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The MSc in Financial Technology will provide you with a comprehensive grounding in the various analytical methods of financial technology, or 'fintech', as well as knowledge of how these methods are utilised in practice in financial markets. The content will combine finance theory with extensive applications through to practical issues using real-world data. The programme includes units addressing the latest technological developments that have transformed many aspects of the finance industry such as big data, artificial intelligence, machine learning, process automation, cryptocurrencies and blockchain, alongside units that cover the underpinning theory and practice of finance.
Artificial intelligence and machine learning are reshaping the financial services sector and are being used across a range of applications including trading, portfolio construction and evaluation, risk management, financial intermediation and corporate finance. You will gain a broad, high-level overview of the impact that technology is having in reshaping many aspects of financial services. You will also develop specific practical skills in programming, statistical analysis and financial modelling, which will enable you to apply these technological innovations in a variety of contexts. This may include algorithmic trading, robo-advising, peer-to-peer lending, mobile payments, crowdfunding and digital currencies.
The teaching will be research-led and undertaken by subject experts, involving a mixture of lectures and weekly small-group tutorials as well as computer lab-based sessions for the completion of data-based case studies and applications. Industry-relevant skills are embedded in the units throughout the programme, which is practical in nature without compromising academic rigour.
Programme overview
Main Subject
Finance
Degree
MSc
Study Level
Masters
Study Mode
On Campus
The MSc in Financial Technology will provide you with a comprehensive grounding in the various analytical methods of financial technology, or 'fintech', as well as knowledge of how these methods are utilised in practice in financial markets. The content will combine finance theory with extensive applications through to practical issues using real-world data. The programme includes units addressing the latest technological developments that have transformed many aspects of the finance industry such as big data, artificial intelligence, machine learning, process automation, cryptocurrencies and blockchain, alongside units that cover the underpinning theory and practice of finance.
Artificial intelligence and machine learning are reshaping the financial services sector and are being used across a range of applications including trading, portfolio construction and evaluation, risk management, financial intermediation and corporate finance. You will gain a broad, high-level overview of the impact that technology is having in reshaping many aspects of financial services. You will also develop specific practical skills in programming, statistical analysis and financial modelling, which will enable you to apply these technological innovations in a variety of contexts. This may include algorithmic trading, robo-advising, peer-to-peer lending, mobile payments, crowdfunding and digital currencies.
The teaching will be research-led and undertaken by subject experts, involving a mixture of lectures and weekly small-group tutorials as well as computer lab-based sessions for the completion of data-based case studies and applications. Industry-relevant skills are embedded in the units throughout the programme, which is practical in nature without compromising academic rigour.
Admission Requirements
88+
3.3+
66+
6.5+
A strong upper second-class honours degree (65% or higher) or international equivalent in Finance, Economics, Mathematics, Engineering, Physics or Computing OR If your degree subject is not listed above, you must have evidence of an upper second class honours degree which includes three units of mathematics (see Maths qualification requirements) with 60% or above (or international equivalent) in each unit.
24 Jul 2025
1 Year
Sep
Candidates are required to submit references or letter(s) of recommendation for acceptance
Candidates are required to submit an essay(s) for acceptance
Tuition fees
Domestic
19,500 GBP
International
39,000 GBP
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
MSc Financial Technology
12 monthsProgramme duration
39,000 GBPTuition Fee/year
24 Jul, 2025Application Deadline
FinanceMain Subject Area
Programme overview
Main Subject
Finance
Degree
MSc
Study Level
Masters
Study Mode
On Campus
The MSc in Financial Technology will provide you with a comprehensive grounding in the various analytical methods of financial technology, or 'fintech', as well as knowledge of how these methods are utilised in practice in financial markets. The content will combine finance theory with extensive applications through to practical issues using real-world data. The programme includes units addressing the latest technological developments that have transformed many aspects of the finance industry such as big data, artificial intelligence, machine learning, process automation, cryptocurrencies and blockchain, alongside units that cover the underpinning theory and practice of finance.
Artificial intelligence and machine learning are reshaping the financial services sector and are being used across a range of applications including trading, portfolio construction and evaluation, risk management, financial intermediation and corporate finance. You will gain a broad, high-level overview of the impact that technology is having in reshaping many aspects of financial services. You will also develop specific practical skills in programming, statistical analysis and financial modelling, which will enable you to apply these technological innovations in a variety of contexts. This may include algorithmic trading, robo-advising, peer-to-peer lending, mobile payments, crowdfunding and digital currencies.
The teaching will be research-led and undertaken by subject experts, involving a mixture of lectures and weekly small-group tutorials as well as computer lab-based sessions for the completion of data-based case studies and applications. Industry-relevant skills are embedded in the units throughout the programme, which is practical in nature without compromising academic rigour.
Programme overview
Main Subject
Finance
Degree
MSc
Study Level
Masters
Study Mode
On Campus
The MSc in Financial Technology will provide you with a comprehensive grounding in the various analytical methods of financial technology, or 'fintech', as well as knowledge of how these methods are utilised in practice in financial markets. The content will combine finance theory with extensive applications through to practical issues using real-world data. The programme includes units addressing the latest technological developments that have transformed many aspects of the finance industry such as big data, artificial intelligence, machine learning, process automation, cryptocurrencies and blockchain, alongside units that cover the underpinning theory and practice of finance.
Artificial intelligence and machine learning are reshaping the financial services sector and are being used across a range of applications including trading, portfolio construction and evaluation, risk management, financial intermediation and corporate finance. You will gain a broad, high-level overview of the impact that technology is having in reshaping many aspects of financial services. You will also develop specific practical skills in programming, statistical analysis and financial modelling, which will enable you to apply these technological innovations in a variety of contexts. This may include algorithmic trading, robo-advising, peer-to-peer lending, mobile payments, crowdfunding and digital currencies.
The teaching will be research-led and undertaken by subject experts, involving a mixture of lectures and weekly small-group tutorials as well as computer lab-based sessions for the completion of data-based case studies and applications. Industry-relevant skills are embedded in the units throughout the programme, which is practical in nature without compromising academic rigour.
Admission Requirements
Tuition fees
Domestic
International
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
How to get a full scholarship
Looking for a fully-funded scholarship to see you into university? Find out how to boost your chances of getting one.
Scholarships to study abroad
Find scholarships to study abroad with our lists of international scholarships – categorized by country, by subject, and by type of student.
Scholarship Applications: Frequently Asked Questions
Get answers to all your questions about scholarship applications, including tips on how to find scholarships and chances of success.
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PhD Computer Science
PhD Computer Science
PhD Cyber Security (Cyber Secure Everywhere)
PhD Cyber Security (Cyber Secure Everywhere)
PhD Electrical and Electronic Engineering
PhD Electrical and Electronic Engineering
PhD Engineering Biology
PhD Engineering Biology
PhD Geographic Data Science
PhD Mechanical Engineering
PhD Practice-Oriented Artificial Intelligence
PhD Quantum Information Science and Technologies
Life Sciences and Medicine (6)
DEdPsy Educational Psychology
DEdPsy Educational Psychology
PhD Biochemistry
PhD Biochemistry
PhD Biological Sciences
PhD Biological Sciences
PhD Cellular and Molecular Medicine
PhD Cellular and Molecular Medicine
PhD Disability Studies
PhD Disability Studies
PhD Exercise, Nutrition and Health
PhD Exercise, Nutrition and Health
PhD Oral and Dental Sciences
PhD Physiology, Pharmacology and Neuroscience
PhD Population Health Sciences
PhD Psychology
PhD Translational Health Sciences
PhD Veterinary Sciences
PhD Health and Wellbeing
Natural Sciences (6)
EngD Composites Manufacture
EngD Composites Manufacture
PhD Advanced Composites
PhD Advanced Composites
PhD Aerosol Science
PhD Aerosol Science
PhD Chemistry
PhD Chemistry
PhD Earth Sciences
PhD Earth Sciences
PhD Engineering Mathematics
PhD Engineering Mathematics
PhD Geographical Sciences (Human Geography)
PhD Geographical Sciences (Physical Geography)
PhD Mathematics
PhD Physics
PhD Superconductivity
PhD Technology Enhanced Chemical Synthesis
PhD Sustainable Futures
Social Sciences and Management (6)
PhD East Asian Studies
PhD East Asian Studies
PhD Education
PhD Education
PhD Global Challenges and Transformations
PhD Global Challenges and Transformations
PhD Law
PhD Law
PhD Politics
PhD Politics
PhD Social Policy
PhD Social Policy
PhD Social Work
PhD Sociology
PhD Sociotechnical Futures and Digital Methods
PhD Film and Television
MSc Financial Technology
Videos & media
Videos & media