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Rank: 131 (UKEAS)
Study mode full-time
Start Date: 2021/09/01
Duration: 12 months
Intl fees: £13750
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Ranking and student feedback
(Computer sciences and IT)
London Metropolitan University evaluation:
17.8 : 1
Computer sciences and IT evaluation:
London Metropolitan University has opted into the TEF and received a Bronze award.
Why study this courseOur Artificial Intelligence MSc degree is the ideal choice if you want to progress or start your career in the computer science, data or software engineering industry. The course is designed for those who want to play a part in transforming the relationship between people and technology, as well as those who want to be on the forefront of the current digital revolution that is spanning all sectors from science and engineering to business and entertainment.Artificial Intelligence (AI) is no longer confined to academic research, it's a growing area of computer science that is beginning to be utilised across all industries that want to gain more from their technology by adding intelligence and learning capabilities to their products.Recent advances in knowledge representation, pattern recognition, natural language processing and machine learning have made it possible to construct software that solves problems beyond human reach. As a result the industry is experiencing a huge demand for AI specialists. On graduation you'll have a wider pool of opportunities to choose from, a clear career path and a higher starting salary than average across all professions.More about this courseOur Artificial Intelligence MSc curriculum is well-balanced as it combines two groups of modules fundamental modules and specialist modules.On this course you'll learn how to develop AI software and apply AI methods through:
- collecting, aggregating, filtering and transporting data from files, databases and live data sources in real-time
- modelling, extracting, correlating and analysing data from memory and repositories in automatic, interactive and batch modes of operation
- designing, developing and testing intelligent programmes, which can perform automated reasoning and learning
- constructing and controlling autonomous devices, such as robots and drones
You will be required to have: a 2:2 UK degree (or equivalent) in computer or data science, computer, software or network engineering, computing or ICT, cyber security You will also be considered if you have: a 2:2 UK degree (or equivalent) that requires mathematics and computing skills, including mathematics, physics, chemistry, economics, business or finance. Applicants with relevant professional experience will also be considered. Programming skills with one of the popular languages such as Java or Python would also be a great advantage.
IELTS: 6.0 (5.5 each)
Notice: This is the default IELTS grade for London Metropolitan University, Artificial intelligence. For the most up to date IELTS requirements, please contact our counsellors.
About this university
There are an average of 7000 international students at the university from over 150 countries around the world. The International Student Advice Service is available to help with many of the queries and issues these students have ranging from immigration and visas to country specific application information. There is also help with daily life matters through a series of one to one and group sessions as well as with social events to enjoy their time in London. There are also English language skills courses for those wanting to learn or improve their grasp of the language. The drop-in advice centre is found in Tower Building on the Holloway campus. Student life outside the classroom focuses around the Student Union which provides representation, support and advice to its members. It also operates the various clubs and societies while running two social facilities, a bar on Holloway Road and another on Goulston Street which hosts a range of special events. There are also a range of student media opportunities to get involved with including a magazine, radio station, newspaper and a law publication. Clubs and societies range from sports to interest, culture and faith as well as academic subjects and into volunteering and charity work. Students can get involved with the running of the union and helping their fellow students as well as working in the larger community. They can even seek to set up their own group about a shared interest with others.