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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. 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. 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.

Modules

Example modules include: Artificial Intelligence Semantic Technologies Machine Learning Data Warehousing and Big Data Cloud Computing and Internet of Things Information Security MSc Project

Assessment method

All three artificial intelligence (AI) methodological modules will be assessed by combining coursework for assessing the skills of using the AI methods and tools (60%) and an exam for evaluating the level of understanding in decision-making skills as well as analysing and designing intelligent systems (40%). All three technological modules will be assessed by two pieces of coursework to assess your working knowledge of technologies (50%) and your practical ability to use tools (50%) which will allow you to add intelligence to the solutions in the chosen domain – business, industry or entertainment. The dissertation project will assess your theoretical knowledge, analytical and technological skills and the decision-making potential which will guarantee your ability to add intelligent solutions to the business, industry and entertainment.


Entry requirements

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.


English language requirements

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.

More information about our English language requirements.

https://www.londonmet.ac.uk/international/applying/english-language-requirements/undergraduate/


Fees and funding

Tuition fees

England £10500 Whole course
Northern Ireland £10500 Whole course
Scotland £10500 Whole course
Wales £10500 Whole course
EU £18150 Whole course
International £18150 Whole course
Channel Islands £18150 Whole course
Republic of Ireland £18150 Whole course

Additional fee information

Please note, in addition to the tuition fee there may be additional costs for things like equipment, materials, printing, textbooks, trips or professional body fees. Additionally, there may be other activities that are not formally part of your course and not required to complete your course, but which you may find helpful (for example, optional field trips). The costs of these are additional to your tuition fee and the fees set out above and will be notified when the activity is being arranged.
Artificial Intelligence at London Metropolitan University - UCAS