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The MSc Finance and Data Science at the University of Exeter is a one-year full-time interdisciplinary programme delivered at the Streatham Campus, Exeter. It is jointly taught by the Business School and the Mathematics department, with strong research input from the Exeter Sustainable Finance Centre and the Institute for Data Science and Artificial Intelligence.
The course combines finance, investment, and data science principles, with an option to specialise in sustainable finance, recognised by the CFA Institute’s Certificate in ESG Investing. Students develop practical programming and quantitative skills for financial data analysis, alongside real-world finance applications.
Course Overview:
Core:
Working with Data
Introduction to Data Science and Statistical Modelling
Fundamentals of Financial Management
Applied Empirical Accounting and Finance
Derivatives Pricing
Advanced Corporate Finance
Investment Analysis Dissertation
Dissertation
Coding Analytics for Accounting and Finance
Sustainable Finance Project
Optional (Sample):
Financial Instruments
Investment Analysis 1
Fundamentals of Financial Technology
Financial Institutions' Risk Management
Climate Finance and Investments
Communicating Data Science
Advanced Topics in Statistics
Data Governance and Ethics
Smart Contracts
Financial Modelling
Research-Led Teaching: Delivered by active academics with strong links to the Alan Turing Institute and Exeter research centres.
Access to Financial Databases: Comprehensive access to data resources for research and projects.
Industry Engagement: Career fairs, employer networking, and CV workshops supported by the Business School.
Practical Projects: Final projects including Investment Analysis Dissertation, Coding Analytics, or Sustainable Finance Project for specialist pathway.
Interdisciplinary Learning: Joint delivery by Business and Mathematics faculties promotes broad analytical skills.
Graduate Destinations: Roles in finance, fintech, sustainable finance, asset management, and the public sector with employers like Bank of America Merrill Lynch, Barclays, HSBC, Vanguard, Credit Suisse, Citibank, Amundi, and Deutsche Bank.
Further Study: Opportunities for research degrees supported by the university’s strong research environment and links to the Alan Turing Institute.
Professional Readiness: Training in financial technology, ESG investing, and data science techniques prepares graduates for evolving finance careers with a sustainability focus.
Entry Requirements: 2:2 with honours in Accounting, Finance, Investment, Economics, Maths, Business, Engineering, Social/Natural Science or related discipline from a recognised university. IELTS Academic, IELTS Academic Online and IELTS One Skill Retake: 6.5 overall and no less than 6 in any sectionTOEFL iBT, TOEFL iBT Home Edition, TOEFL iBT Paper Edition and TOEFL MyBest scores: 90 with minimum scores of 21 for writing, listening, reading and speakingScholarships availableYour 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.Financial AnalystRisk ManagerInvestment Banking AnalystFinancial Technology SpecialistFinance/Data Science ConsultantSustainable Finance SpecialistAsset ManagerPublic Sector Analyst
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University of Exeter
