Mathematics and Artificial Intelligence (Hons) University of Stirling

Overview

Mathematics is at the centre of AI and machine learning. It uses statistics and probability to interpret data, identify trends, and make predictions.

There’s significant demand for AI and mathematics graduates who can code and understand the theory underpinning the systems they are building. Sectors such as technology, business, finance, engineering, robotics, research and the sciences all need these skills. You’ll develop the foundations needed to progress into roles involving data and statistics, research and machine learning.

Gain in-demand maths skills with an emphasis on AI 

Get the theory, the quantitative skills, and the practical technological skills you need to solve real-world problems using AI. This maths and AI degree is for students who enjoy mathematics and want to understand how artificial intelligence works at a fundamental level. You’ll learn core skills in:

• Linear algebra: Essential for understanding data representation, neural networks, and dimensionality reduction.

• Probability and statistics: Crucial for machine learning models, Bayesian methods, and data analysis.

• Calculus and optimisation: The basis for training algorithms, such as gradient descent, and understanding how models learn.

• Programming: Essential for implementing and testing artificial intelligence algorithms. You’ll develop expertise in Python and R.

• AI for computer vision and natural language processing.

• Generative AI.
• Data Science: Essential for training and developing AI algorithms. 

Accreditation

Our undergraduate degree courses are accredited by the Institute of Mathematics and Its Applications.