MSc Mathematics and Statistics with Artificial Intelligence at University of West London

The MSc Mathematics and Statistics with Artificial Intelligence is designed for graduates seeking to develop advanced analytical expertise at the crossroads of mathematics, statistics, and artificial intelligence. Spanning subjects across pure mathematics, applied mathematics and statistics, this MSc Mathematics and Statistics course also includes a focus on artificial intelligence. As AI continues to reshape industries and drive technological innovation, this course provides a blend of mathematical theory, statistical modelling, machine learning, deep learning, and computational intelligence.

Duration: 1 year full-time; 2 years part-time  |  Study mode: full-time (part-time available)  |  Intake: September 2027  |  Location: London, England, United Kingdom

What you will study

This Mathematics and Statistics with Artificial Intelligence degree delivers intensive training in the mathematical foundations and computational techniques that drive modern artificial intelligence. Through a carefully designed set of specialist modules, you will develop a focused and coherent body of knowledge at the intersection of advanced mathematics and AI applications. A distinctive feature of the course is its strong emphasis on the mathematical principles that underpin modern AI. Modules include: Artificial Intelligence; Machine Learning; Topics in Probability and Stochastic Processes; Deep Learning; Statistical Data Analytics; Mathematical Methods and Modelling; Dissertation in Mathematics and Statistics.

Career pathways

This Mathematics and Statistics with Artificial Intelligence course leads to a broad range of highly skilled and sought-after careers. These opportunities span a wide variety of sectors, including technology, finance, healthcare, engineering, energy, manufacturing, government, and scientific research, where advanced analytical and AI capabilities are increasingly in demand. Job roles include: Data Scientist; Machine Learning Engineer; Artificial Intelligence Engineer; Quantitative Analyst; Research Scientist; Data Analyst; AI Consultant; Financial Modeller.

Official programme page