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MSc Artificial Intelligence

  • Postgraduate
  • London
MSc Artificial Intelligence
London Metropolitan University

Course Overview

Intake

January 2027

Duration

1 year

Course Description

The Artificial Intelligence MSc is designed for those looking to advance or launch a career in the computer science, data, or software engineering industries. This course is ideal for individuals eager to transform the relationship between people and technology, positioning themselves at the forefront of the digital revolution across sectors such as science, engineering, business, and entertainment. Students will gain expertise in developing AI software, applying AI methods, and constructing autonomous devices. A distinctive feature of this programme is its focus on security, including information, network, and cyber security analytics. The curriculum combines fundamental and specialist modules, culminating in a dissertation project that can be linked to the institution's research centres or industry partners. Available in full-time (1 year) and part-time (2 years) modes, this course provides a solid foundation for professional roles or further PhD study. Graduates will be well-equipped to meet the growing industry demand for AI specialists, benefiting from the institution's strong links with the fintech sector.

Tuition Fee Details

The tuition fee for UK home students is £11,000 per year for full-time study. For part-time study, the fee is £1,225 per 20 credit module. The university reserves the right to increase the tuition fees in line with changes to legislation, regulation and any government guidance or decisions. More information on the latest fee can be found on the institution website.

Course Structure

AI Vision and Deep Learning

20 Credits

Advanced AI Technologies

20 Credits

Artificial Intelligence

20 Credits

Cloud Computing and the Internet of Things

20 Credits

Data Warehousing and Big Data

20 Credits

MSc Project

60 Credits

Machine Learning

20 Credits

Frequently Asked Questions

Graduates can pursue roles as AI specialists, data scientists, software engineers, and cyber security analysts across various sectors including fintech, retail, and technology.