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.
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 an increasing number of products and services worldwide.
Careers
Job titles for future graduates of the MSc Machine Learning & Deep Learning include (but not limited to):
Graduate Software Engineer
Electronic Engineering Systems Analysts
Lecturer / Researcher
Data Scientist
Data Engineer
Data Analyst
Machine Learning Engineer
Data Insight Analyst
* السعر الظاهر هو سعر توضيحي، يرجى تواصل مع الجامعة
يناير 2026
John Anderson Campus
16 Richmond Street,
Glasgow,
G1 1XQ, Scotland, United Kingdom
* السعر الظاهر هو سعر توضيحي، يرجى تواصل مع الجامعة
سبتمبر 2025
John Anderson Campus
16 Richmond Street,
Glasgow,
G1 1XQ, Scotland, United Kingdom
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.
IELTS condition 6.5 overall, with a minimum of 5.5 in each component
TOEFL (ibt): 80 overall, with the following minimum scores in each component: Listening: 17 Reading: 18 Speaking: 20 Writing: 18
قد يكون هناك متطلبات أيلتس مختلفة بناء على التخصص المحدد.
تضم الجامعة حوالي 30 ألف طالب من أكثر من 140 دولة، وتقع في قلب مدينة غلاسكو - المركز الاقتصادي والتجاري النابض