Course details
Course description
Machine learning and deep neural network systems are currently used by leading organisations worldwide and research centres in a wide range of applications and products. 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 a diverse range of areas.
Delivered jointly by the Departments of Electronic & Electrical Engineering and 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 an increasing number of products and services worldwide.
Subjects
- Engineering
- Industrial electronics
- Electrical engineering
Entry requirements
Normally a first or second-class Honours degree, or equivalent overseas qualification, in electronic or electrical engineering, or computer science, from a recognised academic institution. Highly-qualified candidates from other relevant engineering or science-related disciplines may be considered.
Course options
Course details
Full time
1st Sep 2023 to 1st Sep 2024
Cost: £9,250.00 (ex. VAT)
Venue details
University of Strathclyde
McCance Building
16 Richmond Street
Glasgow
G1 1XQ
Course details
Full time
1st Jan 2024 to 1st Jan 2025
Cost: Visit the provider's website for details.
Venue details
University of Strathclyde
McCance Building
16 Richmond Street
Glasgow
G1 1XQ