Course Overview

Leading organisations worldwide and research centres in a wide range of applications and products currently use machine learning and deep neural network systems. This course is for engineers and scientists looking to gain the necessary skills to be able to design these systems for use in industry.

Our MSc Machine Learning & Deep Learning degree focuses on state-of-the-art technologies for machine learning and deep neural network systems. The emphasis is on architectures, algorithms and implementation with applications in diverse areas.

Administered by the Department of Electronic & Electrical Engineering and jointly delivered with the Department of Computer & Information Sciences, you'll be exposed to state-of-the-art engineering and software technologies that underpin machine learning and deep neural network systems.

You'll learn about and gain experience from hands-on, industry-relevant projects and examples. This includes programming languages and engineering tools used in increasing products and services worldwide.

General Eligibility

Academic requirements

Typically 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.

Part Time Work Details

20 hours of work permit weekly for international students.

Language Requirement

• IELTS 6.0 overall (no individual band less than 5.5)