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City St George's, University of London (formally City)
Artificial Intelligence MSc
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Artificial Intelligence MSc
Northampton Square, London, United Kingdom
# 351-400QS Subject Rankings
12 monthsProgram duration
22,940 GBPTuition Fee/year
31 Aug, 2024Application Deadline
Program overview
Main Subject
Computer Science and Information Systems
Degree
MSc
Study Level
Masters
Study Mode
On Campus
This hands-on artificial intelligence masters programme focuses on the most advanced nature-based AI technology, known as Deep Learning, based on neural networks and its applications. You will learn cutting-edge AI to solve real-world problems, helping you...
Read more
This hands-on artificial intelligence masters programme focuses on the most advanced nature-based AI technology, known as Deep Learning, based on neural networks and its applications. You will learn cutting-edge AI to solve real-world problems, helping you progress in your career across industrial sectors and scientific programmes.
This Masters in Artificial Intelligence (AI) course will give you the most advanced AI knowledge and skills to progress in your career.
You will become an expert on Deep Learning, able to developing adaptable artificial neural networks that mimic how the brain works.
AI is transforming society and it is applied everywhere, from targeted advertising and profiling to social media, in technology and scientific discovery. You will be ready for current employment demands. You will also explore the wider issues of bias, ethics, accountability and trust that surround ‘Explainable AI’.
You will learn in the world-class, state-of-the-art City AI lab and have the latest computers and a dedicated HPC GPU node, tools and technologies at your fingertips.
Read lessProgram overview
Main Subject
Computer Science and Information Systems
Degree
MSc
Study Level
Masters
Study Mode
On Campus
This hands-on artificial intelligence masters programme focuses on the most advanced nature-based AI technology, known as Deep Learning, based on neural networks and its applications. You will learn cutting-edge AI to solve real-world problems, helping you...
Read more
This hands-on artificial intelligence masters programme focuses on the most advanced nature-based AI technology, known as Deep Learning, based on neural networks and its applications. You will learn cutting-edge AI to solve real-world problems, helping you progress in your career across industrial sectors and scientific programmes.
This Masters in Artificial Intelligence (AI) course will give you the most advanced AI knowledge and skills to progress in your career.
You will become an expert on Deep Learning, able to developing adaptable artificial neural networks that mimic how the brain works.
AI is transforming society and it is applied everywhere, from targeted advertising and profiling to social media, in technology and scientific discovery. You will be ready for current employment demands. You will also explore the wider issues of bias, ethics, accountability and trust that surround ‘Explainable AI’.
You will learn in the world-class, state-of-the-art City AI lab and have the latest computers and a dedicated HPC GPU node, tools and technologies at your fingertips.
Read lessAdmission Requirements
You must also have solid mathematical skills, including linear algebra and calculus.
Relevant professional experience in AI-related areas could be considered to complement your academic qualifications.
Tuition Fee
Domestic Students
International Students
Scholarships
One of the important factors when considering a master's degree is the cost of study. Luckily, there are many options available to help students fund their master's programme. Download your copy of the Scholarship Guide to find out which scholarships from around the world could be available to you, and how to apply for them.
In this guide you will find:
Where to look for scholarship opportunities
How to apply to scholarships relevant to you
A list of available scholarships around the world
A scholarship application checklist
QS subject rankings
Subject: Computer Science and Information Systems
Ranking criteria
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