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Home > Study in UK > University of Westminster - Marylebone Campus > Master of Science in Fintech with Business Analytics

Master of Science in Fintech with Business Analytics University of Westminster - Marylebone Campus University of Westminster - Marylebone Campus, UK

Intake Jan 2024

Jan 2023, Sep 2023

work permit PG Work Permit

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GBP 19000

Tuition Fee (GBP)

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Application Fee

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12 months


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Program Overview

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.

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Additional Information

Program Level Master's Degree

College/University Processing Time 30

Program Intensity Full-Time

Work Permit work permit PGWP

General Admission Requirement

    Academic Requirement

    • Minimum Level of Education Required: To be accepted for this program, students must have a Bachelor's degree.

    6.5 IELTS Score
    88 TOEFL Score Minimum Overall Score
    59 PTE Score Minimum Overall Score
    125 Duolingo Minimum Overall Score
    58% CGPA Minimum Overall Score

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    Tuition Fee

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    Average Tuition Fee Per Year


    Tuition Fee


    Application Fee

    12000 Per year

    Average Cost of Living

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