Mathematics with Computing
Mathematics and computing is a degree that unites two disciplines at the heart of modern technology and scientific understanding. Mathematics provides the theoretical framework and essential tools for approaching complex problems: logic, proof, algebra, calculus, and the statistical and probabilistic methods that underpin data science, cryptography, and machine learning. Computing offers the practical expertise to put mathematical ideas into action, covering algorithms, data structures, programming, software engineering, and systems design.
Together, they drive innovation across science, industry, and technology, and graduates who are fluent in both are among the most sought-after in the labour market.
At Queen Mary University of London, this four-year programme gives you a thorough grounding in both disciplines. You will develop strong mathematical foundations while building programming competence and an understanding of computational systems. The programme allows you to engage with both pure and applied aspects of mathematics alongside core computer science topics, and the four-year structure provides the time to develop genuine depth in both areas.
QMUL's location in London and its connections to technology and financial sectors give the degree a strong applied context, and you will study in a research-active environment where the frontiers of both fields are being explored.
The combination of rigorous mathematical reasoning and practical computational skill is particularly powerful for tackling the kinds of large-scale, data-rich problems that define contemporary science, finance, and technology.
Graduates from mathematics with computing degrees are sought after across a very wide range of sectors. Common career destinations include software engineering, data science, financial technology, actuarial work, machine learning engineering, cybersecurity, and research in industry or academia. The analytical and problem-solving skills developed across the degree also translate well into consultancy, technology management, and quantitative finance.
Postgraduate study in computer science, mathematics, machine learning, or a closely related field is a natural route for those who wish to develop deeper expertise.