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BSc Mathematics and Statistics
About this course
Mathematics and statistics is a combination that gives you both the breadth and beauty of pure and applied mathematics and the particular power of statistical reasoning, which is the foundation of data science, scientific inference, and evidence-based decision-making. Mathematics develops precision of thought and the ability to work with abstract structures, while statistics provides the tools to extract reliable conclusions from data in the face of uncertainty, a skill that is increasingly central to almost every field of human activity. At Liverpool this three-year full-time degree develops your competence across both disciplines, covering analysis, algebra, calculus, probability, statistical theory, and statistical computing alongside applied mathematics. A year abroad is available within the programme, allowing you to study mathematics and statistics in a different institutional environment, which broadens your academic perspective and develops the independence that employers in quantitative fields value. The typical entry tariff of 152 points reflects the academic level of the programme and Liverpool's strong mathematical tradition. Graduates of mathematics and statistics degrees are among the most employable in the UK. The demand for people who can handle data rigorously, build models, and draw valid conclusions from evidence is strong across finance, insurance, banking, consulting, healthcare, technology, and the public sector. Actuarial science is a particularly well-established career path for mathematics and statistics graduates. Data science and machine learning roles are a growing destination, as are positions in statistical analysis for clinical trials, market research, and policy evaluation. The year abroad strengthens the profile further. Postgraduate study in statistics, data science, probability, or applied mathematics is a natural route for those who want to develop expertise or pursue research.
Syllabus & Modules
Typical curriculumStudent Satisfaction
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