Entry requirements

Normally a first-class or second-class honours degree (or international equivalent) in electronic or electrical engineering, or computer science.

Highly-qualified candidates from other relevant engineering or science-related disciplines may be considered.

Months of entry

January, September

Course content

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 applications
learn how to design, build and optimise complex machine learning and deep learning systems tailored for use in industry
explore the architectures, algorithms and novel engineering, and software technologies that underpin today’s most advanced AI systems
develop practical skills through industry-support research projects addressing current real-world engineering challenges

Machine 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.

Department of Electronic & Electrical Engineering Online Drop in Sessions

Thinking about taking the next step with an MSc at Strathclyde? We would love to meet you.

Before you submit your application, or even after you have received an offer, join us for an informal online drop-in session. This is a relaxed opportunity to chat directly with academic staff and ask questions about our MSc programmes.

Our drop in sessions take place fortnightly, every other Monday from 11am-12pm (UK time). They will take place via Microsoft Teams.

Find out more and register now to be sent the Teams link to attend.