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University of Strathclyde: Machine Learning and Deep Learning
| Institution | University of Strathclyde View institution profile |
|---|---|
| Department | Electronic and Electrical Engineering |
| Web | https://www.strath.ac.uk/ |
| eng-admissions@strath.ac.uk | |
| Telephone | +44 (0)141 574 5484 |
| Study type | Taught |
MSc
Summary
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. The course is fully accredited by the UK professional body, the Institution of Engineering and Technology (IET).
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.
| Level | SCQF Level 11 |
|---|---|
| Entry requirements | Normally a first or second-class Honours degree, or equivalent overseas qualification, in electronic or electrical engineering. |
| Location | University of Strathclyde McCance Building 16 Richmond Street Glasgow G1 1XQ |
Fees
| England | 12550 GBP for Year 1 |
|---|---|
| Northern Ireland | 12550 GBP for Year 1 |
| Scotland | 12550 GBP for Year 1 |
| Wales | 12550 GBP for Year 1 |
| Channel Islands | 12550 GBP for Year 1 |
| Republic of Ireland | 12550 GBP for Year 1 |
| EU | 32800 GBP for Year 1 |
| International | 32800 GBP for Year 1 |
Summary
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. The course is fully accredited by the UK professional body, the Institution of Engineering and Technology (IET).
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.
| Level | SCQF Level 11 |
|---|---|
| Entry requirements | Normally a first or second-class Honours degree, or equivalent overseas qualification, in electronic or electrical engineering. |
| Location | University of Strathclyde McCance Building 16 Richmond Street Glasgow G1 1XQ |
Fees
| England | 12550 GBP for Year 1 |
|---|---|
| Northern Ireland | 12550 GBP for Year 1 |
| Scotland | 12550 GBP for Year 1 |
| Wales | 12550 GBP for Year 1 |
| Channel Islands | 12550 GBP for Year 1 |
| Republic of Ireland | 12550 GBP for Year 1 |
| EU | 32800 GBP for Year 1 |
| International | 32800 GBP for Year 1 |
Summary
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.
| Level | SCQF Level 11 |
|---|---|
| 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. |
| Location | University of Strathclyde McCance Building 16 Richmond Street Glasgow G1 1XQ |
Fees
| England | 11900 GBP for Year 1 |
|---|---|
| Northern Ireland | 11900 GBP for Year 1 |
| Scotland | 11900 GBP for Year 1 |
| Wales | 11900 GBP for Year 1 |
| International | 31100 GBP for Year 1 |
Summary
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.
| Level | SCQF Level 11 |
|---|---|
| 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. |
| Location | University of Strathclyde McCance Building 16 Richmond Street Glasgow G1 1XQ |
Fees
| England | 11900 GBP for Year 1 |
|---|---|
| Northern Ireland | 11900 GBP for Year 1 |
| Scotland | 11900 GBP for Year 1 |
| Wales | 11900 GBP for Year 1 |
| International | 31100 GBP for Year 1 |
UK University of the Year
The University of Strathclyde is a leading international technological university, located in the heart of Glasgow – one of the UK’s largest cities. Founded in 1796 as ‘a place of useful learning’, we are home to around 30,000 students from more than 140 countries.
We offer flexible, innovative learning and deliver academic excellence through world-class research and teaching. Many of our courses include industrial placement opportunities, helping equip graduates for a fast-changing, competitive environment beyond study.
Accolades
- The University was named UK University of the Year in the Daily …
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