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MSc Financial Innovations, Technologies and Artificial Intelligence

Lancaster University

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Course options

  • Qualification

    Professional Masters

  • Location

    Main Campus

  • Study mode

    Full time

  • Start date

    03-OCT-25

  • Duration

    1 Year

Course summary

Our MSc in Financial Innovations, Technologies and Artificial Intelligence (AI) combines classical quantitative finance techniques with cutting-edge developments in financial technology, including machine learning and AI. The curriculum bridges financial theory with practical applications in quantitative trading, risk management, and forecasting.

If you aspire to lead the future of finance, this programme is designed for you. The versatile curriculum will open doors to many professions. Graduates pursue prestigious roles such as quantitative traders, risk managers, data scientists, and financial researchers at leading investment banks, hedge funds, and fintech firms. The programme develops both technical expertise and innovative thinking, preparing you for high-impact careers at the intersection of finance and technology while fostering an inquisitive mindset that thrives on research and innovation.

Tuition fees

Students living in Hong Kong
(International fees)

拢 32,760per year

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

University information

Lancaster University

Lancaster University

  • University League Table

    10th

  • Campus address

    Lancaster University, Bailrigg, Lancaster, Lancashire, LA1 4YW, England

Lancaster's community consists of students from over 100 countries, giving students the chance to make lifelong connections that cross borders and cultures.
The university offers wellbeing, financial, careers and visa application support for international students.
Multiple international societies help bring people together to celebrate and share culture.

Subject rankings

  • Subject ranking

    24th out of 122 3

    23rd out of 117 1

  • Entry standards

    / Max 221
    147 66%

    34th

  • Graduate prospects

    / Max 100
    79.0 79%

    27th

    2
  • Student satisfaction

    / Max 4
    3.04 76%

    66th

    22
  • Entry standards

    / Max 227
    149 66%

    35th

  • Graduate prospects

    / Max 100
    93.0 93%

    16th

    9
  • Student satisfaction

    / Max 4
    2.92 73%

    87th

    41

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