MSc Finance and Data Science

1 Years On Campus Masters Program

University of Exeter

Program Overview

The MSc Finance and Data Science at the University of Exeter blends finance expertise with the latest data science skills, giving you the tools to tackle today’s complex financial challenges. It’s ideal if you’re curious about how data can shape investment decisions, financial strategy, or risk management, and want a career where numbers and technology meet.

Curriculum Structure

Term 1 (Autumn) — Foundations of Finance & Data Science

In the first term, you’ll get hands-on with essential skills, learning programming and statistical modelling through modules like “Working with Data” and “Introduction to Data Science and Statistical Modelling.” At the same time, “Fundamentals of Financial Management” grounds you in core finance concepts, helping you see how data science applies to real-world financial problems. By the end of this term, you’ll be confident navigating both financial data and market concepts.

Term 2 (Spring) — Advanced Financial Analytics

The second term takes you deeper. Modules like “Applied Empirical Accounting and Finance,” “Derivatives Pricing,” and “Advanced Corporate Finance” let you explore complex financial decisions, model derivatives, and use data-driven approaches to investment analysis. Optional modules like “Financial Modelling” or “Data Governance and Ethics” let you tailor the experience to your career goals, whether you’re aiming for investment banking, fintech, or consultancy.

Summer (Project / Dissertation)

Your final term is all about putting your skills to the test. You’ll undertake a project or dissertation — options include a traditional research dissertation, a hands-on Coding Analytics for Accounting and Finance project, or a Sustainable Finance Project. This is your chance to showcase everything you’ve learned and produce work that impresses future employers.

Focus areas (in a string):

Financial analytics, quantitative modelling, programming for finance, statistical data science, derivatives and corporate finance, sustainable finance.

Learning outcomes (in a string):

Analyse and interpret financial data, apply statistical and machine learning techniques, build quantitative finance models, critically evaluate financial decisions, and complete an independent finance-data project.

Professional alignment (accreditation):

Exeter Business School is triple-accredited (AACSB, EQUIS, AMBA). The programme also links to CFA Institute ESG topics and provides access to CQF resources, supporting careers in investment, risk, and financial technology.

Reputation (employability rankings):

Exeter ranks Top 5 in the UK for Accounting and Finance graduate prospects (The Complete University Guide 2026) and consistently performs well in global master’s rankings for student satisfaction and employability.

Experiential Learning (Research, Projects, Internships etc.)

At Exeter, learning goes far beyond lectures. On the MSc Finance and Data Science, you’ll get hands-on experience working with real financial data, applying coding and analytics skills to solve problems just like professionals do. The programme is designed so you can experiment, collaborate, and see the impact of your work, whether it’s through group projects, summer research, or industry-focused challenges. You’ll also have access to expert guidance, career support, and cutting-edge research centres, helping you turn theory into practical, employable skills.

Here’s a taste of what that looks like in practice:

Work with real data: Dive into finance-related datasets provided by the Business School and Library, giving you practical experience in analysing the kind of data used in real-world finance.
Hands-on projects: Your summer project can be coding-focused, investment-analysis based, or explore sustainable finance challenges, letting you showcase your skills in a professional context.
Teamwork and collaboration: Many modules involve group work, helping you develop communication and problem-solving skills that employers value highly.
Engagement with institutes: Connect with the Institute for Data Science and Artificial Intelligence (IDSAI) and the Exeter Sustainable Finance Centre, attending workshops, seminars, and talks from industry experts.
Library and research support: Exeter’s libraries offer advanced research resources, study spaces, and subject-specific guides to support your learning and dissertation work.
Career-ready tools: Through the University’s career services, you’ll access workshops, employer events, and guidance to turn your skills into standout CVs and applications.

Progression & Future Opportunities

Graduates of the MSc Finance and Data Science leave Exeter ready to take on exciting, data-driven roles in the finance world. Many go on to careers as Financial Analysts, Risk Management Specialists, Investment Banking Analysts, or Fintech/Data Science Consultants. With the hands-on skills and practical experience you gain here, you’ll be well-prepared to step straight into competitive, high-growth sectors:

Here’s how Exeter helps you get there:

Tailored career support: Through the Business School’s Master Your Future programme, you’ll get workshops, one-to-one guidance, and sector-specific coaching to make sure your CV, interview skills, and applications stand out.
University-wide Career Zone: Beyond the Business School, Career Zone offers guidance interviews, psychometric tests, employer talks, and application support — everything you need to confidently navigate your job search.
Strong graduate outcomes: Exeter graduates in business and management often move into highly skilled roles soon after graduation, securing positions that match their ambitions and expertise.
Salary progression: On average, Exeter business graduates earn around £39,000 three years after graduating, with many reaching £55,000 after five years, reflecting strong career growth.
Industry connections: The programme links you to the Exeter Sustainable Finance Centre and the Institute for Data Science and Artificial Intelligence, giving you access to cutting-edge research and industry insights.
Professional accreditation: The sustainable finance pathway aligns with the CFA Institute Certificate in ESG Investing, and students receive access to the CQF Institute, enhancing your long-term career credentials.

Further Academic Progression:

After completing the MSc, you have multiple ways to continue growing:

PhD opportunities: For those interested in research, you can pursue a PhD in finance, data science, or related areas, building on the strong analytical foundation from this programme.
Professional qualifications: Many graduates go on to pursue professional certifications like the CFA, CQF, or specialised data science credentials to advance their careers.
Further MSc study: You could also explore other specialised Master’s programmes, such as Business Analytics, Financial Technology, or Advanced Data Science, to deepen your expertise or pivot into a specific niche.