Viewing course details for 2025-26 year of entry
- Code
- PGG101
- Attendance
- Full-time, Part-time
- Start
- September 2025
- Fees
- £11,300 (UK) £18,000 (INT)
- Duration
- 1 year full-time, 2 years part-time
- Course Leader
- Dr Nick Sharples
- Study mode
- On campus
- Location
- Hendon campus
- Placement year
- No
- School / Department
- Design Engineering and Mathematics
Why choose Financial Technology MSc at Middlesex?
Our degree’s core focus is to give you the ability and confidence to contribute to the technical development of financial services whether in a small start-up or an established company.
You will work with experts in finance, computer science, and mathematics from across the university’s departments.
Group work can include students from our Mauritius and Dubai campuses, giving you a global perspective on Financial Technology and helping you to build an international collaborative network.
Our innovative module “Current Topics in Financial Technology” allows you to co-design your learning activities to your particular interests.
The course is designed for applicants who wish to learn about the financial sector while enhancing their programming skills with applications to finance.
What you will gain
This programme provides a global perspective on finance and the technical skills to develop financial technology products. It will equip you for a variety of technical roles in the growing financial technology sector, from quantitative analyst to machine learning engineer.
You will gain an overview of the nature and operations of financial markets, and become adept at accessing, analysing and visualising a range of types of financial data.
You will also develop your programming skills to include a range of Artificial Intelligence and Machine Learning theories and techniques, database technologies, application programming interfaces (APIs), distributed computing methods and blockchain technologies. You will have hands-on experience in applying these techniques to produce viable financial technology products as part of an authentic, collaborative software development team.
As part of the programme you will co-design your learning activities to suit your particular interests, and can work with peers in London, Mauritius and Dubai, collaborating internationally to solve real-life problems with financial technology.
Most modules adopt a portfolio-based approach to assessment. This means you will build up a variety of practical solutions to real-world financial problems that you can share online and showcase to potential employers.
Throughout the course you will develop the critical graduate competencies of technological agility, problem solving and delivery, collaborative innovation and entrepreneurship, communication and inclusion.
What you will learn
- Financial markets: you will develop a critical understanding of the organisation and structure of various international financial markets, and the disruptive influence of Financial Technology products.
- Artificial intelligence: you will be able to critically compare machine learning strategies, and implement them to solve problems in financial technology.
- Financial technology projects: you will have a thorough understanding of the design and structure of financial technology projects, including project life-cycles, software development strategies, the use of cloud distribution technologies and testing strategies.
- Current topics in financial technology: in our co-designed module you will receive peer and expert support in area of your interest.
What skills will you gain
- Financial analysis: you will master and be able to critically evaluate the quantitative instruments used to analyse financial markets.
- Financial theories: you will confidently reason with the mathematical theories underpinning financial technologies, including linear algebra, probability distributions, time series, financial models, and blockchains.
- Programming: you will develop advanced programming skills including the use of APIs, complex databases, distributed computing and collaborative software development.
3 great reasons to pick this course
About your course
Your course focuses on the development of Financial Technology products. You will gain a broad overview of the financial sector while specialist modules in finance, mathematics, and computing will enhance your knowledge and skill in developing sophisticated Financial Technology products.
Your course will be tailored to your interests, first in a co-designed module where you will receive peer and expert support in an area of your choice, then in the dissertation project where you will deliver a substantial Financial Technology product either individually or collaboratively.
Throughout this course your learning and assessment is centered on authentic problems in financial technology, so you will graduate with a portfolio of practical solutions that you can showcase online.
Modules
Here is a brief overview of the modules you will study on your course.
This module will develop your Python programming skills, while introducing you to a range of AI theories and techniques. You will become adept at visualizing data, applying AI and machine learning to financial data, interpreting results and evaluating performance.
This module will give you hands-on experience of software development in collaborative groups. It will extend your knowledge to the use of client-server technologies, databases and APIs, which are essential in the development of Financial Technology products.
This module will provide an overview of the nature and operation of financial markets and their traded instruments. You will critically examine case studies of Financial Technology products, and will become adept at accessing and analysing various types of financial data.
This module will equip you with the skills to engage with the cutting edge of financial technology. With peer and expert guidance, you will co-design your learning activities to an area of your personal interest, and individually or collaboratively develop an application of your area.
This module will develop your programming and finance skills through rigorously exploring the mathematics that underpin Financial Technology. You will learn how mathematical ideas such as probability theory, calculus, and linear algebra are combined to build the powerful tools of AI, data analysis, hypothesis testing, and core financial models.
In this module you will consolidate and extend your learning in a substantial piece of independent or group work on a topic or problem that interest you. You will demonstrate expertise in problem definition, research design, analysis, software development, and critical presentation of results. Your supervisor can support you in prototyping your own financial technology product.
Register your interest
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Teaching
A combination of teaching methods will be used to enhance learning, including seminars, workshops, computer labs, class activities, directed reading and online activities.
In computing and mathematics modules you will be taught primarily in computing labs. Theoretical concepts will be explained in depth before you will work on practical, formative problems, with the support of the module team. For collaborative projects, you will be assigned into development teams to solve problems using appropriate tools.
Seminars are highly interactive sessions where you will be invited to present your thoughts with the class and participate with discussions.
In our innovative “Current Topics in Financial Technology” module you will be supported in developing independent research skills before choosing your own area of interest. Seminar and lab sessions are then used for student-led discussions about your work so far, with the support of the module team.
During the semesters, you will typically have 12 hours of scheduled activities per week with an expectation of around 28 hours of independent learning per week.
Our Hendon campus, north London.
Academic support
We have a strong support network online and on campus to help you develop your academic skills. We offer one-to-one and group sessions to develop your learning skills together with academic support from our library, IT teams and learning experts.
Coursework and assessments
For most modules you will produce a portfolio of practical solutions to authentic problems in financial technology, due for submission at the end of each module. These tasks include:
- reports and data analyses, for finance modules
- individual and collaborative programming exercises and commentary, for computing modules
- mathematical problems including graphics, code and commentary, for mathematics modules
In "Current Topics in Financial Technology" you will produce a mini-project on an application in financial technology, for example automated trading algorithms, a model to value financial instruments, or anomaly detection. This will consist of a report and code to illustrate, test, analyse or illustrate the topic. This mini-project can be individual or collaborative.
For the dissertation module "Financial Technology Project", you will complete a substantial piece of independent or collaborative work on a topic or problem that interests you with the support of your supervisor. This could be a prototype financial technology product and will include a written submission, computer code, presentation and viva-voce.
This course uses authentic task-based assessment methods throughout, rather than exams or timed tests.
Feedback
You'll evaluate your work, skills and knowledge and identify areas for improvement. Sometimes you'll work in groups and assess each other's progress.
Each term, you'll get regular feedback on your learning.
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North London campus
Our north London campus is 23 minutes away by underground train, travelling from London Kings Cross.
Learn moreFacilities and support
Our Sheppard Library provides a wide range of resources and support to help you to succeed in your studies.
Student support
We offer lots of support to help you while you're studying including financial advice, wellbeing, mental health, and disability support.
Additional needs
We'll support you if you have additional needs such as sensory impairment or dyslexia. And if you want to find out whether Middlesex is the right place for you before you apply, get in touch with our Disability and Dyslexia team.
Wellness
Our specialist teams will support your mental health. We have free individual counselling sessions, workshops, support groups and useful guides.
Work while you study
Our Middlesex Unitemps branch will help you find work that fits around uni and your other commitments. We have hundreds of student jobs on campus that pay the London Living Wage and above. Visit the Middlesex Unitemps page.
Careers
How can the MSc Financial Technology support your career?
This course is an excellent preparation for a career in the financial sector and financial start-ups. Our graduates develop the skills and knowledge to excel in a range of technology-driven and analytical roles within these industries.
Our postgraduate courses have been recognised for their ability to support your career. We are a top 10 UK University for employability (UniCompare Rankings 2025), and a top 10 UK university for industry connections and funding in Times Higher Education Young University Rankings 2024.
Career paths
Possible career paths include Data Scientist, Data Analyst, DevOps Engineer, Machine Learning Engineer, Quantitative Analyst, Blockchain Developer, and Software Developer.
MDXWorks
MDXworks, our employability service, will help you make the most of your experience and connections to achieve your career goals. You'll have unlimited access to one-to-one advice and support from specialists in your sector plus 24/7 online support. You can also make the most of events and networking opportunities, on and off campus.
Global alumni network
You’ll be studying with students from 122 countries who’ll become part of your personal global network. You'll learn how to work with a global mindset and make invaluable connections on your course for your chosen industry.
Entry Requirements
Qualifications
We welcome your application regardless of your background or experience.
For this course, ideally, we are looking for:
- An honours degree normally classified 2.2 or above, or equivalent, with programming or data analysis in its curriculum or
- A minimum of three years' relevant work experience and the ability to study at postgraduate level.
If you have relevant qualifications or work experience, we may be able to count this towards your entry requirements.
Personal statements
Make sure that you highlight your best qualities in your personal statement that are relevant to this course. Such as the ability to be forward-thinking, creative and collaborative.
Interviews
You won’t be required to attend an interview.
We welcome students from the UK, EU and all over the world. Join students from over 122 countries and discover why so many international students call our campus home:
- Quality teaching with top facilities plus flexible online learning
- Welcoming north London campus that's only 30 minutes from central London
- Work placements and networking with top London employers
- Career support to get you where you want to go after university.
Qualifications
Here are the qualifications relevant for this course:
- A 2:2 honours degree, or equivalent qualification, with programming or data analysis in its curriculum.
If you have relevant qualifications or work experience, we may be able to count this towards your entry requirements.
English language
You'll need good English language skills to study with us. Find out more about our English language requirements. And, don't worry If you don't meet our minimum English language requirements, as we offer an intensive pre-sessional English course.
Visas
International students can apply for a student visa to train to teach at Middlesex University if:
- they have an unconditional offer from Middlesex University
- they can financially support themselves in the UK and pay for their course
- they meet the English language requirements for the student visa.
Apply as early as possible to make sure you get a place. You can submit your application before you receive your final qualification.
Find out how to apply for postgraduate taught courses and watch our step-by-step video.
Personal statements
Make sure that you highlight your best qualities in your personal statement that are relevant to this course. Such as your ability to be forward-thinking, creative and collaborative.
Interviews
You won't be required to attend an interview.
Fees and funding
The fees below are for the 2025/26 academic year:
UK students1
Full-time students £11,300
International students2
Full-time students: £18,000
Additional costs
We cover your costs for the day-to-day things that you need to do well in your studies.
- Free – laptop loans, Wi-Fi and printing
- Free specialist software for your course
- Free online training with LinkedIn Learning.
The following course-related costs are not included in the fees, and you will need to budget for these:
- the cost of books that you might wish to purchase.
Financial support
We offer lots of support to help you with fees and living costs. Check out our guide to student life on a budget and find out more about postgraduate funding.
Postgraduate scholarships
You may be eligible for one of our scholarships including:
- The Alumni Postgraduate Award – for all UK Middlesex alumni a 20% fee reduction
- The Commonwealth Scholarship – full course fees, airfares and a living allowance
- The Chevening Scholarship – full course fees
- The European Academic Awards – £1000 to £7000 for students showing academic excellence
- Regional or International Merit Award –up to £2,000 towards course fees
For international students, we also have a limited number of other awards specific to certain regions, and work in partnership with funding providers in your country to help support you financially with your study.
Find out more about our postgraduate scholarships.
Help from your employer
Your employer can contribute towards the cost of your postgraduate study as part of their staff development programme.
Work while you study
If you are not currently working, we can help you find work that fits around uni and your other commitments. We have hundreds of student jobs on campus that pay the London Living Wage and above.
Fees disclaimers
1. UK fees: The university reserves the right to increase postgraduate tuition fees in line with changes to legislation, regulation and any government guidance or decisions. The tuition fees for part-time UK study are subject to annual review and we reserve the right to increase the fees each academic year by no more than the level of inflation.
2. International fees: Tuition fees are subject to annual review and we reserve the right to increase the fees each academic year by no more than the level of inflation.
Any annual increase in tuition fees as provided for above will be notified to students at the earliest opportunity in advance of the academic year to which any applicable inflationary rise may apply.
Get answers from our Unibuddy student ambassadors
View our range of student ambassadorsWe’ll carefully manage any future changes to courses, or the support and other services available to you, if these are necessary because of things like changes to government health and safety advice, or any changes to the law.
Any decisions will be taken in line with both external advice and the University’s Regulations which include information on this.
Our priority will always be to maintain academic standards and quality so that your learning outcomes are not affected by any adjustments that we may have to make.
At all times we’ll aim to keep you well informed of how we may need to respond to changing circumstances, and about support that we’ll provide to you.