MSc Fintech, AI and Data Science
Key Details
- Attendance
- Full Time
- Award
- Degree of Master of Science
- Course Length
- 1 year
- Course Start Date
- January 2026
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UEA is ranked top 20 in the UK for Research QualityCourse 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.
Study and Modules
Structure
Our course offers a unique coverage of finance and technology skills that aligns with industry trends and meets the demands of the modern job market.
In the first semester, you'll gain a firm foundation in corporate financial strategies and financial technologies. You'll also have the option to develop essential programming skills or a more in-depth understanding of AI in accounting, value chain or marketing.
In your second semester you'll delve deeper into the subject with specialist modules in data science and artificial intelligence for business and finance decisions.
At this point you can choose to do a dissertation which allows you to demonstrate academic ability by conducting research that contributes to the fast-changing field of FinTech. You'll learn the methods to conduct robust research and further develop your analytical skills and critical thinking ready for further study or the workplace.
You also have the option of doing an industry sponsored project that offers applied FinTech, business analytics and AI experience. You'll work directly with clients, understand their needs, and build business analytics, FinTech and AI solutions. You'll acquire highly valuable work experience, build a professional network and develop the skills necessary to excel in the workplace.
As an alternative to a dissertation or an industry sponsored project, you’ll have the choice to deepen FinTech and AI operational and governance skills, highly sought after when working in a corporate finance or governance team, by choosing optional modules from a selected list.
Unlike other Master’s courses where your third semester is only spent on independent study, on this course you'll consolidate your learning by further advancing strategic leadership of FinTech and business analytics and AI-based projects.
During the whole year, you'll apply concepts in our state-of-the-art FinTech laboratory using the industry-leading Bloomberg platform.
Compulsory Modules
Optional A Modules
(Credits: 20)Optional B Modules
(Credits: 40)Optional C Modules
(Credits: 20)Whilst the University will make every effort to offer the modules listed, changes may sometimes be made arising from the annual monitoring, review and update of modules. Where this activity leads to significant (but not minor) changes to programmes and their constituent modules, the University will endeavour to consult with students and others. It is also possible that the University may not be able to offer a module for reasons outside of its control, such as the illness of a member of staff. In some cases optional modules can have limited places available and so you may be asked to make additional module choices in the event you do not gain a place on your first choice. Where this is the case, the University will inform students.
Teaching and Learning
You'll learn through a mix of lectures, seminars, workshops, guest lectures and independent study, focusing on interactive learning and applying theoretical concepts on real-world and industry-relevant applications in FinTech and AI labs.
You'll benefit from research-led and industry-focused teaching, learning from highly qualified academics and researchers, as well as practitioners with experience working in industry at the highest level.
The use of big data and live financial market data via industry-leading platforms and databases such as Bloomberg and LSEG Workspace will be vital in allowing you to learn by doing.
You'll work both independently and in teams, building teamwork, leadership, management, and critical thinking skills. In all your modules, you'll look at issues from a domestic and international perspective. This ensures you’re ready to excel on the international stage, with skills that are relevant anywhere.
Assessment
You'll experience a variety of assessment methods which include coursework assignments, demonstrations, presentation, and in-class tests.
In most assignments, you'll attempt to solve an authentic finance and business problem for a client. Each assignment will be supported by formative assessment – assessment for learning – that will give you a chance to test your skills and knowledge and receive feedback prior to summative assessment – assessment of learning – so you have a chance to improve.
Employability
After the Course
Financial technology, analytics and AI skills are in high demand globally and you'll have diverse career opportunities in a fast-evolving sector, in the UK and beyond.
You'll graduate ready to launch a highly successful career in FinTech companies and startups, investment and commercial banks, insurance companies, brokers, venture capitalists, cybersecurity, and regulatory bodies. You might work as a financial manager, data analyst, FinTech innovator, unlocking opportunities to shape innovation in the finance service sector.
We provide ongoing career support through our annual Employability Week, Skills Week and leading industry partners.
Careers
Examples of careers that you could enter include:
- FinTech/Financial Manager
- FinTech/Financial Data Analyst
- FinTech-based Fund Manager
- FinTech Startup Innovator
- FinTech/Financial Consultant
- Investment and risk manager
Discover more on our Careers webpages.
Entry Requirements
- This course is open to
UK and International fee-paying students. Choose UK or International above to see relevant information. The entry point is in January each year.
- Typical UK Entry Requirements
Degree classification
Bachelors degree - 2.2
Degree Subject
Any subject area.
Please note that if you have studied business before at undergraduate or postgraduate level, we recommend you check the modules carefully to make sure that this course is right for you.
- Admissions Policy
Our Admissions Policy applies to the admissions of all postgraduate applicants.
- This course is open to
UK and International fee-paying students. Choose UK or International above to see relevant information. The entry point is in January each year.
- Typical International Entry Requirements
Degree classification
UK Bachelors degree - 2.2
Degree Subject
Any subject area.
Please note that if you have studied business before at undergraduate or postgraduate level, we recommend you check the modules carefully to make sure that this course is right for you.
- 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):
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IELTS: 6.0 overall (minimum 6.0 in Writing and Speaking, and 5.5 in Reading and Listening)
We also accept a number of other English language tests. Review our English Language Equivalencies for a list of example qualifications that we may accept to meet this requirement.
Test dates should be within two years of the course start date.
If you do not meet the English language requirements for this course, INTO UEA offer a variety of English language programmes which are designed to help you develop the required English skills.
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- UEA International Study Centre
If you do not meet the academic requirements for this course, you may be able to study the International Pre-Masters programme offered by our partner INTO UEA. This programme guarantees progression to selected Master's degrees if students achieve the appropriate grade. For more details, please click here:
International Pre-Masters in Business, Economics and Social Sciences
- Admissions Policy
Our Admissions Policy applies to the admissions of all postgraduate applicants.
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Fees and Funding
Tuition fees for the Academic Year 2025/26 are:
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UK Students: £13,800
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International Students: £24,300
We estimate living expenses at £1,136 per month.
Further Information on tuition fees can be found here.
Scholarships and Bursaries
The University of East Anglia offers a range of Scholarships; please click the link for eligibility, details of how to apply and closing dates.
Course Related Costs
Please see Additional Course Fees for details of course-related costs.
How to Apply
How to apply
Applications for Postgraduate Taught programmes at the University of East Anglia should be made directly to the University.
To apply please use our online application form.
Further information
If you would like to discuss your individual circumstances prior to applying, please do contact us:
Postgraduate Admissions Office
Tel: +44 (0)1603 591515
Email: admissions@uea.ac.uk
International candidates are also encouraged to access the International Students section of our website.