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  • Undergraduate courses
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Course options

  • Qualification

    MSc - Master of Science

  • Location

    Holloway

  • Study mode

    Full time

  • Start date

    FEB

  • Duration

    1 year

Course summary

Why study this course?

Our 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.

Our 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 you 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 you with some or all of the underpinning knowledge, understanding and skills for eventual registration as an Incorporated (IEng) or Chartered Engineer (CEng).

Some employers recruit preferentially from accredited degrees, and an accredited degree is likely to be recognised by other countries that are signatories to international accords.

More about this course

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.

Tuition fees

Students living in Hong Kong
(International fees)

£ 18,150per year

Tuition fees shown are for indicative purposes and may vary. Please check with the institution for most up to date details.

University information

London Metropolitan University

London Metropolitan University

  • University League Table

    127th

  • Campus address

    London Metropolitan University, Admissions Office, 166-220 Holloway Road, City of London, N7 8DB, England

London Met is home to students from over 150 nationalities, creating a diverse and enriching learning experience.
London Met campuses are based in central London, a city consistently ranked one of the best in the world for university students.
London Met’s dedicated international team provides advice and guidance on key issues such as visas, family and dependants, induction, and work opportunities.

Subject rankings

  • Subject ranking

    114th out of 117

  • Entry standards

    / Max 227
    88 39%

    116th

  • Graduate prospects

    / Max 100
    61.0 61%

    109th

    1
  • Student satisfaction

    / Max 4
    3.40 85%

    2nd

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