BSc Honours in Machine Learning, Mathematics and Statistics BSc (Hons)

This programme explores the mathematical and statistical foundations of machine learning and artificial intelligence, equipping you with theoretical depth and practical skills to innovate in data-driven technologies<br/><br/><strong>Why study this course at the University of Glasgow</strong><br/>This BSc combines expertise in Computing Science and Mathematics & Statistics, and offers a learning environment where theory meets real-world application with world-class research links, including the Alan Turing Institute. You’ll gain a deep understanding of AI fundamentals while exploring how they apply across areas like health, business, and finance, alongside ethical and societal considerations. It’s a programme designed to help you think critically, innovate, and make an impact in a rapidly evolving field.<br/><br/><strong>Programme Structure</strong><br/>Year 1<br/>You will choose between two pathways depending on prior programming experience. All students study Computing Science (40 credits), Mathematics (40 credits), and are recommended to take Statistics (40 credits), building a strong foundation for advanced study.<br/><br/>Year 2<br/>You will deepen your understanding of core topics including algorithms, data structures, calculus, linear algebra, and statistical inference. Programming and mathematical modelling are integrated into coursework.<br/><br/>Years 3 and 4<br/>If you progress to Honours (years 3 and 4), study will focus on advanced machine learning, deep learning, optimisation, and statistical modelling. You will engage in independent research, ethical AI discussions, and interdisciplinary applications in fields like health, finance, and robotics.<br/><br/>There is also an option to complete a fifth year to graduate with an integrated Masters, MSci.<br/><br/><strong>Career Prospects</strong><br/>Graduates from this programme are well-prepared for careers in AI, data science, finance, healthcare, and academia. Employers include PwC, Deloitte, RBS, and tech firms.