BSc (Hons) Mathematics and Statistics

3 Years On Campus Bachelors Program

University of York

Program Overview

The University of York’s BSc (Hons) Mathematics and Statistics degree blends rigorous mathematical training with in‑depth statistical analysis to equip students with the ability to spot patterns in data and make sound predictions in diverse real‑world settings. This three‑year course is ideal for students passionate about quantitative reasoning and who want to apply mathematical insight to fields such as data science, finance, economics, technology, and scientific research.

Curriculum Structure

Year 1
In the first year, students build a firm foundation in both core mathematics and statistics with essential modules such as Foundations and Calculus to master limits and derivatives, Introduction to Probability and Statistics to begin analysing randomness and data, and Introduction to Pure Mathematics to understand the structure of mathematical argument. They also study Multivariable Calculus and Matrices to extend calculus to higher dimensions and Introduction to Applied Mathematics to see how mathematical tools solve practical problems, while Mathematical Programming and Skills prepares them for computational challenges ahead.

Year 2
In the second year, the focus sharpens on probability and statistical techniques supported by strong mathematical foundations, with core modules like Probability and Markov Chains that model random processes and Statistical Inference and Linear Models to analyse and interpret data. Students also deepen their grasp of advanced calculus through Vector and Complex Calculus and Linear Algebra. In addition, they choose option modules that let them follow interests in pure or applied mathematics, such as Metric Spaces or Classical Dynamics, providing broad analytical versatility.

Year 3
The final year centres on an Extended Independent Project in mathematics or statistics that encourages deep exploration of a topic and development of research skills, supported by a selection of advanced option modules. Students can personalise their studies with statistics and finance topics like Decision Theory and Bayesian Statistics, Time Series, or Mathematical Finance alongside cross‑stream choices such as Numerical Analysis or Operations Research. Elective modules further allow students to broaden their academic experience beyond core mathematics and statistics.

Focus Areas
Probability theory, statistical inference, data analysis, mathematical modelling, applied mathematics, advanced calculus, and interdisciplinary quantitative skills.

Learning Outcomes
Graduates will be able to apply mathematical and statistical methods to analyse complex data sets, construct and justify solutions to unfamiliar problems, use statistical software effectively, communicate complex quantitative ideas clearly, and conduct independent research or project work with confidence.

Professional Alignment (Accreditation)
The programme is accredited by the Institute of Mathematics and its Applications (IMA), meeting recognised standards in the mathematical sciences and forming part of the educational requirements toward Chartered Mathematician status.

Reputation (Employability Rankings)
The Department of Mathematics at York is ranked among the UK’s top research departments and is known for outstanding research quality and a Gold rating for teaching excellence, providing students with a highly supportive academic environment and strong analytical skills that are in demand across industries such as data science, finance, technology, and research.

Experiential Learning (Research, Projects, Internships etc.)

Students on the BSc (Hons) Mathematics and Statistics programme at the University of York gain deep practical experience with a strong balance between theoretical understanding and applied skills. From the first year, learners work with real data and mathematical problems that reflect the kinds of challenges found in industry, research, and public policy contexts such as health science and economics — helping them become fluent in spotting patterns, making predictions, and communicating results. The Department of Mathematics provides dedicated study spaces equipped for both individual and group work, where students can collaborate on projects, use blackboards and computing facilities for hands‑on exploration, and participate in events run by the student‑led Maths Society that enhance teamwork and problem‑solving skills. York also offers access to the Maths Skills Centre, which hosts workshops and one‑to‑one appointments to strengthen competence in statistics software like RStudio, SPSS and STATA, plus support in numerical reasoning and analytical methods. In later years, the individual project allows students to undertake extended independent research on a topic of their own choice, synthesising their skills in mathematical modelling, statistical analysis, and digital tools:

• Collaborative study spaces and dedicated departmental facilities for group problem solving, presentations and interactive analysis.
• Maths Skills Centre workshops and one‑to‑one sessions introducing and supporting use of statistical software including RStudio, SPSS and STATA.
• Project‑based learning embedded in core and optional modules focused on probability, statistical inference and applied mathematics.
• Individual extended independent project in the final year for self‑directed research and practice presenting results.
• Student‑led Maths Society events that enrich learning through collaborative problem solving and peer mentoring.
• Supportive tutorials and seminars designed to build skills in mathematical reasoning and communication.

Facilities and Support
Learners benefit from York’s green campus and modern study environments across Campus West and Campus East, with dedicated departmental space for mathematics and statistics study. The Maths Skills Centre complements academic teaching by offering workshops and personalised support to develop confidence with quantitative and analytical software. Students also have access to the central university library’s extensive print and digital resources for research, independent study and project work.

Career‑Focused Outcomes
Graduates leave with strong analytical thinking, statistical literacy and mathematical modelling skills that are highly valued across sectors. Career destinations range from data science, actuarial analysis and software development to finance, teaching, research and consulting. The degree’s design emphasises communication of complex ideas and practical problem solving — competencies that help graduates stand out with employers and in postgraduate study. The department also hosts a maths‑specific careers fair and provides opportunities to connect with employers seeking analytical talent.

Accreditation
This programme is accredited by the Institute of Mathematics and its Applications (IMA), meaning successful completion meets part of the educational requirement for chartered status in mathematics.

Progression & Future Opportunities

Graduates of the BSc (Hons) Mathematics and Statistics at the University of York typically enter roles such as Data Scientist, Actuarial Analyst, Software Developer, and Quantitative Consultant, applying strong analytical and statistical reasoning to solve real‑world problems. The degree builds highly transferable skills that support career progression across sectors including finance, technology, education and research: many mathematics and statistics graduates earn around £30,000 within 15 months after graduating, with earnings often increasing to £36,000+ within five years as expertise grows.

Graduate Outcomes
Career support services: Students have access to the University’s Careers and Placements Service, which provides guidance on CVs, internships, interview skills and job applications, as well as a dedicated careers platform to connect with employers and explore opportunities.
Employment statistics and salary figures: Around 82% of mathematical sciences students are in work or further study 15 months after graduating, with median earnings of approximately £30,000 within that period and potential for significant growth in subsequent years.
Industry placements and partnerships: The degree offers an optional placement year, allowing students to gain professional experience and strengthen their CVs, supported by the University’s connections with industry and annual maths‑specific careers fairs that bring employers to campus.
Accreditation and long‑term value: The programme is professionally accredited by the Institute of Mathematics and its Applications (IMA), fulfilling part of the educational requirements for Chartered Mathematician status and boosting long‑term credibility with employers and professional bodies.
Graduation outcomes: Graduates are prepared for analytical and data‑driven roles where logical problem solving, statistical insight and computational skills are essential, including careers in technology, finance, education, research and industry.

Further Academic Progression
After completing the BSc (Hons) Mathematics and Statistics, students may pursue postgraduate study such as Master’s programmes in Statistics, Data Science, Financial Mathematics, Actuarial Science or Machine Learning to specialise further and deepen expertise. Many also consider research‑oriented degrees (MSc by research, MRes or PhD) or professional qualifications that enhance career advancement in specialised quantitative fields.