BSc Computer Science and Mathematics
About this course
Computer science and mathematics is a pairing built on deep intellectual kinship. Mathematics provides the formal foundations on which computer science rests: logic, algebra, combinatorics, probability, and analysis are not merely useful tools for computing but its very language. Studying both together allows you to develop rigorous mathematical thinking alongside the computational methods and programming skills of computer science, and to see clearly how the two disciplines reinforce each other. Students who combine them graduate with the ability to approach complex problems both formally and algorithmically, a combination that is exceptionally valuable in a world where data, artificial intelligence, and computational systems are central to every field. At Nottingham Trent University, this three-year full-time programme gives you a grounding in both disciplines that is genuinely balanced. In computer science you will cover programming, algorithms and data structures, software engineering, computer architecture, databases, networks, and areas such as artificial intelligence and machine learning. In mathematics you will study analysis, algebra, discrete mathematics, probability and statistics, and numerical methods, developing the capacity for rigorous proof alongside computational application. The two strands interact throughout, and your mathematical training will deepen your understanding of the computer science and vice versa. Graduates of computer science and mathematics are among the most versatile in the technology and analytical sectors. Software development, data science, machine learning engineering, quantitative finance, actuarial work, cryptography, and academic research are all plausible directions. The combination is particularly valued in organisations that need both programming competence and strong mathematical modelling ability, including technology companies, financial institutions, defence contractors, and scientific research organisations. Many graduates also pursue postgraduate study in computer science, mathematics, or interdisciplinary programmes in data science, artificial intelligence, or operational research.
Syllabus & Modules
Typical curriculumStudent Satisfaction
National Student Survey - 55 respondents (67% response rate)
Similarly Ranked Alternatives
What comes next? 🎓
Choosing the right university starts with choosing the right school. Explore transparent, data-driven school profiles powered by official DfE statistics.
Explore Schools on WhatSchool.ai →