Curious about studying MSc Machine Learning and Deep Learningat University of Strathclyde? We've gathered all the key details—entry requirements, modules, fees, and more. Hear from real students by checking out reviews, or take the next step by booking an open day to explore it for yourself.
MSc - Master of Science
John Anderson Campus
Full Time
Jan 2027
1 Year
This MSc aims to equip students with the industry-relevant skills and expertise to help shape the AI systems of the future. You’ll:develop a deep understanding of machine learning principles & deep neutral network architectures, with a focus on cutting edge research & industrial applicationslearn how to design, build and optimise complex machine learning and deep learning systems tailored for use in industryexplore the architectures, algorithms and novel engineering, and software technologies that underpin today’s most advanced AI systemsdevelop practical skills through industry-support research projects addressing current real-world engineering challengesMachine learning and deep neural networks are at the heart of today’s technological revolution, driving innovation across nearly every sector – from healthcare and finance to robotics, transportation and the creative industries. This MSc is designed to equip you with the applied, industry-relevant expertise and practical skills needed to capitalise in the dynamic and fast-growing intelligent and smart systems domains.Delivered jointly by the Departments of Electronic & Electrical Engineering (EEE) and Computer & Information Sciences the course offers a truly interdisciplinary learning experience. You’ll benefit from the combined strengths of both departments—gaining insights from leading academics in autonomous and intelligent control, machine learning, deep neural networks, data analytics and software engineering.Through a blend of theoretical study and hands-on learning, you’ll develop a deep understanding of how intelligent systems are designed, built, and deployed. You’ll also engage with real-world challenges and industry case studies, learning to use the programming languages and engineering tools that drive innovation in today’s products and services.Whether you're aiming to join a leading technology company, contribute to cutting-edge research, or launch your own AI-driven venture, this course provides the technical foundation, design proficiency expertise and career-ready skills to help you succeed.