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Viewing as a student from United States living in United States interested in Undergraduate courses

FinTech with Business Analytics MSc

University of Westminster, London

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Course options

  • Qualification

    MSc - Master of Science

  • Location

    Marylebone Campus

  • Study mode

    Full time

  • Start date

    27-SEP-21, 24-JAN-22

  • Duration

    1 year

Course summary

Course summary

The traditional world of banking and finance has been transformed with the emergence of new technology and the development of new, faster, cheaper and more efficient ways of conducting business. The financial services sector is evolving as FinTech and business data analytics are becoming mainstream global activities.

Technology–led changes in digital finance, along with a plethora of new market regulations and compliance, are seeing the evolution of a transformed landscape that is characterised as a smart financial ecosystem. The revolution in financial markets is rapidly increasing demand for postgraduates with this type of knowledge and learning. Financial services employers seek candidates who can help the business rapidly adapt their services and operations and develop new business models.

Our exciting MSc draws together knowledge of financial markets and institutions along with the education and skills to develop and implement technological solutions to problems in digital finance. Graduates will be equipped with contemporary digital financial and business analytics knowledge and skills to meet and adapt to the changing needs of businesses and digitally astute consumers.

This cross-disciplinary course, capitalising on our links with the School of Computer Science and Engineering, is designed to develop an in-depth understanding of the financial techniques and applications that are transforming the sector and giving rise to a new financial ecosystem. You will learn to apply the computational technologies, products and approaches used in business: blockchain technology, digital currencies, big data, predictive analytics, artificial intelligence, machine and deep learning.

While our academic programme is grounded in theory, it has a strong practical orientation. You’ll use coding and analytics skills to develop business and financial insights to solve real-world problems, and access live market data via the state-of-the-art Bloomberg platform in our purpose-built Financial Markets Suite (FMS).

Our course was designed with input from a range of industry professionals who have expertise in financial markets, institutions and financial regulation. To retain currency and relevance, we receive ongoing feedback from Westminster Business School’s Departmental Employability Board, whose members include representatives from Vanguard, JPMorgan and Global Structured Finance.

We are one of the leading providers of finance education in London, located close to the City of London, the world-famous financial district, where some of the largest global financial institutions and companies are based.

Tuition fees

Students living in United States
(international fees)

£ 15,000per 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 Westminster, London

  • University League Table


  • Campus address

    University of Westminster, London, 101 New Cavendish Street, LONDON, CITY OF WESTMINSTER, W1W 6XH, England

With students coming from 170 nations around the globe, Westminster is one of the most internationally diverse universities in the UK.
Courses at Westminster aim to prepare students for industry and ensure that work experience and placement opportunities are accessible to all.
Westminster offers a wide range of scholarships, including a fully-funded postgraduate award, supporting students from over 50 countries across the world.

Subject rankings

  • Subject ranking

    72nd out of 105 21

    89th out of 122 11

    93rd out of 113 5

  • Entry standards

    / Max 220
    123 55%


  • Graduate prospects

    / Max 100
    40.0 40%


  • Student satisfaction

    / Max 5
    4.09 82%


  • Entry standards

    / Max 209
    121 57%


  • Graduate prospects

    / Max 100
    50.0 50%


  • Student satisfaction

    / Max 5
    3.90 78%


  • Entry standards

    / Max 236
    116 52%


  • Graduate prospects

    / Max 100
    76.0 76%


  • Student satisfaction

    / Max 5
    3.85 77%



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