BSc in FinTech Technologies
Course Overview
The BSc in FinTech Technologies is a UK Level 6 honours degree delivered over three years full-time, with part-time and accelerated routes at the London School of Computing and Engineering (LSCE), a specialist division of Harold International College of London. The programme is offered across three parallel routes, on-campus in central London, fully online with remote lab provisioning, and by distance learning with the same remote provisioning, so every intake shares the same seminar timetable regardless of study mode. It is written for learners looking to develop the applied technologies powering UK financial services, from payments to compliance analytics in a UK-aligned setting, with content mapped to the competency areas of BCS, the Institute of Analytics and the Royal Statistical Society. Delivery draws on Python, SQL, PyTorch, TensorFlow, Jupyter notebooks and cloud-hosted GPU labs, so applied practice sits alongside academic framing at every stage and each submission is returned with structured written feedback moderated to UK grading standards.
By graduation you will have completed a final-year project or dissertation on a substantive FinTech Technologies problem, alongside a graduate-level portfolio suitable for UK employers. Optional placement-year candidates finish with twelve months of documented UK workplace practice on the record, giving a strong platform for graduate applications. The programme situates every module in a UK context, drawing on London-region case studies from fintech, health data, retail analytics, public-sector research and platform engineering so learners graduate with a working understanding of how the field operates inside the country they are qualifying in. Every learner is matched with a named programme tutor for one-to-one coaching from induction to award, and international applicants receive dedicated visa, accommodation and English-language guidance alongside the academic decision so the enrolment step is well supported.
Key Features
- Bachelor programme taught in small, tutor-visible cohorts across the LSCE central London campus, fully online and distance-learning routes, with a named programme tutor for every intake.
- Syllabus mapped to the competency areas of BCS, the Institute of Analytics and the Royal Statistical Society, so the qualification carries clear weight with UK employers and articulates cleanly with wider professional-body development frameworks.
- Modules on payments infrastructure, open banking, distributed ledgers, RegTech and quantitative analytics.
- Live case studies drawn from London's payments, wealth management and challenger-bank sectors.
- Applied projects using Python, SQL and cloud analytics platforms familiar to UK fintech employers.
- Weekly named-tutor visibility with structured written feedback on submitted work, and moderated marking to UK Level 6 honours degree standards throughout the programme.
- Careers-service introductions to the Alan Turing Institute, the UK AI Safety Institute and the fintech and health-data clusters between the City and King's Cross, with structured application coaching in the final stage of the programme and continued alumni support after graduation.
What You Will Learn
- Design and prototype payment and settlement workflows in a controlled sandbox.
- Model financial data using Python, pandas and SQL for RegTech and compliance analytics.
- Apply cryptography and secure API design to consumer and B2B financial products.
- Build risk, fraud and anti-money-laundering models with realistic UK datasets.
- Interpret open banking, PSD2 and FCA guidance and translate it into product decisions.
- Assess distributed ledger and tokenisation patterns for suitability in regulated settings.
- Communicate quantitative findings to product, risk and compliance stakeholders.
- Prepare a fintech portfolio suitable for graduate roles across London's financial services.
Who This Course Is For
- A-level, BTEC or Access-to-HE students applying for a UK honours degree.
- International undergraduates seeking a UK Bachelor in the field.
- Foundation-year students progressing into the honours stage.
- Working professionals combining paid work with structured part-time study.
- Employer-sponsored learners on a graduate development programme.
Career Pathways
- FinTech Software Engineer
- RegTech Analyst
- Payments Engineer
- Quantitative Analyst (junior)
- BI Analyst in Financial Services
- Data Engineer in Banking
- Product Analyst
The LSCE careers service supports Bachelor graduates with placement introductions, one-to-one application coaching and portfolio review, alongside a working contact book of UK employers across fintech, health data, retail analytics, public-sector research and platform engineering. Alumni access continues after graduation, with senior-role job alerts, named-tutor introductions and continued application coaching available to LSCE graduates as they progress into UK roles.
Entry Requirements
- A-levels totalling at least 96 UCAS points (or international equivalent), including one science, maths or computing subject.
- GCSE English at grade 4/C and Mathematics at grade 4/C (or equivalent).
- Applicants with a Level 3 BTEC or a completed LSCE Certificate/Diploma progress on articulation.
- IELTS 6.0 overall (no band below 5.5) for non-native English speakers.
- Two references, normally one academic and one personal.
Applicants with employer sponsorship, portfolio evidence or an existing LSCE credential are encouraged to speak with admissions ahead of application, as credit-transfer and accelerated intake options are reviewed case by case.
Why Study at LSCE
The London School of Computing and Engineering is a specialist computing and engineering division of Harold International College of London. LSCE teaches in small, tutor-visible cohorts and partners with UK professional bodies including BCS, the Institute of Analytics and the Royal Statistical Society, so qualifications carry weight with employers hiring across fintech, health data, retail analytics, public-sector research and platform engineering. The central London campus places students within a short tube ride of the Alan Turing Institute, the UK AI Safety Institute and the fintech and health-data clusters between the City and King's Cross, and every intake receives named programme-tutor support from induction to award, with structured written feedback moderated to UK standards throughout the programme.
LSCE offers three parallel study modes so career changers, working professionals and international applicants can complete the Bachelor around existing commitments, whether on-campus, fully online with remote lab provisioning, or by distance learning with the same remote provisioning. Students routinely attend PyData London, London AI meetups, the Royal Statistical Society London group and Alan Turing Institute open events during their studies, giving structured visibility to UK employers and to the wider professional community, and the LSCE careers service runs at least one industry-careers day per academic year with structured one-to-one application support in the final stage. Every route joins the same intake cohort with weekly tutor visibility, so students are known by name inside the LSCE community from induction, and Harold International College's shared library and elective-module access give LSCE students visibility across the wider college programme catalogue subject to availability.
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