Mathematics and Computer Science with a Year in Industry

Mathematics and computer science is a combination that reflects the deep connection between the two disciplines: computer science is built on mathematical foundations, and many of the most significant challenges in computing require mathematical insight to solve. Mathematics provides the rigorous logical structures within which ideas about algorithms, complexity, data, probability, and computation are developed. Computer science applies and extends those structures to build software systems, design networks, and address the computational problems that arise in science, business, and everyday life.

Studied together, they give you both the theoretical depth of pure mathematical thinking and the practical capability to build and work with real computational systems.

At the University of Liverpool, this programme is offered as Mathematics and Computer Science with a Year in Industry, extending the degree to four years of full-time study. The year in industry provides extended professional experience in a computing or technology organisation, giving you the opportunity to apply your skills in a real setting, develop professional judgment, and build the networks that support strong career outcomes. You will study core mathematics, including analysis, algebra, probability, and statistics, alongside computer science content in programming, algorithms, data structures, software engineering, computer systems, and specialist topics such as artificial intelligence or machine learning.

Liverpool's mathematics and computer science departments are both research-active, and the programme benefits from a strong academic environment.

Graduates from Mathematics and Computer Science with a Year in Industry go on to careers in software engineering, data science, quantitative analysis, systems architecture, financial technology, machine learning, and research across many sectors of the economy. The combination of mathematical rigour and software development skills is particularly valued in roles that require both analytical depth and the ability to implement solutions in code. Some graduates continue to postgraduate study in computer science, mathematics, or data science, while others move directly into industry positions where the year in industry has already demonstrated their professional capability.