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Finance, digital platforms and regulation for the next generation of banking
Online or on campus
Financial technology is reshaping how money moves, risk is priced and customers bank. Haverton's MSc Fintech unites capital markets literacy with digital products, data science methods and regulatory competence. You will analyse payment rails and open banking, build quantitative credit and fraud models, evaluate distributed ledger applications with sober engineering and legal scrutiny, and design fintech products with unit economics that survive regulation. Graduates leave able to speak both the language of the trading floor and the product engineering room. MSc Financial Technology is taught as one award, not a list of unrelated modules. The published length is 24 months, and the credit total is 36. Students move from Financial Markets, Institutions & Fintech Landscapes through Financial Markets, Institutions & Fintech Landscapes; Corporate Finance & Valuation for Digital Assets; Programming & Data Analysis for Fintech; Payments Systems, Banking & Open Finance; Blockchain, Distributed Ledgers & Tokenisation; Machine Learning for Finance & Credit Risk, and finish on MSc Fintech Capstone Project. Each course has a question, a method, and a submission. In this field, students read a set of figures, build a small case, and state which assumption moves the result. Reading is financial statements, a recognition note, and a risk report. The artefact a marker expects is a recommendation that separates the decision, the numbers, and the risk. The award is built so that a graduate can do the following in practice: Map fintech value chains in payments, lending, wealth and market infrastructure Apply machine learning responsibly to credit, fraud and personalisation Assess blockchain and tokenisation use cases for technical and regulatory fit Teaching assumes the student can read a source, attempt a problem before the seminar, and revise after feedback. Attendance at live seminars is part of the design. The capstone or final course must use the methods of the earlier courses; a project that ignores them does not pass. This course does not confer an accounting, audit, or financial-services licence. The pages for each course name the topics that are examined. Those topics are the syllabus. A brochure line is not a substitute for them.
Modules reference UK FCA, PSD2/open banking, and Basel-aligned risk thinking without reducing the degree to a compliance checklist. Guest practitioners from payments, challenger banks and market infrastructure firms join seminars. Capstone projects may partner with fintech firms under data governance agreements.
Faculty spotlight
Dr. Priya Sharma teaches ML for credit risk; Professor Daniel Mensah specialises in payment systems and financial inclusion technology.
Study online
Online tuition is free. Online examinations and certificates are 100% free and sponsored.
On-campus study
Prefer to learn at our London campus? Campus tuition is published on each programme page. All examinations are 100% free of charge.
| Code | Course | Credits · hours |
|---|---|---|
| FT501 | Financial Markets, Institutions & Fintech Landscapes Financial Markets, Institutions & Fintech Landscapes (FT501) is a course on MSc Financial Technology. It carries 15 credits and 150 notional learning hours, at 10 hours per credit. The course is taught at master's level. Students compare a weaker method, judge the evidence, and state what the result does not show. The chapters are the syllabus. Each chapter is a class of work this course assesses. Preparation is the reading, dataset, or case for that chapter. Seminar time is spent on the decision, the calculation, or the draft. The student revises after feedback. A pass requires the method named in the chapters, evidence a marker can check, and a stated limit on what the result does not show. Haverton University teaches this course on the published route for this degree.
| 15 · 150 h |
| FT502 | Corporate Finance & Valuation for Digital Assets Corporate Finance & Valuation for Digital Assets (FT502) is a course on MSc Financial Technology. It carries 15 credits and 150 notional learning hours, at 10 hours per credit. The course is taught at master's level. Students compare a weaker method, judge the evidence, and state what the result does not show. The chapters are the syllabus. Each chapter is a class of work this course assesses. Preparation is the reading, dataset, or case for that chapter. Seminar time is spent on the decision, the calculation, or the draft. The student revises after feedback. A pass requires the method named in the chapters, evidence a marker can check, and a stated limit on what the result does not show. Haverton University teaches this course on the published route for this degree.
| 15 · 150 h |
| FT503 | Programming & Data Analysis for Fintech Programming & Data Analysis for Fintech (FT503) is a course on MSc Financial Technology. It carries 15 credits and 150 notional learning hours, at 10 hours per credit. The course is taught at master's level. Students compare a weaker method, judge the evidence, and state what the result does not show. The chapters are the syllabus. Each chapter is a class of work this course assesses. Preparation is the reading, dataset, or case for that chapter. Seminar time is spent on the decision, the calculation, or the draft. The student revises after feedback. A pass requires the method named in the chapters, evidence a marker can check, and a stated limit on what the result does not show. Haverton University teaches this course on the published route for this degree.
| 15 · 150 h |
| FT504 | Payments Systems, Banking & Open Finance Payments Systems, Banking & Open Finance (FT504) is a course on MSc Financial Technology. It carries 15 credits and 150 notional learning hours, at 10 hours per credit. The course is taught at master's level. Students compare a weaker method, judge the evidence, and state what the result does not show. The chapters are the syllabus. Each chapter is a class of work this course assesses. Preparation is the reading, dataset, or case for that chapter. Seminar time is spent on the decision, the calculation, or the draft. The student revises after feedback. A pass requires the method named in the chapters, evidence a marker can check, and a stated limit on what the result does not show. Haverton University teaches this course on the published route for this degree.
| 15 · 150 h |
| Code | Course | Credits · hours |
|---|---|---|
| FT505 | Blockchain, Distributed Ledgers & Tokenisation Blockchain, Distributed Ledgers & Tokenisation (FT505) is a course on MSc Financial Technology. It carries 15 credits and 150 notional learning hours, at 10 hours per credit. The course is taught at master's level. Students compare a weaker method, judge the evidence, and state what the result does not show. The chapters are the syllabus. Each chapter is a class of work this course assesses. Preparation is the reading, dataset, or case for that chapter. Seminar time is spent on the decision, the calculation, or the draft. The student revises after feedback. A pass requires the method named in the chapters, evidence a marker can check, and a stated limit on what the result does not show. Haverton University teaches this course on the published route for this degree.
| 15 · 150 h |
| FT506 | Machine Learning for Finance & Credit Risk Machine Learning for Finance & Credit Risk (FT506) is a course on MSc Financial Technology. It carries 15 credits and 150 notional learning hours, at 10 hours per credit. The course is taught at master's level. Students compare a weaker method, judge the evidence, and state what the result does not show. The chapters are the syllabus. Each chapter is a class of work this course assesses. Preparation is the reading, dataset, or case for that chapter. Seminar time is spent on the decision, the calculation, or the draft. The student revises after feedback. A pass requires the method named in the chapters, evidence a marker can check, and a stated limit on what the result does not show. Haverton University teaches this course on the published route for this degree.
| 15 · 150 h |
| FT507 | Cybersecurity, Fraud & Operational Resilience Cybersecurity, Fraud & Operational Resilience (FT507) is a course on MSc Financial Technology. It carries 15 credits and 150 notional learning hours, at 10 hours per credit. The course is taught at master's level. Students compare a weaker method, judge the evidence, and state what the result does not show. The chapters are the syllabus. Each chapter is a class of work this course assesses. Preparation is the reading, dataset, or case for that chapter. Seminar time is spent on the decision, the calculation, or the draft. The student revises after feedback. A pass requires the method named in the chapters, evidence a marker can check, and a stated limit on what the result does not show. Haverton University teaches this course on the published route for this degree.
| 15 · 150 h |
| FT508 | RegTech, Compliance & Financial Regulation RegTech, Compliance & Financial Regulation (FT508) is a course on MSc Financial Technology. It carries 15 credits and 150 notional learning hours, at 10 hours per credit. The course is taught at master's level. Students compare a weaker method, judge the evidence, and state what the result does not show. The chapters are the syllabus. Each chapter is a class of work this course assesses. Preparation is the reading, dataset, or case for that chapter. Seminar time is spent on the decision, the calculation, or the draft. The student revises after feedback. A pass requires the method named in the chapters, evidence a marker can check, and a stated limit on what the result does not show. Haverton University teaches this course on the published route for this degree.
| 15 · 150 h |
| Code | Course | Credits · hours |
|---|---|---|
| FT601 | Fintech Product Strategy & Venture Economics Fintech Product Strategy & Venture Economics (FT601) is a course on MSc Financial Technology. It carries 15 credits and 150 notional learning hours, at 10 hours per credit. The course is taught at master's level. Students compare a weaker method, judge the evidence, and state what the result does not show. The chapters are the syllabus. Each chapter is a class of work this course assesses. Preparation is the reading, dataset, or case for that chapter. Seminar time is spent on the decision, the calculation, or the draft. The student revises after feedback. A pass requires the method named in the chapters, evidence a marker can check, and a stated limit on what the result does not show. Haverton University teaches this course on the published route for this degree.
| 15 · 150 h |
| FT602 | Ethics, Inclusion & Sustainable Finance Technology Ethics, Inclusion & Sustainable Finance Technology (FT602) is a course on MSc Financial Technology. It carries 15 credits and 150 notional learning hours, at 10 hours per credit. The course is taught at master's level. Students compare a weaker method, judge the evidence, and state what the result does not show. The chapters are the syllabus. Each chapter is a class of work this course assesses. Preparation is the reading, dataset, or case for that chapter. Seminar time is spent on the decision, the calculation, or the draft. The student revises after feedback. A pass requires the method named in the chapters, evidence a marker can check, and a stated limit on what the result does not show. Haverton University teaches this course on the published route for this degree.
| 15 · 150 h |
| FT603 | MSc Fintech Capstone Project MSc Fintech Capstone Project (FT603) is a course on MSc Financial Technology. It carries 30 credits and 300 notional learning hours, at 10 hours per credit. The course is taught at master's level. Students compare a weaker method, judge the evidence, and state what the result does not show. The chapters are the syllabus. Each chapter is a class of work this course assesses. Preparation is the reading, dataset, or case for that chapter. Seminar time is spent on the decision, the calculation, or the draft. The student revises after feedback. A pass requires the method named in the chapters, evidence a marker can check, and a stated limit on what the result does not show. Haverton University teaches this course on the published route for this degree.
| 30 · 300 h |
Modules are assessed through a published mix of coursework, applied projects, and examinations. Exam windows are announced in advance so students in other time zones are not forced into overnight sittings. Alternative arrangements are available where documented.
The published duration is 24 months. Teaching language: English. Actual time-to-complete depends on mode and any recognised prior learning.
You may study this award fully online from your country, or — where published — on campus at Haverton. Online study does not require a student visa. Campus study may.
Degree tuition for this award is published as £0 / tuition-free on the online pathway. All online degree examinations and certificates are 100% free and sponsored — the only cost for online study is the application fee. Campus tuition and campus examinations are charged separately. Check the Fees page for details.
Requirements are grouped on this page (academic, English, documents). Equivalent qualifications are considered. English may be waived after prior English-medium study.
Assessment is typically a mix of coursework, projects, and examinations. Doctoral awards include a thesis or dissertation and an oral examination. Details sit in the programme specification and module outlines.
Recognition of the award for local employment, professional licence, or ministry attestation is decided by your employer or regulator. Haverton University publishes verification pages for certificates. We do not claim automatic equivalence in every country.
Start an application on this website. Progress is saved from the first step. Admissions: admissions@haverton.org.
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