BSc (Hons) Mathematics with Statistics

3 Years On Campus Bachelors Program

University of Plymouth

Program Overview

The BSc (Hons) Mathematics with Statistics at the University of Plymouth blends core mathematical theory with deep statistical insight, giving students the tools to analyse data, model uncertainty and solve quantitative problems across science, business and technology. It suits students who enjoy both logical reasoning and working with real‑world data, preparing them for careers in data science, finance, analytics and research.

Curriculum Structure

Year 1
In the first year, students build a strong foundation in essential mathematics and introductory statistics. They develop core knowledge in calculus, linear algebra and mathematical reasoning, while also studying probability and introductory statistical methods that begin to link mathematical theory with data analysis and interpretation.

Year 2
During the second year, learners advance into more specialised areas of statistics alongside continued mathematical development. They explore intermediate statistics and data modelling techniques that deepen understanding of real‑world variability, study advanced calculus and differential equations to extend analytical depth, and begin applying statistical computing tools that support data‑driven decision‑making.

Year 3
In the final year, students engage with high‑level statistical and mathematical topics and undertake independent project work that showcases their analytical and problem‑solving abilities. Typical modules include advanced statistical modelling, multivariate data analysis, stochastic processes and optional subjects that allow students to tailor their studies to interests such as time series, Bayesian methods or applied mathematics.

Focus Areas
Mathematical analysis, probability theory, statistical inference and modelling, data analysis, computational statistics and advanced applied mathematics.

Learning Outcomes
Graduates will be confident in both mathematical reasoning and statistical methodology, proficient in using statistical software and programming tools to analyse complex data, and prepared to interpret and communicate quantitative insights in professional contexts.

Professional Alignment (Accreditation)
The programme equips students with competencies valued by employers in data science, finance, research and technology, and supports progression toward further professional study or roles where strong quantitative and statistical skills are essential.

Reputation (Employability & Rankings)
The University of Plymouth is recognised for supportive teaching and positive graduate outcomes, with mathematics and statistics graduates progressing into analytical, technical and research roles across a range of industries, backed by high levels of student satisfaction and engagement.

Experiential Learning (Research, Projects, Internships etc.)

The BSc (Hons) Mathematics with Statistics at the University of Plymouth combines core mathematical theory with advanced statistical modelling and data analysis. Students explore topics such as calculus, algebra, probability and statistical estimation, gaining the ability to interpret complex data and apply quantitative methods to real‑world problems including finance, health sciences and environmental modelling. This degree draws on the expertise of research‑active staff and offers a close‑knit academic community and personalised teaching.

Experiential Learning in Mathematics with Statistics at Plymouth

From the first year onward, students engage with practical, real‑world quantitative work using industry‑relevant software and hands‑on projects. The programme emphasises learning by doing, helping learners connect mathematical theory with data‑driven applications and professional skills:

Key experiential learning opportunities include:

Practical programming and statistical tools: Students learn and use languages like Python, R and other statistical computing environments to perform data analysis, simulations and modelling tasks that reflect professional practice.
Data‑centred modules with real datasets: Across core modules, students apply statistical modelling and data interpretation to case studies and projects that reinforce analytical thinking and problem solving.
Industry‑relevant case studies: Teaching incorporates real challenges from organisations and sectors such as healthcare, finance and engineering, developing context‑sensitive analytical skills and decision‑making.
Optional professional placement year: Students can take a paid placement year, applying their mathematical and statistical knowledge in workplaces such as data analytics roles, research settings or technology companies — boosting confidence and employability.
Final year project work: In the final year, students have opportunities to pursue substantial independent or supervised statistical or mathematical projects, producing a portfolio of work that showcases their analytical expertise and creativity.
Collaborative learning environment: Regular tutorials, small‑group discussions, peer‑assisted learning sessions and a supportive Maths Society help students build understanding together and develop communication and teamwork skills.

The programme also gives students access to broader academic support resources such as structured drop‑in maths and statistics help areas, modern computing facilities and collaborative study spaces designed to foster exploration and inquiry.

Facilities and learning environment

Students study in the Babbage Building, a modern facility that supports teaching in mathematics, statistics, computing and science. Here, dedicated computer labs, collaborative study spaces, visualisation tools and close access to academic staff create an environment where theoretical learning and practical application go hand in hand.

Why This Programme Stands Out

The Mathematics with Statistics degree at Plymouth stands out for its strong emphasis on data fluency, programming skills and real‑world analytical experience. Graduates leave with the ability to interpret and model complex data, communicate quantitative insights clearly, and apply their skills in sectors such as data science, healthcare analytics, finance, research and technology. The combination of hands‑on projects, optional professional experience and personalised academic support ensures students are well prepared for both rewarding careers and further study.

Progression & Future Opportunities

Graduates of the BSc (Hons) Mathematics with Statistics at the University of Plymouth typically progress into analytical and technical roles such as Data Analyst, Statistician, Quantitative Analyst, and Risk Analyst, where strong problem-solving, statistical modelling, and mathematical reasoning are essential. The programme emphasises the application of mathematics to statistical analysis, equipping graduates with advanced analytical, computational, and data-handling skills that support competitive career prospects and long‑term professional growth.

Graduate Outcomes

Career support services: Students benefit from the University’s Careers and Employability Service, which provides personalised career guidance, CV and interview preparation support, employer networking events, internship opportunities, and mentoring that help bridge academic skills with professional aspirations.
Employment statistics and salary figures: Graduates typically demonstrate strong employability, with around 90% in employment or further study within six months of graduation, and starting salaries ranging from £25,000 to £35,000, with potential for growth as skills and experience develop.
Industry experience and partnerships: The programme fosters engagement with real-world problem solving through project work, employer-linked workshops, and networking opportunities supported by the School and Careers Service, helping students gain insight into industry expectations.
Accreditation and long‑term value: Accredited by the Institute of Mathematics and its Applications (IMA), the programme develops transferable skills in statistical analysis, computational modelling, and quantitative reasoning that are highly valued across finance, technology, and scientific sectors.
Graduation outcomes: Graduates are prepared for roles in data analysis, statistics, quantitative finance, risk management, and research, supported by strong statistical and mathematical competence valued in professional environments.

Further Academic Progression
After completing the BSc (Hons) Mathematics with Statistics, students may pursue postgraduate study such as Master’s programmes in Statistics, Data Science, Financial Mathematics, or Operational Research to deepen expertise and specialise further. Many also consider research-focused degrees (MSc by Research, MRes, or PhD) or professional qualifications that support advanced analytical, statistical, or specialist career pathways.