Mathematics with Statistics with Year in Industry BSc

4 Years On Campus Bachelors Program

Kings College London

Program Overview

The BSc Mathematics with Statistics with a Year in Industry at King’s College London combines rigorous mathematical training with advanced statistical theory and data-driven problem-solving. It’s ideal for students who want strong analytical foundations and specialist statistical skills suited to careers in data science, finance, government, research, and quantitative analysis.

Curriculum Structure

Year 1

Students begin by building essential mathematical and statistical foundations. Core modules such as Calculus I, Linear Algebra, Introduction to Probability & Statistics, and Mathematical Methods develop the fundamental tools needed for higher-level study, while also introducing key ideas in statistical inference and modelling.

Year 2

The second year deepens knowledge in both pure mathematics and statistics, with modules such as Probability & Statistics II, Real Analysis, Applied Statistics, or Stochastic Processes. Students also begin shaping their degree through optional mathematical pathways, preparing them for advanced quantitative work and the upcoming placement year.

Year in Industry (Placement Year)

Students spend a full year working in a professional environment—commonly in data analysis, actuarial work, finance, research, tech, or government analytics. This year provides hands-on experience applying statistical methods to real-world datasets, strengthening employability and practical capability.

Year 3

In the final year, students specialise through advanced modules such as Statistical Modelling, Bayesian Statistics, Time Series Analysis, Multivariate Statistics, or Machine Learning (dependent on annual availability). They also have the opportunity to take higher-level mathematics options, integrating theory with applied statistical techniques for complex data-driven problems.

Focus Areas:

Mathematics, statistics, probability, data analysis, statistical modelling, stochastic processes, quantitative methods.

Learning Outcomes:

Graduates will be able to apply advanced mathematical and statistical techniques, analyse complex datasets, build and critique statistical models, and use quantitative reasoning to inform decisions in research, industry, and finance.

Professional Alignment (Accreditation):

The programme offers rigorous training valued by employers in data science, finance, actuarial work, analytics, government, and research; selected modules provide grounding that supports future professional qualifications.

Reputation (Employability Rankings):

King’s College London is a globally recognised Russell Group university, with mathematics graduates enjoying strong employability outcomes in data-driven and analytical careers.

Experiential Learning (Research, Projects, Internships etc.)

A BSc Mathematics with Statistics (with a Year in Industry) gives students a powerful blend of theoretical mathematics and applied statistical modelling, all supported by practical, hands-on learning. Throughout the degree, students work directly with real datasets, analytical tools, and project-based assignments that mirror the challenges faced in data-driven industries. The optional placement year provides the chance to apply these skills professionally, gaining workplace experience in sectors such as finance, technology, consulting, healthcare analytics, and research. This combination of academic depth and applied experience helps students build confidence, technical fluency, and a strong professional foundation.

Your experiential learning journey typically includes:

Specialist mathematical and statistical software such as Python, R, MATLAB, and SQL for modelling, data analysis, and simulation work.
Hands-on project work, including group assignments that involve statistical modelling, probability simulations, data interpretation, and real-world analytical case studies.
Applied statistics modules using real datasets from fields such as economics, epidemiology, finance, social sciences, and operational research.
Optional placement year, supported by employer partnerships and career services, allowing students to gain professional experience in data analytics, quantitative research, actuarial science, or applied statistics roles.
Workshops and skills sessions focused on programming, mathematical reasoning, statistical inference, and data visualisation.
Seminars and guest lectures from practitioners working in analytics, forecasting, financial modelling, or research environments.
Independent research or final-year project, applying mathematical and statistical techniques to investigate a question, dataset, or modelling problem in depth.
Access to digital learning resources, including online journals, e-books, datasets, and problem-solving platforms that support advanced mathematical study.

Progression & Future Opportunities

Graduates of the BSc Mathematics with Statistics with a Year in Industry at King’s College London are well-equipped for analytical and data-driven careers: typical roles include Data Analyst, Statistical Consultant, Risk Analyst, and Research Analyst. These positions draw on strong mathematical foundations combined with practical statistical and modelling skills:

University services supporting employment: King’s Careers & Employability Service provides personalised career coaching, interview workshops, and employer networking events. Students receive tailored guidance when applying for their Year in Industry, helping them secure meaningful placements.
Employment support structures: Access to King’s Maths School resources, academic support, and industry-linked activities helps students develop professional skills needed for roles in statistics, data, and research.
University–industry engagement: King’s maintains active links with sectors such as finance, technology, health analytics, and public policy, giving students opportunities to engage with employers through events, talks, and placement-related activities.
Long-term qualification value: A King’s College London degree is internationally recognised, offering strong credibility for careers requiring advanced analytical and quantitative expertise.
Graduation outcomes: Graduates commonly progress into data-centric roles across business, government, healthcare, finance, and research organisations, often leveraging their placement year for competitive graduate opportunities.

Further Academic Progression:
Graduates may continue into Master’s programmes in Statistics, Data Science, Applied Mathematics, or Analytics, at King’s or other leading universities. Those interested in research pathways may pursue PhD studies in Statistics or Mathematical Sciences. Professional development through qualifications in data analytics, actuarial science, or statistical modelling can further support advancement into senior technical or specialist roles.