BSc Hons Mathematics with Finance

3 Years On Campus Bachelors Program

University of Liverpool

Program Overview

The BSc (Hons) Mathematics with Finance at the University of Liverpool combines rigorous mathematical theory with practical financial knowledge, preparing you for quantitatively focused careers in finance, banking, analytics, and business. This degree is ideal for students who enjoy logical thinking and problem-solving and want to understand how mathematical methods are applied to real financial systems.


Curriculum structure

Year One

In your first year, you’ll build a strong mathematical foundation through core modules such as Calculus I & II and Linear Algebra, which underpin all later study in mathematics and finance. You’ll also develop data-handling and computational skills in Introduction to Statistics Using R and Mathematical IT Skills. Alongside this, Principles of Finance introduces you to financial markets, investment decisions, and the role of finance in organisations.

Year Two

Year two deepens your quantitative understanding of finance through modules such as Financial Mathematics and Statistics and Probability I & II, where you’ll explore risk, uncertainty, and mathematical modelling. You’ll complement this with finance-focused study in Corporate Financial Management and Financial Reporting and Finance, gaining insight into how financial decisions are made within firms. Optional modules allow you to start tailoring your degree toward data analysis, applied mathematics, or financial modelling.

Year Three

In your final year, you’ll focus on advanced applications of mathematics in finance and risk. Core and optional modules such as Applied Probability, Stochastic Modelling in Insurance and Finance, and Statistical Methods in Insurance and Finance develop skills used in actuarial work, quantitative finance, and risk management. You may also choose finance-based options, allowing you to specialise further in areas such as investments, derivatives, or econometrics.


Focus areas (in a string):

Financial mathematics · Probability and statistics · Risk and uncertainty · Mathematical modelling · Corporate finance · Quantitative analysis


Learning outcomes (in a string):

Ability to apply advanced mathematical and statistical techniques to financial problems, analyse and interpret quantitative data, understand financial decision-making, and communicate complex ideas clearly in professional contexts.


Professional alignment (accreditation):

The programme is recognised by the Institute and Faculty of Actuaries, offering the potential for exemptions from selected professional examinations, and aligns with standards set by the Royal Statistical Society.


Reputation (employability rankings):

The University of Liverpool is a Russell Group university with a strong reputation for research-led teaching and graduate employability. Graduates of Mathematics with Finance are well prepared for careers in banking, actuarial science, investment analysis, consulting, data analytics, and financial services.

Experiential Learning (Research, Projects, Internships etc.)

The Mathematics with Finance degree at the University of Liverpool is designed to ensure you don’t just understand mathematical and financial theory, but can apply it confidently to real-world problems. From early in the programme, learning is structured around active engagement through lectures, small-group tutorials, supervised problem classes, and practical computing sessions. Many modules integrate financial modelling, probability, and statistics with hands-on data analysis, allowing you to build strong quantitative and analytical skills.

You’ll regularly use mathematical and statistical software in dedicated University computing facilities, and your studies are shaped by a research-led teaching environment within the Department of Mathematical Sciences. As the course progresses, you’ll tackle increasingly complex financial and mathematical problems, preparing you for analytically demanding careers in finance and related fields:

  • Mathematical and statistical computing: Modules include practical work using software such as R for statistics and data analysis, as well as mathematical tools used for modelling and quantitative problem solving.

  • Finance-focused mathematics: Study probability, statistics, stochastic processes, and financial mathematics, applying mathematical techniques directly to financial contexts such as risk, pricing, and uncertainty.

  • Small-group tutorials and supervised classes: Regular sessions focused on solving problems, discussing methods, and applying theory, helping you develop precision, logical reasoning, and confidence.

  • Project and coursework-based assessment: Opportunities to work independently and collaboratively on applied mathematical and financial problems, strengthening analytical thinking and written communication skills.

  • Access to specialist facilities: Use University computing labs and study spaces designed to support mathematical modelling, data analysis, and quantitative coursework.

  • Extensive library and digital resources: Benefit from a wide range of mathematics, statistics, economics, and finance textbooks, journals, and online materials to support coursework and independent study.

  • Research-led teaching: Learn from academic staff whose research in mathematics and related fields informs module content, ensuring your studies reflect current thinking and methods.

  • Careers and employability support: The University provides structured careers guidance, helping you explore internships, develop employability skills, and prepare for quantitative finance roles.

Facilities list available on the University of Liverpool campus facilities webpage.


Why This Degree Is a Strong Choice

This programme is ideal if you enjoy mathematics and want to see its direct application in finance, economics, and data-driven decision-making. You’ll graduate with a strong foundation in mathematical reasoning, statistical analysis, and financial theory — a combination highly valued by employers in banking, investment, insurance, consultancy, and analytics.

By blending rigorous mathematics with applied finance and practical computing, BSc (Hons) Mathematics with Finance at Liverpool prepares you for both competitive graduate roles and further study in quantitative or financial disciplines.

Progression & Future Opportunities

Graduates of the BSc (Hons) Mathematics with Finance at the University of Liverpool progress into highly sought-after analytical and finance-driven careers, supported by strong quantitative training and applied financial knowledge. Typical graduate roles include Financial Analyst, Risk Analyst, Actuarial Assistant, and Data Analyst, where employers value rigorous problem-solving and numerical decision-making skills:
• The programme blends pure and applied mathematics with finance-focused modules, preparing students for roles across banking, investment, insurance, consultancy, and data-led industries.
• Graduates are well equipped for both immediate employment and further professional or academic study in finance-related fields.

Progression & Future Opportunities:

  • University employability support: Students benefit from the University of Liverpool’s Careers and Employability service, offering personalised career guidance, CV and application reviews, mock interviews, employer presentations, careers fairs, and access to internships and graduate opportunities.

  • Employment outcomes and salary potential: Mathematics graduates demonstrate strong outcomes, with a high proportion in employment or further study within 15 months of graduation, and competitive early-career salaries that reflect sustained demand for mathematical and financial expertise.

  • Industry relevance and employer alignment: The curriculum covers financial mathematics, probability, statistics, and modelling techniques aligned with real-world financial and risk environments, ensuring graduates develop skills employers actively seek.

  • Accreditation and long-term value: Liverpool’s mathematics degrees are aligned with recognised professional standards, supporting long-term career credibility and potential exemptions toward professional qualifications.

  • Graduation outcomes: Graduates move into finance, actuarial work, analytics, consultancy, postgraduate study, or structured professional training programmes in the UK and internationally.

Further Academic Progression:
After completing this programme, students commonly progress to master’s degrees in Financial Mathematics, Actuarial Science, Quantitative Finance, Data Science, Economics, or Statistics. The strong mathematical foundation also supports progression toward professional qualifications in finance and actuarial fields, as well as research-led postgraduate study for those interested in academia.

Program Key Stats

£29,500 (Annual cost)
£9,790
£ 29
Sept Intake : 14th Jan


14 %
No
Yes

Eligibility Criteria

ABB
70%
32
70

NA
NA
6.0
78
No

Additional Information & Requirements

Country Requirements

Career Options

  • Data Analyst
  • Statistician
  • Actuary
  • Financial Analyst
  • Investment Analyst
  • Quantitative Researcher
  • Operations Research Analyst
  • Risk Analyst
  • Economist
  • Market Research Analyst
  • Business Analyst
  • Data Scientist
  • Cryptographer
  • Software Developer
  • Machine Learning Engineer
  • Accountant
  • Auditor
  • Teacher
  • Research Scientist
  • Meteorologist
  • Biostatistician
  • Financial Planner
  • Mathematical Modeler
  • Academic Researcher
  • Artificial Intelligence Specialist

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