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 initial 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 initial 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.
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:
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.
All three artificial intelligence fundamental modules will be assessed by combining coursework (60%) and exams (40%). Coursework will assess your skills in using AI methods and tools, while exams will evaluate your level of understanding and decision-making skills in analysing and designing intelligent systems.
The specialist modules will be assessed by two pieces of coursework, to assess your knowledge of technologies (50%) and practical ability to use tools (50%). The skills you’ll develop through these assessments will allow you to add intelligence to solutions in your chosen domain – business, industry or entertainment.
The dissertation project will assess your theoretical knowledge, analytical and technological skills, as well as your decision-making potential.
Although AI does not lead to a professional qualification on its own, some of the modules included in the course curriculum provide preparation for professional qualification in related areas, such as big data management, data analytics and cyber security.
We are planning to return to our usual ways of teaching this autumn including on-campus activities for your course. However, it's still unclear what the government requirements on social distancing and other restrictions might be, so please keep an eye on our Covid-19 pages for further updates as we get closer to the start of the autumn term.
You will be required to have:
You will also be considered if you have:
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.
Any university-level qualifications or relevant experience you gain prior to starting university could count towards your course at London Met. Find out more about applying for Accreditation of Prior Learning (APL).
To study a degree at London Met, you must be able to demonstrate proficiency in the English language. If you require a 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.
The modules listed below are for the academic year 2021/22 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.
Our Artificial Intelligence MSc provides a solid foundation for further qualifications in professional areas that require knowledge of applied mathematics, as well as further study at PhD level. The study of AI is both challenging and hugely rewarding. Learning about the process of extracting, acquiring and growing our knowledge has a great impact on our understanding of how human intelligence works.
AI also applies to many areas of the computer science industry where most extensive data processing, electronic communication or software development takes place. As a result, this MSc qualification will provide you with increased career opportunities than those of traditional computer and data scientists, or computer, software and network engineers. Knowledge of AI solutions will enhance your job prospects with businesses such as online retailers, fintech companies, corporate enterprises, technology start-ups, electronic entertainment vendors and network service providers.
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.
Use the apply button to begin your application.
If you require a Student visa and wish to study a postgraduate course on a part-time basis, please read our how to apply information for international students to ensure you have all the details you need about the application process.
You are advised to apply as early as possible as applications will only be considered if there are places available on the course.To find out when teaching for this degree will begin, as well as welcome week and any induction activities, view our academic term dates.
Please select when you would like to start:
The local air-quality monitoring system (LAMS) recently won the Climate and Environment category in the Big Idea Challenge.
Data Analytics MSc students Stephanie Healy Fabrega and Indrajitrakuraj Ravi have been employed on a research project.
Two students have been hired to work alongside London Met lecturer Sandra Fernando on a major data analysis project, giving them real-life work experience alongside their degrees.
A new research project will see a London Met student work with academics on data analysis across the Computing departments of higher education institutions.
Cyber Security student Dipo Dunsin has been hired to advance the project as part of London Met's commitment to providing students with valuable work experience for their future careers.
Professor of Computing and Knowledge Exchange, Director of Research and Enterprise for the School of Computing and Digital Media