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Business at UEA
Find out more about studying Business at UEA, and browse our other courses.
Find out moreMSc Fintech, AI and Data Science
Key details
- Attendance
- Full Time
- Award
- Degree of Master of Science
- Course Length
- 1 year
- Course Start Date
- January 2028
Other Start Dates
Gain a competitive edge with a placement year
This course is also available with an integrated placement year, giving you the opportunity to gain valuable UK industry experience alongside your master's degree
Other Start Dates
Top 20
UEA is ranked top 20 in the UK for Research Quality
UEA is ranked top 20 in the UK for Research QualityCourse Overview
Why MSc FinTech, AI and Data Science at UEA?
Step into the future of financial innovation with a programme grounded in technology, data, and business intelligence. Study in a city that’s one of the UK’s fast-growing FinTech hubs, gaining exposure to a vibrant financial and technology community.
Why Choose UEA
- Hands-on technologies: Use Bloomberg Terminals, develop data driven decision‑making and gain globally recognised certifications
- Applied analytics: Develop technical, analytical, and ethical decision-making skills while exploring AI, data science and responsible innovation
- Flexible pathways: Choose optional modules, a dissertation, or industry projects aligned with your ambition
What is MSc FinTech, AI and Data Science?
The course develops strong foundations in data analysis and emerging technologies, shaping the new frontiers of financial decision-making. You’ll explore how data and intelligent systems enhance organisational insight, highlight opportunities, and reshape risk and financial management.
You'll gain experience using live market data in our Bloomberg-powered FinTech Lab to analyse real financial problems. Through specialist modules, you’ll deepen your understanding of ESG investment approaches and build the knowledge needed for Bloomberg Market Concepts certification.
The course builds technical proficiency, strategic thinking and awareness of ethical and security considerations within financial innovation. You'll graduate prepared for roles requiring strong analytical capability across fintech, financial services, consulting and technology-driven organisations.
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Accreditations
Our MSc FinTech, AI and Data Science bridges finance, technology and analytics prepare you for the future of financial innovation.
We’re proud to be an educational partner of the Chartered Institute for Securities & Investment(opens in a new window) (CISI), the Chartered Insurance Institute(opens in a new window) (CII), and the CQF Institute – awarding body for the Certificate in Quantitative Finance(opens in a new window) (CQF).
These partnerships provide you with access to professional learning resources, industry insights and pathways to globally respected finance qualifications – equipping them to lead in FinTech, quantitative finance and digital transformation across the financial sector.
Careers
Career Pathways
With a MSc in FinTech, AI and Data Science, you could launch a career as a:
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Risk and Analytics Consultant: Use data and analytics to help organisations manage risk and improve decision-making
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FinTech Analyst: Apply technology and financial expertise to develop innovative financial solutions
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Data Scientist: Analyse complex datasets to uncover insights and solve business challenges
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Digital Transformation Manager: Lead technology-driven change and innovation across organisations
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FinTech Entrepreneur: Launch and grow innovative businesses at the intersection of finance and technology
Career Support
You can apply each year for scholarships or discounted rates for CISI, CII, and CQF’s finance professional certifications. Through our FinTech Lab, you gain Bloomberg qualifications at no extra cost, including Bloomberg Market Concepts and ESG certificates. The course also provides ongoing guidance via personal advisor sessions, Employability and Professional Skills Weeks, Career Central(opens in a new window) events and networking with industry partners such as the Financial Industry Group and CISI.
After the Course
Graduates develop a strong blend of financial knowledge, technical skills, and data‑driven analytical capability. You’ll learn to apply AI, advanced analytics, and emerging technologies to complex financial and business challenges. These skills are valued across fintech firms, banks, consulting companies and analytics‑focused leadership roles. You’ll also gain practical experience with Bloomberg and understand the ethical and security considerations involved in business and finance. The programme supports career development through UEA’s Career Central(opens in a new window) services and offers a strong foundation for further academic or professional study in finance and data science.
Study and Modules
Structure
You’ll build a foundation in financial decision-making and explore the technologies transforming the financial sector. You’ll examine how blockchain and distributed systems are reshaping transactions and how organisations manage capital in a digital economy. Optional pathways allow you to explore concepts such as using programming to unlock insights from complex datasets, apply ethical principles to the design and deployment of AI systems and leverage digital technologies to enhance marketing strategies. These options help you build technical expertise and strategic thinking skills that are highly valued in technology-driven business environments.
Your focus will shift to advanced analytics and intelligent systems. You’ll explore how artificial intelligence and data science drive business insights and innovation. Optional pathways allow you to explore how organisations safeguard digital assets against cyber threats, use data-driven insights to optimise supply chains and harness technology to transform business operations. These options help you develop practical expertise and strategic thinking to meet the demands of a rapidly evolving digital economy.
You’ll consolidate your learning and apply it in a context that reflects your academic and professional goals. All students will engage with a module designed to provide insights into using intelligent systems for data interpretation and informed decision-making. You’ll also develop knowledge of sustainable investment principles and gain proficiency with Bloomberg’s industry-standard tools through dedicated training and certification. You can then choose to complete a dissertation, undertake an industry-focused project (subject to availability), or study two specialised taught modules. This flexible structure allows you to pursue academic research, gain practical experience, or deepen your expertise by exploring how organisations integrate sustainability into financial reporting and investment decisions, mastering the tools and techniques of project management to deliver complex initiatives and understanding how digital innovation reshapes business models and operational strategies.
Compulsory Modules
Optional A Modules
(Credits: 20)Optional B Modules
(Credits: 40)Optional A Modules
(Credits: 20)Important Information
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, and Assessment
Teaching and Learning
You’ll learn through lectures, seminars, workshops and hands‑on sessions focused on applying technology and data science to real business challenges. Teaching draws on industry practice and academic research, encouraging critical thinking about how emerging technologies reshape finance and business strategy. You’ll work with live financial data using Bloomberg Terminals in our FinTech Lab to develop practical analytical skills. Programming and data‑driven problem‑solving abilities are strengthened through exercises, case studies and project‑based learning within your chosen modules. You’ll collaborate in teams and work independently, building communication, leadership and problem‑solving skills for technology‑driven financial environments. Class sizes typically range from 20 to 40 students, with smaller specialised modules providing tailored support and interaction. You can also join the UEA Finance and Investment Society, gaining practical experience through peer learning, networking and student‑led fund management.
Assessment
Assessment on the MSc FinTech, AI and Data Science programme is designed to reflect the demands of professional practice and academic depth. It helps you demonstrate your ability to integrate financial knowledge with data‑driven insights and emerging technologies. Most modules include formative assessment that allows you to test your understanding and improve before final assessments. Final assessment methods build programming, data analysis, critical thinking and professional communication skills essential for technology‑driven finance. While the exact balance of assessment types may vary across modules, you can expect a mix of coursework and examinations, often supported by practical elements using Bloomberg and selected programming tools. There are no formal placements, but students undertaking an industry-focused project may gain valuable experience and insight into professional practice.
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 September 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 September 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 5.5 in each component).
We also accept a number of other English language tests. Review our English Language Equivalencies(opens in a new window) 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, our UEA International Study Centre(opens in a new window) offers 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 (opens in a new window)
- 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 2027/28 are:
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UK Students: £15,250
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International Students: £27,000
We estimate living expenses at £1,171 per month.
If you choose to take this course with a placement year, your tuition fees for the first year will be as shown above. An additional fee of £3,500 will apply for the placement year (see our FAQs page for further details).
Further Information on tuition fees can be found here(opens in a new window).
Course Related Costs
Please see additional course fees(opens in a new window) 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(opens in a new window).
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(opens in a new window)
International candidates are also encouraged to access the International Students(opens in a new window) section of our website.