2-Term Pathway - Pre-Masters in Engineering and Sciences - Continue to Master of Science - Machine Learning and Deep Learning
50 George Street, Glasgow, United Kingdom
233862
Last updated: 27/08/2024
About 2-Term Pathway - Pre-Masters in Engineering and Sciences - Continue to Master of Science - Machine Learning and Deep Learning
Program Description
This program consists of a pathway program offered by StudyGroup at the International Study Centre for the University of Strathclyde followed by entry into a university program offered at the University of Strathclyde. In your international foundation year, you will study courses related to your intended field of study alongside English to develop and enhance your skills as a student. Advancement into your intended program depends upon the successful completion of the pathway program.
The Pre-Masters in Engineering and Sciences, you will explore and begin to understand the power of engineering and science in the real world. While you begin to learn the technical aspects of media, you will discover how to push the bounds of creative expression and graduate with the skills to succeed, plus the critical outlook and approach employers want.
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.
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