Machine Learning, Mathematics and Statistics, MSci (Hons)

This degree programme aims to equip students with a rigorous understanding of the mathematical and statistical foundations of Machine Learning and Artificial Intelligence, including linear algebra, calculus, probability theory, and statistical inference. It fosters critical analysis and construction of theoretically grounded algorithms and models, considering computational complexity and statistical validity, while providing deep insights into Machine Learning and Deep Learning paradigms to drive innovation. The programme instils passion for algorithms and complexity to ensure efficient solutions, cultivates awareness of ethics, transparency, accountability, and regulatory issues—along with advocacy skills—and explores the history and philosophy of these fields to appreciate their scope and limitations. Graduates are prepared for responsible roles in the information technology industry, with opportunities for in-depth study in chosen topics, independent research, enhanced transferable skills like communication and teamwork, and a commitment to sustainable computing through action, awareness, and systemic solutions. It also develops abilities to evaluate emerging literature, communicate critiques effectively, and execute refined research plans.Aligned with recommendations from the UK's Quality Assurance Agency (QAA) and the US Association for Computing Machinery (ACM), the programme acknowledges the vast scope of computing science knowledge, focusing on core attributes and essentials for graduates while allowing specialisms in areas of school strength and industry input to enable deep expertise.