Artificial Intelligence Brunel University of London
| Award | Attendance | Study | Duration | Start | Domestic fees | International fees |
|---|---|---|---|---|---|---|
| MSc | On-Campus | find out | find out | September | find out | find out |
Course overview
Computer Science at Brunel is ranked 4th in London by the Times Higher Education World Rankings 2024.
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 Certiļ¬cate (PGCert in Data Science), Postgraduate Diploma (PGDip in Artificial Intelligence) and Artificial Intelligence MSc in separate stages.
A placement option is available. Please visit the course page here: Artificial Intelligence MSc | Brunel University of London
Entry requirements for this course
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