Mathematics with Statistics
Mathematics with statistics is a degree that combines the rigorous logical structure of pure and applied mathematics with the tools needed to model uncertainty, analyse data and draw reliable conclusions from evidence. Statistics is one of the most practically consequential branches of mathematics, underpinning clinical trials, financial risk assessment, quality control, public health monitoring, machine learning and the empirical methods used across virtually every scientific discipline. Studying both together gives you a degree of depth and flexibility that neither subject alone provides.
At Portsmouth this three-year full-time programme includes both a sandwich year and a year abroad, making it a rich and extended educational experience. You will cover calculus, linear algebra, differential equations, probability theory, statistical modelling, regression, hypothesis testing, time series analysis and computational methods, developing mathematical fluency alongside the applied skills to work with real data. The sandwich year provides an extended professional placement, allowing you to apply your quantitative abilities in an industry or research context before returning for your final year.
The year abroad adds an international dimension and a further period of immersive learning. Work placement experience is embedded throughout the programme. A typical entry tariff of 120 points reflects the course's accessible but mathematically serious character.
Graduates with strong statistical and mathematical training are in consistently high demand. Common career destinations include actuarial work, data science and analytics, financial modelling, software development, public sector analysis, research and academic work. The placement year frequently leads to a graduate job offer, and employers across finance, healthcare, government, technology and consultancy actively seek graduates who can work confidently with quantitative methods.
For those interested in continuing their studies, postgraduate degrees in statistics, data science, operational research, actuarial science or applied mathematics offer clear pathways.