BSc Hons Mathematics with Finance and Accounting

3 Years On Campus Bachelors Program

Queen Mary University of London

Program Overview

The BSc (Hons) in Mathematics with Finance and Accounting at Queen Mary University of London blends strong mathematical and statistical training with a solid grounding in finance, accounting, and business economics. It suits students who enjoy mathematics and quantitative reasoning, yet also want to apply those skills to real-world finance, accounting, and business contexts.

Curriculum structure

Year 1
In the first year, students build core mathematical and statistical foundations alongside introductory finance and accounting: they study modules such as Applied Calculus, Applied Probability & Statistics, Numbers, Sets and Functions, Vectors and Matrices, together with Economics for Business Management and Introduction to Accounting and Finance. This ensures they develop solid maths skills, understand basic economic concepts, and get an early feel for accounting and financial practices.

Year 2
In the second year, the programme deepens the mathematical content with Applied Linear Algebra, Probability & Statistics II, Statistical Modelling I, while also introducing more specialised finance and accounting through modules like Financial and Management Accounting and Financial Markets and Securities. Elective options, such as Actuarial Mathematics I, Differential Equations, or programming courses, allow students to begin tailoring their degree — blending mathematical rigour with business‑oriented flexibility.

Year 3 (Final Year)
In the final year, students engage with advanced, business‑applicable topics: compulsory modules include Advanced Financial and Management Accounting, Corporate Financial Management, Financial Mathematics I, and Random Processes. There are also electives such as Financial Mathematics II, Machine Learning, Mathematical Tools for Asset Management, Numerical Computing with C and C++, Time Series, and an optional third‑year project — enabling in‑depth mathematical and financial analysis, computational skills, and preparation for real‑world finance or business environments.

Focus areas
Mathematics and statistics, financial and management accounting, corporate finance and financial markets, probability & stochastic processes, financial mathematics, numerical and computational methods, business economics and financial analysis.

Learning outcomes
Graduates will have strong analytical and quantitative skills, a solid understanding of mathematics and statistics, and the ability to apply these to finance, accounting, and business scenarios — including analysis of financial data, computation of risk or return, and business decision‑making informed by quantitative reasoning.

Professional alignment (accreditation)
Although the degree is not formally accredited by a separate professional accounting or actuarial body, it belongs to the QAA benchmark group for mathematics, statistics, and operational research — ensuring academic standards. Through its blend of mathematics and finance/accounting, it effectively aligns with roles in finance, accounting, business analysis, consultancy, and related fields.

Reputation (employability & outcomes)
The programme draws on teaching from both the School of Mathematical Sciences and the School of Business & Management at Queen Mary — giving students exposure to both rigorous mathematical training and business‑oriented thinking. Its graduates find roles across finance, accounting, consulting, business, and public‑sector organisations.

Experiential Learning (Research, Projects, Internships etc.)

Students enrolled on the BSc Mathematics with Finance and Accounting programme at Queen Mary don’t simply learn theory — they progressively build practical, highly employable skills through a mix of mathematics, statistics, finance, accounting, and business‑economics training. The programme is delivered jointly by the School of Mathematical Sciences and the School of Business and Management, ensuring students get exposure to both rigorous mathematical/statistical methods and real‑world business and financial practices.

The facilities support this well: the School of Mathematical Sciences occupies a modern building — recently refurbished with £18 million investment — which offers high‑quality teaching rooms, private and group study spaces, and a social hub where students can collaborate and discuss coursework, projects, or assignments.

Students also benefit from computing and statistical lab sessions, where statistical modules use computer labs — giving hands‑on exposure to statistical software and computational tools relevant to finance and accounting.

Practical & Academic Features:

The curriculum combines core mathematics and statistics with modules in finance, accounting, and business economics — so students learn both the theory and the business context.
Statistical and finance‑accounting modules give practical experience using statistical packages and preparing reports — which builds useful analytical and reporting skills valued in finance and accounting careers.
Students have the option to include a professional placement year — providing a chance to work in the financial sector and gain real‑world work experience while still enrolled.
Alternatively, students can choose a “Year Abroad” option, studying at one of QMUL’s international partner universities — broadening their global exposure and perspective.
Teaching involves a mix of lectures, tutorials, and exercise‑classes (where students work through problems together), which helps develop collaborative problem‑solving skills — a valuable asset in finance and business roles.
Each student is assigned a personal academic advisor for guidance and support; additional tutorial help is available via module leaders’ office hours, ensuring strong academic and pastoral support.

Why This Programme Is Great to Consider
By the time a student graduates with BSc Mathematics with Finance and Accounting, they are not only confident in rigorous mathematics and statistical reasoning — but also equipped with applied finance and accounting skills that are directly relevant to business, banking, consultancy, risk management, or actuarial sectors. The availability of professional placement or year‑abroad options offers flexibility to tailor the course according to career goals or global ambitions. Plus, the supportive learning environment and computing‑lab exposure prepare students well for the quantitative and analytical demands of finance‑sector roles.

Progression & Future Opportunities

Graduates from the Mathematics with Finance and Accounting programme at Queen Mary University of London are well-prepared for careers in finance, accounting, data analytics, and business consulting. They develop strong quantitative, analytical, and financial skills that enhance their employability in competitive professional environments.

Typical job roles include:

Financial Analyst or Investment Analyst
Accountant or Audit Associate
Risk Management or Compliance Analyst
Business/Data Analyst in finance or consulting

This programme supports long-term career growth through:

University career services providing dedicated careers consultants, internship coordinators, employability workshops, CV and interview coaching, and networking events tailored to finance and accounting sectors
High employability outcomes, with many graduates securing relevant roles within six months of graduation and competitive starting salaries in finance and accounting
Strong industry connections offering internships, placements, and real-world project experience with leading accounting and financial firms
Long-term value from a degree that combines rigorous mathematics with practical financial and accounting skills, giving graduates a versatile foundation
Positive graduation outcomes, with alumni progressing into accounting, investment analysis, risk management, financial consulting, and quantitative finance roles

Further Academic Progression:
Graduates may pursue professional accounting qualifications such as ACCA or CIMA, or advance to postgraduate study with a Master’s in Finance, Accounting, or Financial Mathematics. Other options include doctoral research in mathematics, finance, or related fields, or an MBA to progress into leadership and strategic roles within finance and business sectors.