees)

£ 44,400per 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

    9th

  • Campus address

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

Subject rankings

  • Subject ranking

    7th out of 117 2

  • Entry standards

    / Max 227
    208 92%

    7th

  • Graduate prospects

    / Max 100
    93.0 93%

    16th

    9
  • Student satisfaction

    / Max 4
    2.88 72%

    97th

    51

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