Mathematics

Mathematics is one of the oldest and most powerful intellectual disciplines, concerned with the abstract structures of number, space, pattern and logic that underlie all quantitative reasoning and that have proved extraordinarily effective as tools for understanding the physical and social worlds. Pure mathematics investigates these structures for their intrinsic interest, seeking proof and understanding rather than immediate application. Applied mathematics turns them toward real-world questions in physics, engineering, biology, economics and computation.

Both strands require rigorous thinking, the ability to work with abstraction and the satisfaction of following an argument to a definitive conclusion.

At the University of Lincoln, this three-year research-informed programme aims to provide a fundamental education in mathematics across both pure and applied strands, as the university's own description notes, and offers students the opportunity to work alongside academic staff on challenging projects that may contribute to research or industry collaboration. The degree includes a sandwich year and work placement opportunities, giving you structured professional experience alongside your mathematical education. Lincoln's environment allows for close working relationships between students and staff in a relatively small and cohesive mathematics community.

You will study real analysis, linear algebra, differential equations, probability and statistics, discrete mathematics and numerical methods, developing both the theoretical foundations and the computational skills that mathematical careers require. The sandwich year gives you direct experience of applying mathematical knowledge in a professional or research context.

Graduates go on to careers in data science, financial services, engineering, actuarial work (with further professional study), technology, government analytical services, research computing and education. Mathematics is consistently among the degrees with the highest graduate employment rates and average starting salaries, reflecting the genuine scarcity and value of strong mathematical ability. Further study in mathematics, statistics, data science or related fields is also a well-established route.