BSc (Hons) Mathematics and Statistics with a Placement Year

4 Years On Campus Bachelors Program

University of East Anglia

Program Overview

The BSc (Hons) Mathematics and Statistics with a Placement Year at the University of East Anglia (UEA) offers all the strengths of the standard Mathematics and Statistics degree, with the powerful addition of a full‑time placement year built into the programme so you can apply your skills in a real workplace while you study. It’s perfect for students who want to develop strong quantitative and analytical abilities and gain valuable professional experience before graduation.

Curriculum structure

Year 1
Your first year builds the essential foundations in mathematics and statistics, with core topics like calculus, linear algebra, probability, and introductory data analysis that give you confidence with both abstract concepts and practical techniques. These modules ensure you’re well‑prepared for the more specialised and challenging parts of the degree in later years.

Year 2
In the second year you’ll deepen your understanding of both mathematical structures and statistical methods, exploring topics such as real analysis, further probability and modelling, and applied mathematics. You’ll also have the opportunity to choose optional modules that reflect your interests — whether that’s further data science, mathematical modelling, or advanced statistical techniques — helping you tailor your degree.

Placement Year
In your third year you’ll step out of the classroom and into a full‑time placement lasting around 9–14 months, gaining real professional experience with an employer in industry, finance, technology, research and more. This placement lets you apply the mathematical and statistical skills you’ve learned in a real setting and build industry connections that give you a competitive edge when you graduate.

Final Year
After your placement, you’ll return for your final year to take advanced modules aligned with your interests, such as financial statistics, mathematical modelling, or other specialist topics, and you may undertake a substantial project that brings together your mathematical and statistical knowledge. This final year refines your expertise and positions you for either graduate roles or further study.

Focus areas:
Pure and applied mathematics, statistical theory and modelling, data analytics, mathematical applications, and industry‑relevant quantitative skills.

Learning outcomes:
Develop strong analytical thinking and problem‑solving skills; master statistical methods and mathematical reasoning; gain practical experience through your professional placement; and become ready for a wide range of quantitative careers or postgraduate study.

Professional alignment (accreditation):
This degree is recognised within the UEA mathematics portfolio that meets professional standards valued by employers in mathematics, statistics and related analytical fields.

Reputation (employability rankings):
UEA is known in the UK for high‑quality mathematical sciences teaching and strong research impact, helping graduates move into roles across science, technology, finance and analytics with strong support for employability outcomes.

Experiential Learning (Research, Projects, Internships etc.)

Choosing BSc (Hons) Mathematics and Statistics with a Placement Year at the University of East Anglia gives you everything from rigorous mathematical training to real‑world work experience before graduation. This 4‑year programme blends your core studies in pure and applied mathematics, statistics and data analytics with a dedicated placement year in industry, where you’ll get the chance to apply your knowledge in professional environments — building your confidence, skills and employer network before you even graduate. The placement year typically lasts 9 to 14 months and lets you work full‑time with an external employer, turning theory into practice in sectors like finance, tech, research and more.

You’ll learn from academic staff who are active researchers in mathematics and statistics, so your learning reflects current methods and challenges, and you’ll benefit from small‑group tutorials and supportive teaching as you progress.

Here’s what that experience looks like in detail:

Practical Skills & Professional Tools:

  • Hands‑on mathematics and statistics workshops and computer lab sessions where you apply concepts to real problems using current analytical techniques.

  • Guidance in data analysis, modelling and statistical computation that prepares you for analytical roles across industries.

Placement Year Experience:

  • A full‑time professional placement in your third year, spanning 9 to 14 months, where you gain real industry experience and apply your academic learning to practical challenges.

  • Opportunity to build professional networks and industry contacts, boosting employability ahead of graduation.

Projects, Collaboration & Independent Learning:

  • Engage in project‑based work and optional modules that let you specialise interests within mathematics, statistics or data science.

  • Collaborative tutorials and group problem‑solving activities that mirror the teamwork demanded by employers.

Career Readiness & Outcomes:

  • A degree designed to make you work‑ready in careers such as data analysis, actuarial science, quantitative modelling, research roles, and more.

  • Support from UEA’s professional services to help you prepare for internships, job applications and graduate opportunities throughout your placement and final year.

This combination of strong academic foundations plus formal, assessed workplace experience makes this programme a compelling choice if you’re serious about launching a career where mathematical and statistical expertise is front‑and‑centre.

Progression & Future Opportunities

Graduates from this program gain not only strong analytical and statistical skills but also practical work experience, giving them a significant edge in the job market: typical roles include Data Analyst, Actuary, Statistician, and Quantitative Researcher.

Career Support & Employment Opportunities:

  • UEA Careers Service: Provides tailored support for placement preparation, including CV reviews, interview coaching, and employer networking events.

  • Placement Advantage: Students undertake a 12-month industry placement, enhancing employability and professional experience. Placement hosts have included Aviva, Barclays, the Met Office, and local tech and finance companies.

  • Employment Stats & Salaries: Graduates with placement experience report higher employment rates and starting salaries, often in the range of £28,000–£38,000, depending on sector.

  • Accreditation & Long-Term Value: Accredited by the Royal Statistical Society (RSS), ensuring professional recognition for careers in statistics and analytics.

  • Graduation Outcomes: Alumni progress into finance, insurance, tech, government, consultancy, and research roles, often securing positions with their placement employers.

Further Academic Progression:
Graduates can pursue Master’s degrees in Data Science, Applied Mathematics, Financial Mathematics, or Statistics, or continue to PhD research in Mathematics or Statistics, leveraging their placement experience to strengthen applications for advanced study or research careers.

Program Key Stats

£23,100 (Annual cost)
£9,535
£ 29
Sept Intake : 14th Jan


79 %
No
Yes

Eligibility Criteria

AAB
3.5
33
70

1280
27
6.0
79
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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