University of Exeter United Kingdom

MSc Finance and Data Science

Integrated Masters with deeper specialization and research focus
Taught in English
Duration 1 Years
Mode On Campus
Level Postgraduate
Degree Masters Degree
Closing soon September 2026

Course Overview

The MSc Finance and Data Science at the University of Exeter is designed for ambitious individuals seeking to master the intersection of financial theory and advanced analytical techniques. In a world increasingly driven by data, this programme equips you with the quantitative skills and programming expertise essential for analysing complex financial markets, securities, and applications. You will develop a robust understanding of both financial management principles and cutting-edge data science methodologies, preparing you to tackle contemporary challenges and contribute to innovation within the finance industry. This postgraduate degree is ideal for those aiming to lead in the evolving financial landscape.

This full-time, on-campus Masters degree is studied over one year, immersing you in a curriculum that balances core finance modules with essential data science and statistical modelling techniques. You will engage with practical applications through compulsory and optional modules covering areas like investment analysis, derivatives pricing, financial modelling, and sustainable finance. The programme culminates in a significant dissertation or project, allowing you to apply your integrated knowledge to a real-world problem. You will graduate with highly sought-after skills, ready for diverse career paths in financial analysis, risk management, investment banking, fintech, and consulting.

Course Curriculum & Details

Detailed information for serious evaluators

Program Overview

This MSc program in Finance and Data Science equips students with a robust understanding of both financial principles and data science methodologies. The curriculum includes compulsory modules covering data analysis, statistical modeling, financial management, derivatives pricing, and advanced corporate finance, alongside practical skills in coding for finance and undertaking a sustainable finance project. Students can further specialize by selecting from a wide range of optional modules in areas such as financial instruments, risk management, fintech, climate finance, advanced statistics, and data governance.

1 Compulsory modules

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 See note A above Compulsory
Dissertation See note A above Compulsory
Coding Analytics for Accounting and Finance See note A above Compulsory
Sustainable Finance Project See note A above Compulsory

2 Optional modules

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
Banking and Financial Services
Domestic and International Portfolio Management
Investment Analysis 2
International Financial Management
Corporate Governance and Finance
Mergers, Management Buyouts and Other Corporate Reorganisations
Bank Management
Sustainable and Responsible Finance
Digital Transformation

Cost & Affordability

A clear picture of what this course will cost you

Program Costs

30% off
First Year Fee Tuition fee
USD 30,690.00 USD 44,065.00
Total Program Cost Estimated total tuition
USD 30,690.00 USD 44,065.00

Currency note: Program costs shown in USD based on the available tuition breakdown.

Living Costs

Food & Groceries USD 2,417.00 - USD 4,028.00
Transport USD 645.00 - USD 1,289.00
Utilities & Bills USD 1,128.00 - USD 1,934.00
Estimated Total USD 4,190.00 - USD 7,251.00

Living cost estimates are based on Streatham Campus.

Outcomes & Employability

What happens after you graduate

92%
Graduate Employment Rate Within 6 to 12 months of graduation

Common Graduate Roles

Agricultural Services & ExtensionArtificial Intelligence & Machine LearningBrand ManagementCrop Production & FarmingCybersecurity & Network SecurityForestry & LoggingLivestock & Animal HusbandryPerformance & Growth MarketingPrivate Equity & Venture CapitalSupply Chain & Commodity Trading

Top Employers Hiring for this course

Accenture

BT Group

Deloitte UK

EY

Ernst & Young

HSBC

J.P Morgan Chase Co.

KPMG International Limited (Klynveld Peat Marwick Goerdeler)

Why Study MSc Finance and Data Science at University of Exeter

What makes this program stand out

September 2026 Closing soon

Next intake is in September 2026

Life at University of Exeter in United Kingdom

What daily life looks like for international students

Language

English

Primary language everywhere

Climate

Mild & Rainy

10-20°C average, pack layers

Safety (Numbeo Safety Index)

Very Safe

Exeter is one of UK's safest cities

Frequently Asked Questions

Common questions about MSc Finance and Data Science at University of Exeter

Can I work while studying?

As a degree student, you can work up to 20 hours per week during term time and full-time during breaks. No separate work permit is needed.

What English language score do I need for this course?

For English language proficiency, you can submit scores from various tests including Duolingo, TOEFL, IELTS, or PTE. Specific score requirements apply for each test format, so ensure you meet them before applying.

What jobs can I get after studying this course?

Some potential job titles include financial analyst, risk manager, investment banker, financial technologist, and consultant.

What will I actually study in this course?

This program integrates expertise from the Exeter Sustainable Finance Centre and the Institute for Data Science and Artificial Intelligence. You'll learn key topics like programming for financial applications and quantitative techniques for analyzing financial data.

When can I start — what are the intake months?

The MSc Finance and Data Science program has its intake in September. Make sure to apply early to secure your spot.
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