London Metropolitan University

Course Introduction

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.

Professional accreditation

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.

After the course

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.

Start Date:

2020-SEP-21. 2020-SEP-21.

Duration & Attendance Qualification Tuition fees Fee type
1 year
Full Time
MSc £8,950 Home Fees
1 year
Full Time
MSc £8,950 European Fees
1 year
Full Time
MSc £13,250 Overseas Fees
2 years
Part Time
MSc Home Fees
2 years
Part Time
MSc European Fees
2 years
Part Time
MSc Overseas Fees

Qualifications required:

  • Domestic 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.
  • International 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. English Requirement - You need to have: overall academic IELTS score of 6.0 including Listening: 5.5, Reading: 5.5, Writing: 5.5, Speaking: 5.5; Pearson Test of English (PTE) Academic Component scores required: Listening: 51; Reading: 51; Writing: 51; Speaking: 51; Cambridge English - Certificate of Proficiency overall grade required: C. A certifying statement of results is also required.