BSc (Hons) Mathematics and Finance

3 Years On Campus Bachelors Program

University of York

Program Overview

The University of York’s BSc (Hons) Mathematics and Finance degree is a three‑year undergraduate programme that combines strong mathematical foundations with financial theory and data analysis, giving students the tools to understand and model real‑world financial systems. This course suits students who enjoy quantitative problem‑solving and want to build skills relevant to careers in banking, investment, risk analysis, economics, and financial technology.

Curriculum Structure

Year 1
In the first year, students develop fundamental skills in mathematics, statistics, and economics that underpin later study. Core modules include Foundations and Calculus and Introduction to Probability and Statistics for mathematical reasoning, Principles of Economics to understand market fundamentals, and Introduction to Finance to introduce financial decision‑making and instruments. Students also study Multivariable Calculus and Matrices to extend calculus into multiple dimensions and Data, Evidence and Policy to strengthen analytical thinking in data‑driven contexts.

Year 2
In the second year, the focus shifts toward consolidating quantitative and analytical skills across mathematics and finance. Core modules include Probability and Markov Chains to model random processes, Corporate Finance to explore financial management in firms, Statistical Inference and Linear Models to analyse data relationships, and Econometric Analysis for econometric techniques applied to economic and financial data. Students also choose option modules such as Microeconomic Theory, Macroeconomic Analysis and Policy, or Linear Algebra to tailor their interests.

Year 3
In the final year, students study advanced quantitative finance methods and financial market structures. Core modules like Mathematical Finance in Discrete Time and Continuous Time, Commodity Markets and Derivative Securities, and The Structure and Regulation of Financial Markets develop mathematical modelling and financial market insight. Students also select two option modules from areas such as Statistical Data Science, Time Series, Decision Theory and Bayesian Statistics, or economics topics like Macroeconomics: Topics in Theory for Policy, allowing tailored expertise in statistics, finance, or economics.

Focus Areas
Quantitative finance, probability and stochastic processes, financial economics, econometrics, statistical modelling, mathematical problem solving, financial market analysis.

Learning Outcomes
Graduates will be able to apply mathematical and statistical techniques to analyse and model financial data, interpret and critique financial and economic theory, use logical reasoning to make evidence‑based decisions, deploy econometric and computational tools for real‑world problems, and communicate complex quantitative and financial ideas effectively.

Professional Alignment (Accreditation)
The programme draws on recognised academic standards in mathematics and finance and is designed to equip students with analytical competencies that align with professional expectations in finance, banking, investment, risk analysis, and quantitative roles; it also supports academic progression in postgraduate study.

Reputation (Employability Rankings)
The University of York is known for its strong research performance and high quality of teaching, with its Department of Mathematics ranked among the UK’s top research departments. Graduates benefit from strong analytical training valued by employers in sectors such as finance, data science, economics, and technology.

Experiential Learning (Research, Projects, Internships etc.)

Students on the BSc (Hons) Mathematics and Finance programme at the University of York benefit from a curriculum that blends deep mathematical training with practical financial insight, helping them build skills that employers actively seek in analytical and finance‑related roles. From Year 1, learners work in dedicated study spaces equipped with blackboards and computing facilities that support individual and group projects, giving them opportunities to apply mathematical and statistical tools to real data and financial examples. Small‑group tutorials and seminars support deeper understanding of concepts like probability, econometrics and corporate finance, and students are encouraged to join the Maths Society’s activities to sharpen collaboration and problem‑solving skills. While this degree does not include a mandatory placement year, optional placement opportunities can often be pursued through the university’s broader careers support, enhancing practical experience beyond campus. Throughout the three years, students use analytical techniques and software to model financial markets, analyse risk and make evidence‑led decisions:

• Dedicated departmental study spaces with computing resources that support collaborative problem solving and project work.
• Interactive tutorials and seminars that reinforce analytical techniques in mathematics and financial economics.
• Maths Society workshops and events that build communication, teamwork and problem‑solving confidence.
• Modules that integrate practical quantitative methods with financial theory, such as statistical inference, econometrics and corporate finance.
• Opportunities for independent exploration and analytical communication through assessments and data‑based assignments.
• Support from academic tutors to develop analytical reasoning, quantitative skills and career‑focused competencies.

Facilities and Support
Learners benefit from York’s modern campus environment with dedicated spaces for mathematics and economics study. The university’s library collections provide extensive print and digital resources to support coursework, project research and independent exploration, while personalised academic support ensures students remain confident and effective across all stages of their programme.

Career‑Focused Outcomes
Graduates leave with strong analytical thinking, quantitative and interpretive skills directly relevant to careers in banking, financial services, data analysis, public administration, engineering, IT and beyond. Employers value the ability to apply rigorous mathematical methods to financial decision‑making, and students on this course develop the confidence to communicate complex ideas clearly and work effectively in analytical teams.

Accreditation and Recognition
This programme is delivered jointly by the Department of Mathematics and the Department of Economics and Related Studies, reflecting its interdisciplinary strength and academic rigour. Graduates benefit from training that aligns with professional expectations in both mathematical and financial domains.

Progression & Future Opportunities

Graduates of the BSc (Hons) Mathematics and Finance at the University of York typically progress into roles such as Financial Analyst, Risk Analyst, Investment Consultant, and Data‑Driven Business Analyst, applying strong quantitative reasoning and financial insight in competitive industries. The programme’s blend of mathematics and finance prepares students for careers in financial services, consulting, technology and analytics, with strong potential for salary growth and professional development as skills deepen.

Graduate Outcomes
Career support services: Students benefit from the University’s Careers and Placements Service, offering tailored support on career planning, CV development, interview preparation and access to employer networks and internship opportunities that link academic learning with real‑world experience.
Employment statistics and salary figures: Mathematics and finance graduates from York enjoy strong prospects in employment markets that value numeracy and financial analysis, securing positions with competitive starting salaries and multiple pathways for advancement across sectors.
Industry placements and partnerships: The programme includes opportunities for work placements and experiential learning that help students build professional networks and practical experience, supported by the University’s employer relationships and careers events.
Accreditation and long‑term value: The degree’s strong academic foundation in both mathematics and finance provides lasting value to employers and supports progression into specialist roles in finance, risk, consulting or analytics.
Graduation outcomes: Graduates are well prepared for analytical and finance‑focused careers in banking, investment, consultancy, technology and data analytics, equipped with strong numerical, statistical and financial modelling capabilities.

Further Academic Progression
After completing the BSc (Hons) Mathematics and Finance, students may pursue postgraduate study such as Master’s programmes in Financial Mathematics, Quantitative Finance, Risk Management, Data Science or Business Analytics to deepen expertise and expand career prospects. Many also consider professional finance‑related qualifications or research‑oriented degrees to specialise further and enhance opportunities in advanced quantitative and financial fields.