Mathematics and Statistics

About this course

Mathematics and statistics together form one of the most powerful intellectual partnerships in modern science, combining the abstract reasoning of pure mathematics with the tools needed to collect, model and interpret data from the real world. Mathematics develops precision of thought, the ability to construct rigorous proofs, and a command of structures that underlie physics, computing and economics alike. Statistics extends that rigour into the empirical domain: it provides the methods by which patterns in data are separated from noise, predictions are made with measured confidence, and complex systems are understood through observation rather than deduction alone. At the University of York you will study across both disciplines over three years, developing fluency in areas such as analysis, algebra, probability and statistical inference while also working with modern computational to

Where its graduates go

The 5 largest scored destinations, covering 60% of graduates; the headline also reflects the subject baseline.

• 72 / 100Information Technology Professionals · 10% of graduatescards →
• 60 / 100Business, Research and Administrative Professionals · 15% of graduatescards →
• 55 / 100Administrative occupations · 15% of graduatescards →
• 52 / 100Finance Professionals · 15% of graduatescards →
• 48 / 100Business and public service associate professionals · 5% of graduatescards →

The tabs above carry the rest: modules and satisfaction (The Course), where you'd live and what it costs (Student Life), the full pay story (Pay & Outcomes), and easier ways into the same subject (Alternatives).