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 University London's strong international research profile in intelligent data analysis, the aim of this Artificial Intelligence MSc course is to provide students with a solid awareness of the key concepts of artificial intelligence. They 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, students 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.
Level | Masters |
Discipline | Computer Science and IT |
Duration | 12 months |
Intakes | Sep |
Application Fees | GBP 0 |
Tuition Fees | GBP 21470 |
Campus | Main |
Language proficiency (minimum) | |
IELTS | 6.5 |
---|---|
TOEFL | 90 |
PTE | 59 |
Duolingo | Not Accepted |
Exam proficiency (minimum) | |
SAT | Not Required / Waiver |
---|---|
ACT | Not Required / Waiver |
GRE | Not Required / Waiver |
GMAT | Not Required / Waiver |
Minimum GPA - 70%
QS Quacquarelli Symonds is the world’s leading provider of services, analytics, and insight to the global higher education sector, whose mission is to enable motivated people anywhere in the world to fulfil their potential through educational achievement, international mobility, and career development.
THE (Times Higher Education) has been providing trusted performance data on universities for students and their families, academics, university leaders, governments and industry, since 2004. We create university rankings to assess university performance on the global stage and to provide a resource for readers to understand the different missions and successes of higher education institutions.
The Academic Ranking of World Universities (ARWU) was first published in June 2003 by the Center for World-Class Universities (CWCU), Graduate School of Education (formerly the Institute of Higher Education) of Shanghai Jiao Tong University, China, and updated on an annual basis
The "Webometrics Ranking of World Universities" is an initiative of the Cybermetrics Lab, a research group belonging to the Consejo Superior de Investigaciones Científicas (CSIC), the largest public research body in Spain. CSIC is among the first basic research organizations in Europe. The CSIC consisted in 2006 of 126 centers and institutes distributed throughout Spain.