BSc in Mathematics

3 Years On Campus Bachelors Program

Durham University

Program Overview

The BSc in Mathematics at Durham University offers a rigorous and flexible programme covering both pure and applied mathematics. It’s ideal for students who enjoy abstract thinking and problem-solving and want strong preparation for careers in finance, data science, technology, education, or further study.


Curriculum structure

Year 1 – Core mathematical foundations
In your first year, you’ll study essential modules such as Calculus, Linear Algebra, and Foundations of Mathematics, developing logical reasoning and core problem-solving skills. This year establishes the mathematical language and techniques needed for advanced study.

Year 2 – Developing depth and choice
The second year introduces deeper theoretical content through modules like Real Analysis, Probability, and Abstract Algebra. You’ll also begin selecting optional modules, allowing you to tailor the degree to your interests and career goals.

Year 3 – Advanced topics and specialisation
In your final year, you’ll choose from advanced modules such as Complex Analysis, Differential Equations, and Numerical Analysis. Many students also complete a final-year project, developing independent research skills and applying mathematical theory to complex problems.


Focus areas:
Pure mathematics, applied mathematics, mathematical analysis, algebra, probability, numerical methods

Learning outcomes:
Strong analytical and abstract reasoning skills, advanced problem-solving ability, preparation for quantitative careers or postgraduate study

Professional alignment (accreditation):
Accredited by the Institute of Mathematics and its Applications (IMA), supporting professional mathematical recognition.

Reputation (employability & rankings):
Durham University is consistently ranked highly in the QS World University Rankings and Complete University Guide for Mathematics, and is recognised for excellent academic reputation and graduate employability.

Experiential Learning (Research, Projects, Internships etc.)

At Durham University, the BSc in Mathematics degree is designed to help you build strong problem-solving and analytical skills through hands-on learning and research-led teaching. From your first year, you’ll work with mathematical models, proofs, and computational tools, applying theory to structured problems and real-world contexts. The programme balances rigorous theory with practical application, supported by excellent academic facilities and a collaborative learning environment:

  • Dedicated computing facilities within the Department of Mathematical Sciences, used for programming, modelling, and applied mathematics coursework

  • Regular use of MATLAB, Python, and mathematical software, integrated into modules covering pure mathematics, applied mathematics, and computational methods

  • Small-group tutorials and problem-solving classes, encouraging discussion, collaboration, and deeper understanding

  • Research-led teaching, delivered by academics active in areas such as algebra, analysis, geometry, applied mathematics, and mathematical physics

  • Opportunities for individual projects in later years, allowing you to explore a mathematical topic in depth and develop independent research skills

  • Teaching and study spaces across Durham’s mathematics facilities, including lecture theatres, seminar rooms, and quiet study areas

  • Full access to the Durham University Library, offering extensive mathematics textbooks, research journals, and online databases

  • Embedded academic and employability support, helping prepare you for careers in finance, technology, data analysis, education, or further study

This programme is ideal if you want a rigorous and flexible mathematics degree that combines theoretical depth with practical skills and keeps a wide range of career options open.

Progression & Future Opportunities

Graduates from the BSc Mathematics and Statistics programme are highly valued for their strong analytical and data-driven skill set, leading to careers in data science, actuarial work, finance, and statistical analysis roles:

  • University Services for Employment: Durham’s Careers & Enterprise Centre provides personalised career coaching, CV and interview support, employer presentations, and access to internships and graduate schemes tailored to quantitative disciplines.

  • Employment Stats and Salary Figures: Around 90% of Durham graduates progress into employment or further study within six months, with mathematics and statistics graduates achieving average starting salaries of approximately £28,000–£42,000.

  • University–Industry Partnerships: Durham maintains strong links with major employers including financial services firms, consulting companies, and data-led organisations through employer talks, networking events, and insight programmes.

  • Long-Term Accreditation Value: The degree is accredited by the Institute of Mathematics and its Applications (IMA), supporting long-term professional recognition and progression towards Chartered Mathematician status.

  • Graduation Outcomes: Graduates commonly enter roles such as data analyst, actuary, statistician, quantitative analyst, or progress into research and teaching careers.

Further Academic Progression:
After graduation, students can progress to MSc or PhD programmes in Mathematics, Statistics, Data Science, Financial Mathematics, or related quantitative fields, either at Durham or other leading research universities, preparing for advanced research or specialist professional roles.

Program Key Stats

£31,500 (Annual cost)
£9,790
£ 29
Sept Intake : 14th Jan


No
Yes

Eligibility Criteria

A*A*A
3.7
38
89

1390
30
6.5
80
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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