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BSc Mathematics and Statistics
About this course
Mathematics and statistics is a combination that develops two closely related but distinct capacities: the ability to reason rigorously about abstract structures and relationships, and the ability to extract meaning from data and make principled inferences in the presence of uncertainty. Pure mathematics builds formal thinking, proof and the understanding of mathematical structures for their own sake. Statistics translates those formal tools into methods for understanding the real world, from analysing clinical trials and economic surveys to modelling complex systems and making predictions from incomplete information. Together they form one of the most versatile and intellectually demanding combinations available at undergraduate level. At the University of East Anglia, this three-year full-time BSc develops your skills across both areas. You will study core mathematics including analysis, algebra and calculus alongside statistical theory, probability, regression and data analytics, building the mathematical foundations that statistical reasoning requires and the statistical tools that make mathematics applicable to real problems. The programme covers topics including financial statistics and mathematical modelling, reflecting the breadth of contexts in which these skills are directly applied. Throughout the degree you will develop the quantitative precision and analytical independence that make mathematics and statistics graduates highly competitive across a wide range of careers. Graduates with combined mathematical and statistical training are among the most sought-after in the quantitative job market. Finance, insurance, data science, pharmaceutical research, government statistics, epidemiology, engineering and machine learning all depend on people who can think mathematically and work rigorously with data. Actuarial careers draw particularly heavily on statistics graduates. Many graduates pursue professional qualifications in actuarial science, data science or finance alongside their careers. Postgraduate study in statistics, mathematics, data science, financial mathematics or operational research is a well-established route for those who wish to develop specialist technical expertise.
Syllabus & Modules
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