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Fintech, AI and Data Science at University of East Anglia UEA - UCAS

Course options

Course summary

Overview Step into the future of financial innovation with this dynamic course integrating technology, data, and business intelligence. On this exciting MSc FinTech, AI and Data Science course, you’ll gain essential programming skills alongside industry-relevant knowledge of blockchain technology, artificial intelligence, corporate finance, and data science. You’ll also learn how AI is transforming financial decision-making, how data uncovers new opportunities, and how emerging technologies are reshaping risk and investment management. In our state-of-the-art FinTech laboratory, you’ll solve real-world challenges using big data and live market insights via the Bloomberg platform. Advances in technology and artificial intelligence are radically reshaping the financial sector, with a growing demand for professionals capable of navigating both financial markets and technological landscapes. This course will help you develop technical proficiency, strategic insight, and a deep understanding of the ethical and security challenges facing financial innovations. Whether your career aspirations lie in financial technology startups, global banks, technology consulting, or analytics-driven leadership, upon graduation you'll be prepared to lead at the forefront of finance and intelligent systems. Our campus sits at the core of one of the most vibrant and fast-growing FinTech hubs in the UK. You'll have access to an extensive network of industry partners including the Norwich Financial Industry Group and the CISI East Anglian Branch. In addition to your Master’s qualification, you'll gain valuable professional qualifications from Bloomberg at no extra cost, including the Bloomberg Market Concept and ESG certificates. You'll also be able to apply for scholarships to the GARP, CISI, and CFA professional exams every year. Disclaimer Course details are subject to change. You should always confirm the details on the provider's website: www.uea.ac.uk

Modules

Please see our website www.uea.ac.uk for further information

Assessment method

Please see our website www.uea.ac.uk for further information


Entry requirements

Bachelors degree - 2.2 or equivalent in any subject


English language requirements

TestGradeAdditional details
IELTS (Academic)6Minimum 6.0 in Writing and Speaking and 5.5 in Listening and Reading

English Foreign Language: Applications from students whose first language is not English are welcome. We require evidence of proficiency in English (including writing, speaking, listening and reading): Test dates should be within 2 years of the course start date. We also accept a number of other English language tests. Review our English Language Equivalencies for a list of qualifications that we may accept to meet this requirement.

UEA Admissions Policy for English Language Qualifications

https://www.uea.ac.uk/apply/our-admissions-policy/english-language-equivalencies


Fees and funding

Tuition fees

No fee information has been provided for this course

Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .

Additional fee information

No additional fees or cost information has been supplied for this course, please contact the provider directly.
Fintech, AI and Data Science at University of East Anglia UEA - UCAS