MSc Financial Technology (FinTech)
- Course type
- Postgraduate
- Course qualification
- MSc
Course summary
What is the fee?
For all course options, see fees and funding
Where will I study?
Peel Park campus
How long will I study?
One year
Two years
Overview
International applicants: please check the international intakes page for the latest information and application dates.
Financial technologies are no longer peripheral innovations—they are now central to the redefinition of global financial systems, business models, and regulatory paradigms. The MSc Financial Technologies responds to this systemic shift by offering a programme that is not merely reactive to industry trends, but proactively designed to shape the future of financial practice.
Traditional finance education often fails to integrate the pace, complexity, and ethical challenges of digital transformation. This programme addresses that gap by fusing technical fluency with strategic insight, enabling graduates to critically engage with the technologies, data infrastructures, and governance models that underpin contemporary finance.
Sectoral Urgency: FinTech is disrupting legacy institutions, creating new asset classes, and challenging regulatory norms. There is a pressing need for professionals who can lead innovation responsibly and navigate emerging risks.
Interdisciplinary Demand: Employers increasingly seek talent that combines financial acumen with data science, blockchain literacy, and ethical foresight. This programme cultivates that hybrid capability.
Educational Purpose: Beyond skills, the programme fosters reflective, values-led leadership. It prepares graduates to interrogate the societal impact of financial technologies and to design inclusive, resilient financial futures.
By embedding innovation, criticality, and co-creation into its core, the MSc Financial Technology positions itself not just as a degree, but as a strategic intervention—developing leaders who will shape the next generation of financial systems with integrity and vision.
To find out more, register for a Postgraduate Open Day or learn more about our master's courses in business, finance and law.
You will:
- Gain hands-on technical skills in Python, Power BI, SQL, and data analytics that employers across finance actively seek
- Study cutting-edge topics including digital assets, cryptocurrencies, blockchain, and FinTech innovation
- Have the opportunity to apply your learning through a placement, internship, or research project in your final trimester
- Build a hybrid profile combining financial understanding with the technical capability that defines modern FinTech careers
- Learn in a diverse, international cohort, sharing perspectives that reflect today's global financial industry
- Graduate ready for roles such as FinTech analyst, data analyst, and business intelligence analyst
This is for you if...
You are looking to understand how technology is reshaping the financial industry
You aspire to have a career in FinTech companies, digital banking, entrepreneurial finance, crowdfunding, regtech, insurtech, international payments and cryptocurrencies
You want to explore technological innovation / transformation in finance for a business idea or for implementation within your organisation
FAQs
What is a Masters in FinTech?
An MSc in Fintech (Master of Science in Financial Technology) is a postgraduate degree designed to equip students with the skills and knowledge needed to thrive in the rapidly evolving financial technology sector. The programme typically covers a range of topics, including financial services and markets, technological innovations, data analytics and more.
Why study MSc FinTech?
Studying our MSc Fintech offers numerous benefits. You'll gain an in-depth understanding of the latest technologies and trends in the financial sector, and will have ample career opportunities in the growing sector. You'll have the skills and knowledge needed for high-demand roles in innovative companies and financial institutions, having developed blend of technical and financial skills, making you versatile and valuable in the job market.
Can MSc FinTech lead to a good career?
Studying a Masters in Fintech can be a very promising career path. The industry is growing at a fast pace, meaning lots of opportunities for experts in the field. Working in fintech also allows you to be at the forefront of innovation, helping shape future business providing an exciting and rewarding career.
How you'll learn
Future careers
Employment
You will graduate equipped for a range of roles at the intersection of finance and technology. The skills you develop across this course such as programming in Python, data analytics, business intelligence and visualisation, database management, and an understanding of digital assets and financial regulation will open paths into roles such as FinTech analyst, data analyst, business intelligence analyst, financial data scientist, risk analyst, quantitative analyst, and product or innovation roles within banks, FinTech firms, consultancies, and financial technology providers. Employers across banking, payments, investment, and data-driven financial services increasingly seek graduates who combine financial understanding with technical capability; this is what MSc FinTech is designed to build. Our graduates have jobs in BNY, Interactive Investors, Close Brothers, and The Car Co.
Further Study
After graduating, students can apply for a PhD in an area aligned with their interests.
Career Links
This course benefits from the school's close and longstanding links with industry, built through industry collaborations, knowledge transfer partnerships, research projects, and student opportunities with regional businesses, SMEs, and multinationals. The school's curriculum is kept career-focused and industry-informed through close links with a variety of businesses and organisations across the globe. Salford Business School graduates have gone on to roles at well-known companies including BMW, PricewaterhouseCoopers, American Express, The Bank of New York and Citibank, and you join the Salford Business School Alumni Network on graduation. The school holds respected accreditations including the Small Business Charter, PRME and EFMD, and has recently been recognised with Tech Industry Gold accreditation from TechSkills for related business and technology programmes, reflecting its employer-led, future-facing approach.
Salford Business School | University of Salford
Partnerships | University of Salford
Awards, recognitions and accreditations | University of Salford
Modules
This course equips you to operate at the intersection of finance and technology, where digital innovation is reshaping financial systems, markets, and regulation. You will build both the technical fluency and the strategic, ethical judgement needed to apply emerging financial technologies responsibly. Across this course, you will study global financial technologies, digital assets, cryptocurrencies and trading, SQL and database management, business intelligence using Power BI, and financial programming with Python, before applying your learning in a substantial practical project. The structure moves from foundational concepts toward applied, technology-driven skills, reflecting the data and database capabilities increasingly sought across banking, fintech, and data-driven financial roles. You will gain hands-on experience working with financial data and FinTech tools, supported by practical, case-based learning accessible to students from both technical and non-technical backgrounds. This course is delivered at Peel Park over twelve months full-time.
Modules
Global Financial Technologies
The Global Financial Technologies module develops students’ competence in understanding and applying emerging financial models within digital ecosystems. It introduces key innovations such as blockchain applications, central bank digital currencies (CBDCs), fintech platforms, and ethical algorithmic governance. Students critically assess financial innovation through regulatory, legal, and societal lenses, gaining the insight needed to advise on responsible financial strategies in rapidly evolving digital industries.
Digital Assets, Cryptocurrencies and Trading
This module responds directly to growing student interest and industry relevance in digital financial assets, cryptocurrencies, and tokenisation. It focuses on the financial and economic characteristics of these assets, examining how they are valued, traded, and priced in modern financial markets. The module incorporates practical insights into market behaviour, trading mechanisms, and analytical approaches, while complementing the conceptual and contextual knowledge introduced in the Global Financial Technologies module. This ensures both academic coherence and progression within the programme.
SQL and Databases Management
This module introduces students to SQL and relational database management in the context of financial technology. Designed for learners from non-technical backgrounds, it develops practical understanding of how structured data is organised, stored, queried, and managed in relational databases. Students will learn to retrieve, filter, join, summarise, and update data using SQL, while developing awareness of data quality, governance, privacy, and security.
Business Intelligence using Power BI
This module enables students to synthesise financial data into actionable insights through dynamic dashboards and visual analytics. Learners integrate data from multiple sources, apply DAX and Python for automation, and construct interactive financial models to support decision-making. This module emphasises clarity, precision, and strategic communication in data-driven financial contexts.
Financial Programming and Technologies with Python
In this module, students will gain hands-on experience in algorithmic design, object-oriented programming, and econometric modelling. This module equips learners to interrogate financial datasets, build automated solutions, and contribute to the development of innovative FinTech systems. It also encourages reflective practice and contextual understanding of financial innovation
FinTech Data Analytics
Fintech companies heavily depend on machine learning, artificial intelligence, predictive analytics, and data science to simplify financial decision-making and optimise solutions. In this module, you will learn and apply a range of established Big Data and analytics techniques to critically analyse information and propose solutions to FinTech and other financial sector problems. You will gain core skills and expertise in relevant programming languages and computational modelling skills such as Python, artificial intelligence, and data mining to generate data-driven insights for new and existing financial services and products. On successful completion of the module, you will be able to collect and analyse data to underpin business decisions and work effectively in developing innovative FinTech data analytics technologies.
After completing the core modules, you will then undertake a 60-credit practical project with the aim to prepare you to process, analyse, and interpret big quantitative and qualitative data to produce a complete research output. Thus, you will learn to be an independent researcher or analyst. And that way, you will be prepared for jobs in academia and industry. There are three pathways available within the practical project module:
Practical Project (Internship)
You will spend three months part-time with an organisation, locally, nationally, or internationally, agreed with Salford Business School. SBS-Employability can help you find the right placement and offers extra-curricular workshops to build your skills in CV writing, networking, personal branding, interviews, and consultancy. You will be supported by an academic supervisor and will produce a 10,000–12,000-word report showcasing the work you carried out.
Practical Project (Placement)
You will spend six months part-time with an organisation, locally, nationally, or internationally, agreed with Salford Business School. SBS-Employability can help you find the right placement and offers extra-curricular workshops to build your skills in CV writing, networking, personal branding, interviews, and consultancy. You will be supported by an academic supervisor and will produce a 10,000–12,000-word report showcasing the work you carried out.
Practical Project (Dissertation)
You will be assigned an academic supervisor experienced at the postgraduate level, who will guide and support you throughout the research process and provide feedback as your work progresses. For your final assessment, you will produce a 12,000–15,000-word dissertation.
We take a flexible approach to our course delivery that promotes diversity and inclusivity and provides a blended learning experience, which will vary to meet specific programme requirements. This learning time includes formal lectures and interactive activities such as seminars, tutorials, practical sessions, laboratory and studio learning. Smaller classes may be used to support collaborative activities such as project and group work and presentations. A range of different assessments and feedback is offered to meet the needs of both our diverse student body and specific subject needs.
Our postgraduate taught courses are normally made up of 30 credit modules which are equal to 300 hours of learning time, or 15 credit modules which are equal to 150 hours of learning time. A Master’s degree typically comprises 180 credits, a PGDip 120 credits, and a PGCert 60 credits.
Please note that exact modules and content offered may vary in order to keep content current and, for courses that offer optional modules, may depend on the number of students selecting particular options. When accepting your offer of a place to study on a programme with optional modules, you should be aware that optional modules may not all run each year. Your tutor will be able to advise you as to the available options on or before the start of the programme. Whilst the University tries to ensure that you can undertake your preferred options, it cannot guarantee this.
Entry requirements
Applicant profile
This course is ideal for you if you hold a good undergraduate degree and are eager to build a career at the intersection of finance and technology. It suits both graduates from finance, business, economics, computing, mathematics, or related disciplines, and those with relevant industry experience looking to move into the fast-growing FinTech sector. You do not need a strong technical background, as the course is designed to be accessible to students from both technical and non-technical backgrounds. The ideal applicant is curious about emerging technologies such as data analytics, digital assets, and financial innovation, motivated to develop practical programming and data skills, and keen to apply their learning to real-world financial problems.
English language requirements
International applicants will be required to show a proficiency in English. An IELTS score of 6.0 (with no element below 5.5) is proof of this. If you need to improve your written and spoken English, you might be interested in our English language courses.
Find out about dedicated support for international applicants.
Standard entry requirements
Undergraduate degree
A minimum 2:2 honours in any subject. A wide range of professional qualifications are also accepted, either in partial or complete fulfilment of entry requirements.
International students
We accept qualifications from all around the world. Find your country to see a full list of entry requirements.
Alternative entry requirements
Accreditation of Prior Learning (APL)
We welcome applications from students who may not have formal/traditional entry criteria but who have relevant experience or the ability to pursue the course successfully.
The Accreditation of Prior Learning (APL) process could help you to make your work and life experience count. The APL process can be used for entry onto courses or to give you exemptions from parts of your course.
Two forms of APL may be used for entry: the Accreditation of Prior Certificated Learning (APCL) or the Accreditation of Prior Experiential Learning (APEL).
Fees and funding
2026/27
| Type of study | Fees |
|---|---|
| Full-time | £8,820 per year |
| Part-time | Part time fees will be calculated on a pro rata basis |
2027/28
| Type of study | Fees |
|---|---|
| Full-time | £9,000 per year |
| Part-time | Part time fees will be calculated on a pro rata basis |
2026/27
| Type of study | Fees |
|---|---|
| Full-time | £16,980 per year |
2027/28
| Type of study | Fees |
|---|---|
| Full-time | £17,460 per year |
Additional costs
Additional costs
You should also consider further costs which may include books, stationery, printing, binding and general subsistence on trips and visits. For more information please see our funding section.
International applicants
If you are applying from overseas and are accepted onto the programme with placement, there will be additional costs associated with visa extensions. These include:
- Extending your student visa fee (visit gov.uk for more information). Please note, this is in addition to your original student visa fee.
- Tier 4 biometrics enrolment fee.
- Immigration Health Surcharge 12 month fee (visit gov.uk for more information).
Visit Immigration and Visa FAQ and read the section on extending your Tier 4 visa for further information.
International scholarships
If you are a high-achieving international student, you may be eligible for one of our international scholarships.
How to apply
Still have some questions? Contact us:
By email: enquiries@salford.ac.uk
By phone: +44 (0)161 295 4545