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Course overview
The aim of the programme is to provide a solid awareness of the key concepts of artificial intelligence, to develop a critical understanding of the state-of-the-art in this area, and to develop the practical skills necessary 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, the students will have the opportunity to develop a broader set of skills, including study skills, research skills, employment skills and capability skills through teamwork (e.g. group projects), guest lectures or workshops from industry, and dissertation projects with industrial collaborations.
Study method
- Online
- Blended
- In-class
- Virtual
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Duration study load
- 1 year full-time
- 2 years part-time
Entry requirements
A 2:2 or above UK Honours degree ( or equivalent internationally recognised qualification) from a scientific, technology, engineering, computing or numerate subject.
- IELTS: 6.5 (min 6 in all areas)
- Pearson: 59 (59 in all subscores)
- BrunELT: 63% (min 58% in all areas)
- TOEFL: 90 (min 20 in all)
About Brunel University London
Brunel University London proudly takes its name from one of the great British engineers of the 19th century, Isambard Kingdom Brunel. Our alumni continue to follow in his footsteps in civil engineering today, as well as going on to work across a range of manufacturing, service, and government sectors around the world.
In the spirit of our namesake, excellence, innovation and entrepreneurialism is at the heart of everything we do here at Brunel. As a diverse, forward-thinking university, we are proud to be ranked in the top 60 universities worldwide for the number of international students (QS World University Rankings 2020), and 34th in the world for international outlook (Times Higher Education World University Rankings 2019).
