Master of Science - Artificial Intelligence Logo

Master of Science - Artificial Intelligence

London Metropolitan University - Holloway

166-220 Holloway Road, London, United Kingdom

237504

Last updated: 03/03/2025
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London Metropolitan University - Holloway Logo

About Master of Science - Artificial Intelligence

London Metropolitan University's Artificial Intelligence MSc degree is the ideal choice if students want to progress or start their 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, students will have a wider pool of opportunities to choose from, a clear career path and a higher starting salary than average across all professions.

The Artificial Intelligence MSc degree has been accredited with partial CITP status by BCS, The Chartered Institute for IT. This accreditation is a mark of assurance that the degree meets the standards set by BCS. As a graduate of this course, accreditation will also entitle students to professional membership of BCS, which is an important part of the criteria for achieving Chartered IT Professional (CITP) status through the Institute.

The course has also achieved partial CENG status by BCS on behalf of the Engineering Council. Accreditation is a mark of assurance that the degree meets the standards set by the Engineering Council in the UK Standard for Professional Engineering Competence (UK-SPEC). An accredited degree will provide students with some or all of the underpinning knowledge, understanding and skills for eventual registration as an Incorporated (IEng) or Chartered Engineer (CEng).

The Artificial Intelligence MSc curriculum is well-balanced as it combines two groups of modules – fundamental modules and specialist modules.

On this course, students will 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 London Metropolitan University's Artificial Intelligence MSc is the programme’s focus on various aspects of security, including information, networks and cyber security. Students will 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.

Students will finish their degree with a dissertation, which they’ll have the opportunity to link with the work of one of London Metropolitan University's two research centres – the Cyber Security Research Centre or the Intelligent Systems Research Centre. On the course, students will also have the opportunity to work on collaborative projects with long-standing partners in the fintech industry, including Lloyds Banking Group, Callsign and Open Banking Inc.

Students will finish their degree with a dissertation, which they will have the opportunity to link with the work of one of two research centres – the Cyber Security Research Centre or the Intelligent Systems Research Centre. On the course, students will also have the opportunity to work on collaborative projects with London Metropolitan University's 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, students will find that some of the modules provide preparation for professional qualifications in areas such as big data management, data analytics and cyber security.

An International Bright Futures Scholarship in the amount of £3,000 will automatically be applied to eligible students with overseas fee status starting a degree with London Met in the 2024/25 academic year. This scholarship includes a tuition fee reduction for the duration of students' studies and is applicable to both undergraduate and postgraduate courses. 

Tuition Deposit is £4,000 for all students excluding those from Punjab and Haryana for whom the deposit amount will remain at 50%


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Master's Degree
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1 Year Master's Degree
Cost of Living
£13,347.00 GBP / Year
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£20,000.00 GBP / First Year
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