Computer Science and Mathematics

Computer science and mathematics is a combination that reflects the deep and productive relationship between the two disciplines. Mathematics provides the formal foundation of computing, and the two are inseparable at the level of algorithm design, complexity theory, cryptography, machine learning, and the mathematical structures that underpin programming languages and software engineering. Studying them together means you develop a more rigorous understanding of computing than you would from either discipline alone, and the mathematical training gives you a significant analytical advantage in the most demanding areas of the field.

At Nottingham Trent University, this four-year full-time programme begins with a foundation year, designed to build the mathematical and computing foundations needed before the degree proper. The foundation year ensures that students from a range of prior educational backgrounds can develop the knowledge and skills needed for degree-level work in both disciplines, making the programme accessible without compromising on the rigour expected in the main degree. You will then study core topics in computer science, including algorithms, data structures, software engineering, databases, and artificial intelligence, alongside pure and applied mathematics, covering areas such as calculus, linear algebra, discrete mathematics, and statistics.

The typical entry tariff of 104 points reflects the foundation route's inclusive approach.

Graduates of computer science and mathematics programmes are in strong demand across the technology sector and beyond. The combination of programming ability and mathematical rigour makes graduates particularly well suited to roles in software development, data science, machine learning, cryptography, systems engineering, and quantitative analysis. Many find their mathematical training gives them an edge in technically demanding roles that pure computer science graduates find less accessible.

Postgraduate study in computer science, mathematics, data science, artificial intelligence, or related fields is available for those who want to develop deeper specialist expertise or pursue research careers.