BSc (Hons) Mathematics and Statistics

3 Years On Campus Bachelors Program

University of East Anglia

Program Overview

The BSc (Hons) Mathematics and Statistics at the University of East Anglia (UEA) is a dynamic undergraduate degree that blends deep mathematical theory with practical statistical analysis, giving you the tools to understand and solve complex real‑world problems across data‑driven industries. This course suits students who love mathematical thinking and want a career where they can apply quantitative skills in science, technology, finance, or research.

Curriculum structure

Year 1
In your first year you’ll build a solid foundation in core topics such as calculus, sequences and series, linear algebra, and introductory probability, ensuring you gain confidence in both pure mathematics and basic statistical reasoning. You’ll also explore subjects like multivariable calculus and set theory alongside statistics modules that introduce data analysis concepts — all designed to prepare you for more advanced study.

Year 2
In your second year the focus shifts to deeper exploration of mathematical structures and statistical methods. You’ll study real analysis and group theory in more depth, alongside probability theory and modelling, while applied modules like computation and modelling help you see how mathematical ideas are used in scientific and technological contexts. The combination of these units will enhance your ability to formulate and tackle quantitative problems independently.

Year 3
In the final year you’ll refine your expertise through advanced modules in areas such as financial statistics, mathematical modelling, and optional specialised topics that let you tailor the degree to your interests. Many students undertake a substantial project where you apply your knowledge to a real problem, bringing together your learning from mathematics and statistics to produce work that showcases your analytical strengths.

Focus areas:
Pure and applied mathematics, statistical theory, data analytics, modelling, computational methods, optional modules in related interdisciplinary topics.

Learning outcomes:
Acquire rigorous analytical and problem‑solving skills; master statistical tools and mathematical reasoning; become confident in handling complex data and models; prepare for diverse quantitative roles in industry and research.

Professional alignment (accreditation):
This degree is recognised by the Institute of Mathematics and its Applications (IMA), ensuring its curriculum aligns with professional standards in mathematics and statistics.

Reputation (employability rankings):
UEA is ranked among the UK’s top universities for mathematics, benefitting from strong research performance and a focus on graduate employability, with high rates of students progressing to work or further study shortly after graduation.

Experiential Learning (Research, Projects, Internships etc.)

Choosing the BSc (Hons) Mathematics and Statistics at the University of East Anglia means diving into a degree that doesn’t just teach you theory — it equips you with real, practical skills that employers around the world are looking for. From the very first year, you’ll work with mathematical modelling, data analytics and statistical techniques that reflect real business and research challenges. You’ll learn through a mix of lectures, workshops and computer lab sessions where you apply concepts using digital tools that mirror professional practice — and this goes beyond exams into creative problem solving. In your third year, you’ll undertake a substantial project, synthesising everything you’ve learned into a piece of independent work that showcases your analytical ability and initiative.

Thanks to UEA’s School of Engineering, Mathematics and Physics, you’ll be taught by faculty who are not just teachers but active researchers in pure and applied mathematics and statistics, so the skills you gain are cutting‑edge and research informed.

Here’s a snapshot of what that means for your experience — from hands‑on tools to professional growth:

Practical Experience & Tools You’ll Use:

Structured computer lab sessions supporting your mathematical and statistical learning with real datasets and software in workshops.
Guidance in data analysis techniques and statistical modelling that are directly applicable to careers in analytics, finance, science, and technology.

Projects and Group Work:

A major independent project in your third year where you choose a topic and apply your skills to explore it in depth — ideal for portfolios and research preparation.
Opportunities for collaborative problem solving in tutorials and workshops, preparing you for teamwork in professional environments.

Career Development & Real‑World Readiness:

Strong foundations in mathematical reasoning, statistical analysis, modelling, and communication skills that employers value across sectors.
Alumni enter careers in roles like data scientist, financial analyst, research roles, quantitative modelling and teaching.
Access to UEA’s professional support services to help you prepare for internships, graduate schemes and beyond.

Supportive Academic Environment:

Small‑group workshops and tutorials ensure you get individualised help from expert lecturers and tutors.
Option to transfer between mathematics degrees after your first year — giving you flexibility to shape your path as your interests evolve.

Progression & Future Opportunities

Graduates from UEA’s Mathematics and Statistics program leave with highly sought-after analytical and problem-solving skills, opening doors to careers in finance, data science, and research: typical roles include Data Analyst, Actuary, Statistician, and Quantitative Researcher.

Career Support & Employment Opportunities:

UEA Careers Service: Offers personalized career guidance, CV workshops, interview preparation, internship placements, and networking events with employers.
Employment Stats: Recent UEA graduates report around 90% employed or in further study within six months, with starting salaries averaging £25,000–£35,000, depending on sector and location.
University–Industry Partnerships: Strong collaborations with organizations such as Aviva, Deloitte, KPMG, and the Met Office, providing placement opportunities, project collaborations, and guest lectures.
Accreditation & Long-Term Value: The program is accredited by the Royal Statistical Society (RSS), enhancing professional recognition and supporting future career progression in statistics and analytics.
Graduation Outcomes: Alumni have successfully progressed into roles in finance, insurance, government, academia, tech, and consultancy, demonstrating the versatility and demand for UEA-trained mathematicians and statisticians.

Further Academic Progression:
Graduates can continue their studies through Master’s programs in Data Science, Applied Mathematics, Statistics, or Financial Mathematics at UEA or other top universities. Many also pursue PhDs in Mathematics or Statistics, positioning themselves for advanced research roles or academic careers.