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The MSc Financial Technology with Data Science at the University of Bristol is a one-year, full-time, technology-driven program that prepares students to develop, assess, and implement financial technology applications.
Unlike traditional finance programs, this course is hosted by the engineering faculty and focuses on computational, statistical, and machine learning techniques for large-scale financial data analysis.
Course Overview:
Students without software development experience will take a unit in Software Development, Programming and Algorithms
Students with software development experience will take a unit in Statistical Computing and Empirical Methods.
Large-Scale Data Engineering
Introduction to Financial Technology
Introduction to AI and Data Analytics
Advanced Financial Technology
Financial Technology Group Project
Teaching: Delivered through lectures, practical workshops, group projects, and research-led supervision.
Assessment: Assessed via practical assignments, project reports, presentations, and an individual research project.
Group project solving real-world financial technology challenges with input from industry partners.
Individual research or implementation project integrating knowledge across all core modules.
Opportunity to work on scalable data engineering and AI-driven financial applications.
Foundational programming unit tailored based on the student’s prior software development experience
Graduates are prepared for analytical, technical, and development roles in fintech, financial services, and technology sectors.
Suitable for launching fintech start-ups or progressing to research and development roles.
Real-world industry engagement through projects enhances employability.
Prepares students for future doctoral study in fintech or computational finance.
Part time studies available ONLY for home studentsIELTS: 6.5 overall, with a minimum of 6.0 in each component (listening, reading, writing, and speaking) Scholarships availableEntry requirements: Upper second-class honours degree or an international equivalent in a Numerate Science, Computer Science, or EngineeringAccounting, Astrophysics, Biology, Chemistry, Econometrics, Economics, Finance, Genetics, Geology/Earth Sciences, Medicine, Neuroscience, Operations Research, Physics, Psychology are also acceptedYour personal details, academic qualifications (predicted works too), a personal statement, evidence of your English language skills (with relevant qualifications), a reference and employment history are required for applications.Fintech AnalystData ScientistData EngineerQuantitative AnalystFinancial Technology DeveloperFinancial Software EngineerFintech Researcher
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University of Bristol
