Study MSc Machine Learning and Deep Learning at University of Strathclyde in the UK, Electronic and Electrical Engineering

MSc Machine Learning and Deep Learning

UK

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5

What will I learn?

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.

Which department am I in?

Electronic and Electrical Engineering

Study options

Full Time (1 Year)

Tuition fees
£32,800.00 (US$ 42,359) per year
This is a fixed fee

*Price shown is for indicative purposes, please check with institution

Start date

January 2027

Venue

John Anderson Campus

16 Richmond Street,

Glasgow,

G1 1XQ, Scotland, United Kingdom

Full Time (1 Year)

Tuition fees
£32,800.00 (US$ 42,359) per year
This is a provisional fee yet to be approved

*Price shown is for indicative purposes, please check with institution

Start date

September 2027

Venue

John Anderson Campus

16 Richmond Street,

Glasgow,

G1 1XQ, Scotland, United Kingdom

Entry requirements

For international students

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.

*There may be different IELTS requirements depending on your chosen course.

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About University of Strathclyde

Home to around 30,000 students from over 140 countries, the university is located in the heart of Glasgow – a vibrant economic and commercial centre.

  • UK Research Uni of the Year (Daily Mail Uni Guide 2027)
  • UK Uni of the Year (Daily Mail University Guide 2026)
  • Scottish Uni of the Year (Times Good University Guide 2026)
  • 90 percent of research ‘excellent’ or better (REF 2021)

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