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Artificial intelligence (AI) is the scientific study that enables machines to mimic cognitive functions of human mind, such as learning and problem solving. It has enjoyed a resurgence following the advances of computational power, the availability of large amount of data and the development of theoretical understanding.
Built on Brunel's strong international research profile in intelligent data analysis, the aim of our Artificial Intelligence MSc course is to provide you with a solid awareness of the key concepts of artificial intelligence. You will develop a critical understanding of the state-of-the-art in this area and the practical skills to create value in its applications to business, scientific and social domains.
The programme offers a wide range of study areas that cover data analysis, various intelligent techniques, machine learning, deep learning, data visualisation, and ethics and governance.
In addition, you will have the opportunity to develop a broader set of skills including study skills, research skills, employment skills and capability skills through group projects, guest lectures or workshops from industry, and dissertation projects with industrial collaborations.
If you don’t want to commit to full or part-time study of the entire MSc, you can develop your educational portfolio over a longer period of time by undertaking staged study that leads to the award of Postgraduate Certificate (PGCert in Data Science), Postgraduate Diploma (PGDip in Artificial Intelligence) and Artificial Intelligence MSc in separate stages.
This course is also available online and has a placement option.
Programme overview
Main Subject
Computer Science and Information Systems
Degree
MSc
Study Level
Masters
Study Mode
Online
Artificial intelligence (AI) is the scientific study that enables machines to mimic cognitive functions of human mind, such as learning and problem solving. It has enjoyed a resurgence following the advances of computational power, the availability of large amount of data and the development of theoretical understanding.
Built on Brunel's strong international research profile in intelligent data analysis, the aim of our Artificial Intelligence MSc course is to provide you with a solid awareness of the key concepts of artificial intelligence. You will develop a critical understanding of the state-of-the-art in this area and the practical skills to create value in its applications to business, scientific and social domains.
The programme offers a wide range of study areas that cover data analysis, various intelligent techniques, machine learning, deep learning, data visualisation, and ethics and governance.
In addition, you will have the opportunity to develop a broader set of skills including study skills, research skills, employment skills and capability skills through group projects, guest lectures or workshops from industry, and dissertation projects with industrial collaborations.
If you don’t want to commit to full or part-time study of the entire MSc, you can develop your educational portfolio over a longer period of time by undertaking staged study that leads to the award of Postgraduate Certificate (PGCert in Data Science), Postgraduate Diploma (PGDip in Artificial Intelligence) and Artificial Intelligence MSc in separate stages.
This course is also available online and has a placement option.
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
MSc Artificial Intelligence
Brunel University of London, London, United Kingdom
# 301-350QS Subject Rankings
Programme overview
Main Subject
Computer Science and Information Systems
Degree
MSc
Study Level
Masters
Study Mode
Online
Artificial intelligence (AI) is the scientific study that enables machines to mimic cognitive functions of human mind, such as learning and problem solving. It has enjoyed a resurgence following the advances of computational power, the availability of large amount of data and the development of theoretical understanding.
Built on Brunel's strong international research profile in intelligent data analysis, the aim of our Artificial Intelligence MSc course is to provide you with a solid awareness of the key concepts of artificial intelligence. You will develop a critical understanding of the state-of-the-art in this area and the practical skills to create value in its applications to business, scientific and social domains.
The programme offers a wide range of study areas that cover data analysis, various intelligent techniques, machine learning, deep learning, data visualisation, and ethics and governance.
In addition, you will have the opportunity to develop a broader set of skills including study skills, research skills, employment skills and capability skills through group projects, guest lectures or workshops from industry, and dissertation projects with industrial collaborations.
If you don’t want to commit to full or part-time study of the entire MSc, you can develop your educational portfolio over a longer period of time by undertaking staged study that leads to the award of Postgraduate Certificate (PGCert in Data Science), Postgraduate Diploma (PGDip in Artificial Intelligence) and Artificial Intelligence MSc in separate stages.
This course is also available online and has a placement option.
Programme overview
Main Subject
Computer Science and Information Systems
Degree
MSc
Study Level
Masters
Study Mode
Online
Artificial intelligence (AI) is the scientific study that enables machines to mimic cognitive functions of human mind, such as learning and problem solving. It has enjoyed a resurgence following the advances of computational power, the availability of large amount of data and the development of theoretical understanding.
Built on Brunel's strong international research profile in intelligent data analysis, the aim of our Artificial Intelligence MSc course is to provide you with a solid awareness of the key concepts of artificial intelligence. You will develop a critical understanding of the state-of-the-art in this area and the practical skills to create value in its applications to business, scientific and social domains.
The programme offers a wide range of study areas that cover data analysis, various intelligent techniques, machine learning, deep learning, data visualisation, and ethics and governance.
In addition, you will have the opportunity to develop a broader set of skills including study skills, research skills, employment skills and capability skills through group projects, guest lectures or workshops from industry, and dissertation projects with industrial collaborations.
If you don’t want to commit to full or part-time study of the entire MSc, you can develop your educational portfolio over a longer period of time by undertaking staged study that leads to the award of Postgraduate Certificate (PGCert in Data Science), Postgraduate Diploma (PGDip in Artificial Intelligence) and Artificial Intelligence MSc in separate stages.
This course is also available online and has a placement option.
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
How to get a full scholarship
Looking for a fully-funded scholarship to see you into university? Find out how to boost your chances of getting one.
Scholarships to study abroad
Find scholarships to study abroad with our lists of international scholarships – categorized by country, by subject, and by type of student.
Scholarship Applications: Frequently Asked Questions
Get answers to all your questions about scholarship applications, including tips on how to find scholarships and chances of success.
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