University of Exeter United Kingdom

BSc Finance: Data Science pathway

Integrated Masters with deeper specialization and research focus
Taught in English
Duration 3 Years
Mode On Campus
Level Undergraduate
Degree Bachelors Degree
Closing soon September 2026

Course Overview

The BSc Finance: Data Science pathway at the University of Exeter is designed for ambitious students eager to master the quantitative and analytical skills essential for navigating the modern financial landscape. You will delve into core financial principles while gaining expertise in data science methodologies, preparing you for a dynamic career at the intersection of finance and technology. This rigorous undergraduate degree equips you with the critical thinking and technical proficiency to address complex financial challenges and opportunities, making you a highly sought-after graduate in this evolving field. You will explore topics from econometrics to financial modelling, building a robust academic foundation.

This full-time, on-campus degree is studied over three years, with a structured curriculum that builds your knowledge progressively. Your first year introduces foundational concepts in finance, accounting, and statistical methods, including introductory econometrics and data science. Subsequent years deepen your understanding with modules in corporate finance, investment practice, FinTech, and advanced data science techniques, allowing for specialisation through optional courses. You will have the opportunity to undertake a significant applied finance project in your final year, preparing you for roles in financial analysis, data science, quantitative finance, and related sectors.

Course Curriculum & Details

Detailed information for serious evaluators

Program Overview

This BSc Finance program with a Data Science pathway equips students with a strong foundation in financial principles and advanced data science techniques. The curriculum covers core finance topics such as investment, corporate finance, and financial reporting, while integrating data science methodologies to analyze financial markets and economic trends. Students will explore econometrics, statistical methods, and various data science applications relevant to finance, preparing them for analytical roles in the financial industry.

1 Year 1

Finance and Investment Compulsory
Statistical Methods for Accounting and Finance Compulsory
Introduction to Financial Accounting Compulsory
Economic Principles Compulsory
Introduction to Business and Management Compulsory
Introduction to Econometrics Compulsory
Introduction to Data Science in Economics Compulsory

2 Year 2

Ethics and Corporate Governance Compulsory
Corporate Finance Compulsory
Investment Practice Compulsory
Financial Reporting and Analysis Compulsory
FinTech in Investment Management Compulsory

3 Optional modules

Quantitative Methods
The Economics of Financial Crises
Econometrics
Data Science in Economics
Digital Technologies and the Future of Work
Leading in International Contexts
Thinking Entrepreneurially
Leadership: Challenges and Practice
Organisational Behaviour
Business Analytics in Practice
Information Systems
Data Science in Society
Acting Entrepreneurially

4 With Industrial Experience

Business School Industrial Experience Compulsory

5 With Year Abroad

Year Abroad (Study and Work Placement) Compulsory
Year Abroad (Study) Compulsory
Year Abroad (Work Placement) Compulsory

6 Final year

Financial Institutions' Risk Management Compulsory
Advanced Corporate Finance Compulsory
Sustainable and Responsible Finance Compulsory
Applied Finance Project Compulsory

7 Optional modules

Financial Modelling
Equity and Fixed Income
Futures and Options
Leading Change in Practice
Employment Law for Managers
Equality and Diversity at Work
Managing Entrepreneurially
Managing Change and Crisis in Organisations
Business Ignition - Idea to Implementation
Business and Climate Change
Machine Learning for Economics
Bitcoin, Money and Trust
Ethics and Responsible Innovation
Media, Al and the Metaverse
Entrepreneurial Futures
Contemporary Leadership Issues

Cost & Affordability

A clear picture of what this course will cost you

Program Costs

First Year Fee Tuition fee
USD 33,657.00
Second Year Fee Tuition fee
USD 33,657.00
Third Year Fee Tuition fee
USD 33,657.00
Total Program Cost Estimated total tuition
USD 100,971.00

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

Accreditation & Assessment ServicesBrand ManagementCreative Production & Project ManagementCybersecurity & Network SecurityEdTech & E-LearningEducational Support ServicesFinancial Technology (Fintech)Networking & Internet ServicesTelecom Software & SystemsVocational & Technical Training

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 BSc Finance: Data Science pathway 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 BSc Finance: Data Science pathway at University of Exeter

Can I work while studying?

International students in degree courses 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?

Applicants must meet specific English language requirements. Accepted tests include Duolingo, TOEFL, and IELTS, each with minimum score thresholds for various components.

What jobs can I get after studying this course?

Graduates can pursue careers as financial analysts, data scientists, quantitative analysts, investment managers, and risk analysts.

What will I actually study in this course?

This degree combines core financial principles with advanced data science methodologies, preparing students for careers in finance and technology. Key topics include econometrics and financial modelling, ensuring a well-rounded education.

When can I start — what are the intake months?

The BSc Finance: Data Science pathway has an intake in September. Applications should be submitted in advance to secure a place in the program.
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