BSc Hons Mathematics

3 Years On Campus Bachelors Program

Queen Mary University of London

Program Overview

The BSc (Hons) Mathematics at Queen Mary University of London offers students a rigorous and flexible foundation in pure and applied mathematics, blending analytical reasoning with real‑world problem solving. It’s ideal for students who love numbers, want to build strong quantitative and computational skills, and are aiming for careers in data science, finance, research, or further study.

Curriculum Structure

Year 1:
In the first year, students build core mathematical knowledge with modules covering Introduction to Analysis with Calculus, Linear Algebra, Probability and Statistics, Vectors and Matrices, and Programming in Python I. This year establishes strong analytical reasoning and introduces essential computing tools that support problem solving across science and industry.

Year 2:
The second year develops deeper understanding with content such as Differential Equations, Linear Algebra II, Probability and Statistics II, and Programming in Python II. Students also begin exploring optional topics that reflect their interests, broadening both theoretical insight and applied mathematical skills.

Year 3:
In the final year, students study advanced mathematics through optional modules and specialised topics, with choices that might include mathematical modelling, stochastic processes, computational statistics, or other areas aligned with their goals. This year also offers the opportunity to undertake a project that demonstrates independent thinking and real‑world application of mathematics.

Focus areas (in a string):

Calculus, Linear Algebra, Differential Equations, Probability & Statistics, Mathematical Modelling, Computational Mathematics, Python Programming, Advanced Electives

Learning outcomes (in a string):

Develop strong analytical reasoning, apply quantitative methods to complex problems, use computational tools effectively, communicate mathematical results clearly, and adapt mathematical thinking to diverse real‑world scenarios

Professional alignment (accreditation):

The programme equips students with rigorous mathematical training and computational capability, preparing graduates for careers that require high‑level quantitative skills and for further academic study.

Reputation (employability rankings):

Queen Mary University of London is a respected Russell Group institution known for high‑quality research and education in mathematics. Graduates often move into competitive roles in analytics, finance, technology, education, and research, with strong support from career services and academic staff.

Experiential Learning (Research, Projects, Internships etc.)

The BSc (Hons) Mathematics degree at Queen Mary University of London focuses on using mathematical thinking in real, collaborative, and applied ways so students graduate with confidence in both theory and practice. From day one, students engage with mathematical problems through lectures, tutorials, and exercise classes, working together with classmates to tackle real mathematical challenges — the same kind of analytical thinking used in careers in data science, finance, engineering, or research. Queen Mary provides modern mathematical sciences facilities, including high-quality teaching rooms, private and group study areas, and computing labs that support hands-on work with analytical software and computational tools.

As students progress, they can explore their interests through a broad choice of modules, building skills in core areas such as calculus, probability, and statistics, as well as computational and applied topics. Later years include optional project-style elements and collaborative opportunities, helping students practice presenting ideas clearly and solving problems as part of a team — essential skills for both industry and postgraduate study.

Key experiential learning features include:

Collaborative problem solving: Tutorials and exercise classes involve group work to explore mathematical concepts and solve problems collaboratively.
Use of computing and analytical tools: Dedicated computing labs and mathematical software support modelling, simulation, and data analysis as part of coursework.
Choice of applied modules: In later years, students can select modules focusing on practical applications of mathematics, such as statistics, optimisation, or mathematical modelling.
Independent study and research preparation: Assignments encourage critical thinking, engagement with literature, and self-directed problem solving.
Library & study environments: Main library and collaborative study spaces provide resources and quiet areas for research, group work, and preparation for advanced assignments.
Mathematics Society and enrichment: The Mathematics Society hosts talks, events, and social activities, offering opportunities to deepen understanding and connect with peers.

Progression & Future Opportunities

Graduates of the BSc (Hons) Mathematics are well prepared for analytical, technical, and professional careers, with around 90 % in employment or further study within six months of graduation. Early‑career salaries typically range from £30,000 – £32,000, reflecting strong employer demand for the numerical, problem‑solving, and logical skills developed on this programme.

Typical job roles include:

Data Analyst / Quantitative Analyst – turning complex numerical data into meaningful insights.
Financial Analyst / Risk Consultant – applying mathematical modelling in finance and business.
Software/Systems Specialist – using algorithmic and analytical thinking in tech environments.
Management Consultant / Project Analyst – solving organisational problems with numerical rigour.

University support for career success:

Dedicated Careers Support: Personalised employability guidance, including CV and application feedback, mock interviews, and networking events tailored for STEM and mathematics careers.
School‑led Professional Development: Career induction lectures, industry insight sessions, and employer events provide real‑world expectations and industry trends.
Industry Connections & Employer Engagement: Graduates have secured roles with major organisations across finance, consulting, technology, auditing, and public sectors, reflecting broad industry demand.
Skill Development: The programme builds strong analytical, logical, and problem‑solving abilities transferable across sectors.
Graduate Outcomes & Salary: Around 90 % of mathematics graduates are in work or further study soon after graduation, with starting earnings in the low £30,000s.
Reputation & Long‑Term Value: A maths degree from a respected London research university enhances credibility with employers and opens doors across competitive job markets.

Further Academic Progression:
After completing the BSc, students may pursue postgraduate study to specialise further. Common pathways include master’s degrees in Data Science, Statistics, Financial Mathematics, Computer Science, or Applied Mathematics. Graduates interested in research or academic careers may progress to MRes or PhD programmes in mathematical sciences or related disciplines, positioning themselves for advanced research, consultancy, or academic leadership roles.