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MSc Artificial Intelligence

  • DeadlineStudy Details:

    Full-time in 1 year; part-time in 2 years

Course Description

Our 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

A distinctive feature of our Artificial Intelligence MSc is the programme’s focus on various aspects of security, including information, networks and cyber security. You’ll learn how to conduct security analytics in an intelligent way, which is a growing AI field in the detection, identification, classification, prediction and prevention of threats.

You’ll finish your degree with a dissertation, which you’ll have the opportunity to link with the work of one of our two research centres – the Cyber Security Research Centre or the Intelligent Systems Research Centre. On the course you’ll also have the opportunity to work on collaborative projects with our long-standing partners in the fintech industry, including Lloyds Banking Group, Callsign and Open Banking Inc.

Although a master’s degree in artificial intelligence does not lead to a professional qualification on its own, you’ll find that some of the modules provide preparation for professional qualifications in areas such as big data management, data analytics and cyber security.

Entry Requirements

You will be required to have:

  • an undergraduate degree in computer or data science, computer, software or network engineering, computing or ICT

You will also be considered if you have:

  • an undergraduate degree that requires mathematics and computing skills, including mathematics, physics, chemistry, economics, business or finance

Programming skills with one of the popular languages such as Java or Python would also be a great advantage.

To study a degree at London Met, you must be able to demonstrate proficiency in the English language. If you require a Tier 4 student visa you may need to provide the results of a Secure English Language Test (SELT) such as Academic IELTS. For more information about English qualifications please see our English language requirements.

If you need (or wish) to improve your English before starting your degree, the University offers a Pre-sessional Academic English course to help you build your confidence and reach the level of English you require.

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Fees

UK/EU Full-time £8,950 per year Part-time £995 per 20 credit module International Full-time £13,250 per year Part-time £1,470 per 20 credit module (if you require a Tier 4 visa you will not be able to study on a part-time basis)

Module Details

The modules listed below are for the academic year 2019/20 and represent the course modules at this time. Modules and module details (including, but not limited to, location and time) are subject to change over time.

Year 1 modules include:

  • Artificial Intelligence
  • Cloud Computing and the Internet of Things
  • Data Warehousing and Big Data
  • Information Security
  • MSc Project
  • Machine Learning
  • Semantic Technologies

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