University of Strathclyde campus

Engineering

MSc Machine Learning & Deep Learning at University of Strathclyde

University of Strathclyde, United Kingdom

Programme overview

This interdisciplinary MSc, delivered jointly by Electronic & Electrical Engineering and Computer & Information Sciences, covers machine learning, intelligent systems and deep neural networks with a focus on robotics, data science and decision-making technologies. It is accredited by the Institution of Engineering & Technology and includes competitive industry internships.

Faculty: Faculty of Engineering  |  Department: Electronic & Electrical Engineering (jointly with Computer & Information Sciences)  |  Duration: 12 months full-time  |  Intake: September and January  |  Study mode: full-time  |  Location: Glasgow, Scotland, United Kingdom

What you will study

Taught modules include Intelligent Sensing & Reasoning through Machine Learning, Neural Networks & Deep Learning and Machine Learning for Data Analytics, alongside leadership, project management and professional engineering skills. Students then complete an MSc Project between May and August, which may be research-based or an industry internship with a partner company.

Career pathways

Career paths include Machine Learning Engineer and Deep Learning Specialist roles in industries from healthcare and finance to retail, the environment and transportation.

Official programme page

Application information

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 disciplines may be considered. International applicants who do not meet the academic requirements can take the Pre-Masters Preparation Course at the Strathclyde International Study Centre.

Domestic applicants: GBP 12,550 a year (2026/27). Scotland and England, Wales & Northern Ireland fee status; full-time Source

International applicants: GBP 32,800 a year (2026/27). International; full-time Source

Intake: September and January

Duration: 12 months full-time

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