BSc Mathematics with Data Science and Artificial Intelligence
About this course
In today's data-driven world, the demand for professionals who can design and build tools for extracting and interpreting knowledge from data continues to grow across every sector of the economy. Mathematics provides the rigorous theoretical foundation for data science and AI, underpinning the statistical models, algorithms, and computational methods that make modern data analysis possible. Data science and artificial intelligence apply that foundation to the practical challenge of working with large and complex data sets, developing tools and insights that can support better decisions in business, healthcare, research, and public services. At the University of Leicester, this programme includes a foundation year, giving students a thorough and supported entry into degree-level mathematical and computing study. The foundation year builds the quantitative reasoning, algebraic thinking, and computational skills that you will need before the main programme begins. From the main degree onwards, you will study mathematics in depth, covering areas including calculus, linear algebra, statistics, and probability, alongside the data science and AI content that applies these mathematical tools to real problems. You will develop programming skills, learn to work with large data sets, apply machine learning methods, and build the ability to design and evaluate AI systems with both theoretical grounding and practical competence. This full-time programme includes a foundation year, a sandwich year with a work placement, and a year abroad, making it one of the most comprehensively structured degrees of its kind. Graduates are highly sought after across data science, financial services, technology, healthcare analytics, government, and research. The rigorous mathematical training combined with practical AI and data science experience prepares you for roles that are among the most in demand in the contemporary economy. Further postgraduate study in data science, statistics, or AI is also a natural progression.
Syllabus & Modules
Typical curriculumStudent Satisfaction
National Student Survey - 40 respondents (65% 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 →