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A young male university student in a navy long-sleeve top working alone at a desk in a maths department study room, leaning forward to write out a stochastic differential equation derivation by hand on lined paper showing dS equals mu S dt plus sigma S dW with Itô's lemma applied step by step, with an open mathematical finance textbook beside him, a separate sheet showing a normal distribution sketch with confidence intervals, a scientific calculator and a teal mug, with a whiteboard of further equations including the Black-Scholes context and confidence interval notation in the background, soft daylight from a side window, representing the mathematical modelling and stochastic analysis focus of Financial Mathematics degrees

DEGREE GUIDE

Financial Mathematics

What do Financial Mathematics degrees involve?

Financial Mathematics degrees teach you how to apply mathematical and statistical methods to analyse financial markets, assess risk, and make data-driven economic decisions. You will explore key areas such as probability theory, mathematical modelling, computational finance, and investment analysis. These courses help you develop strong analytical, problem-solving, and quantitative skills while understanding how mathematical tools are used in banking, insurance, and asset management. You will also learn how to interpret financial data, model complex systems, and apply algorithms to market forecasting. With opportunities for industry placements, practical projects, and professional accreditation, you’ll gain the expertise needed for careers in finance, investment, and risk management.

     Example
Modules

  • Mathematical Methods: Build core skills in algebra, calculus and linear systems, applying them to solve mathematical problems in finance and data analysis.


  • Probability and Statistical Inference: Learn how to use probability theory and statistics to analyse uncertainty, test hypotheses and interpret financial data.


  • Numerical Methods for Differential Equations: Use computational tools to solve equations that model changing systems, including interest rates and investment growth.

Common Degree Names

💼 Placement years are available at several universities, often in finance, data, or risk analysis roles.
🌍 Study abroad is offered at some institutions.



BSc (Hons) Financial Mathematics
BSc (Hons) Mathematics and Finance
BSc (Hons) Financial Mathematics and Statistics
MSci Financial Mathematics



MSci is a four-year integrated Master’s degree that combines undergraduate and Master’s level study in one course.

Sheets of handwritten stochastic differential equation derivations and Itô's lemma workings alongside an open mathematical finance textbook on Brownian motion, a printed graph of a Geometric Brownian Motion Sample Path, a laptop showing a Monte Carlo simulation script and a plot of multiple simulated stock price paths, a scientific calculator, a notebook headed Black-Scholes notes, a teal pen and a patterned ceramic mug, illustrating the stochastic modelling, probability theory and computational simulation focus of Financial Mathematics degrees

Level 3 (A-level / IB Diploma (HL) / Scottish Highers)


Financial Mathematics applies advanced mathematical techniques to financial markets and risk management. Because you'll be using calculus, probability, and statistical modelling every day, these courses have stricter requirements than standard Finance degrees.


You'll need:


  • Maths – essential for all Financial Mathematics degrees


Subjects that could strengthen your application:


  • Further Maths (or IB AA HL)  – highly recommended and sometimes required if it is available at your school

  • Physics or Computer Science – useful for problem-solving and analytical skills

  • Economics or Statistics – helpful as supporting subjects


✨ Maths is essential, and Further Maths (of IB HL AA) is strongly recommended for competitive courses. These degrees are significantly more mathematical than standard Finance or Business courses.


Universities may also accept:


  • BTEC Extended Diplomas in Applied Science (being phased out) or Engineering, usually alongside A-level Maths

  • BTEC National Extended Certificates or National Diplomas alongside relevant A-Level subjects, including Maths

  • IB Career-related Programme (IBCP) with Mathematics: Analysis and Approaches at Higher Level among your IB subjects (minimum two, ideally three - see relevant subjects above) alongside your Career-Related Study; Business or Finance pathways would provide useful complementary knowledge


Entry requirements are specific about Maths; always check the exact requirements.

Level 2 Qualifications (GCSE / MYP / National 5)


Most courses ask for:


  • GCSE English Language and Maths at grade 4/C or above, or equivalent such as National 5s or MYP


📘 For Financial Mathematics, a strong grade in GCSE (or equivalent) Maths (5/B or above, and sometimes 6/A) is usually expected because of the highly mathematical nature of the degree.

Is this degree right for you?

Members can explore whether this degree fits who they are:

  • Skills you'd develop and whether they match your strengths

  • How this aligns with your interests, motivators and values

  • Career paths and where graduates end up

Full access to all self-discovery tools and guides. Cancel anytime.

Skills you would develop in X degree
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Is this a good fit for you?

Use the tabs to explore the kind of person that this would be a good fit for. Do you share the Interests, Motivations, Values, Work identity and skills that people who thrive in this course tend to have?

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Not sure what these things are?  Explore your Identity Tree with us first.

Interests that connect well with a Financial Mathematics degree

Students who enjoy this degree often share these interests. You don't need to feel strongly about all of them, and interests develop over time. If one or two catch your curiosity, or sound like something you'd like to know more about, that's a good sign.

Money, Markets & How Economies Work: Finance is one of the degree's two core disciplines. You'll study how financial markets work, how instruments like bonds, shares, and options are priced, and how mathematical models are used to manage risk in banking, insurance, and investment.


Mathematics, Patterns & Data: Mathematics and statistics are the foundation of everything you study. You'll work with probability, stochastic processes, and statistical modelling, using quantitative tools to analyse financial data and uncover the patterns that drive markets.

Careers a Financial Mathematics degree could lead you to

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