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Artificial Intelligence at Queen Mary University of London - UCAS

Course options

There are other course options available which may have a different vacancy status or entry requirements – view the full list of options

Course summary

Our MSc in Artificial Intelligence opens doors to a thriving AI career. Explore key topics—agents, vision, and language—supported by leading research groups. With a strong emphasis on practical machine learning, this programme boosts your employability. From advanced AI, such as Large Language Models, to AI applications in Creative Domains, it provides top-tier expertise for high-demand roles. Join us to master essential skills for success in both the AI industry and academia.

  • Develop systematic awareness of the current development of AI, themed around the most popular AI topics.
  • Choose from two distinct study streams to graduate with expertise suited to your chosen career path.
  • Work with the up-to-date technologies being pioneered by our research centres and groups.
  • Students on this programme full time may be eligible for the DeepMind Scholarship.

Modules

Please refer to our website

Assessment method

Please refer to our website


How to apply

International applicants

Please see: www.qmul.ac.uk/international-students

Entry requirements

A 2:1 or above at undergraduate level in Electronic Engineering, Computer Science, Mathematics or a related discipline.


English language requirements

All applicants to Queen Mary must show they meet a minimum academic English language standard for admission and to be successful on the course. Please refer to the website below for details on our English Language requirements by course and acceptable alternative qualifications. You will also find important information regarding UKVI's English requirements if you are applying as an international student and will require Tier 4 immigration permission to enter the UK.

Queen Mary University of London: English Language Requirements

http://www.qmul.ac.uk/international/englishlanguagerequirements


Fees and funding

Tuition fees

No fee information has been provided for this course

Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .

Additional fee information

Students enrolling on a postgraduate degree programme are charged tuition fees each year by Queen Mary. The rate you will be charged depends on whether you are assessed as a Home/EU or Overseas student. You can find tuition fees for each course on the course finder pages on our website by clicking the apply link, or navigate here: https://www.qmul.ac.uk/postgraduate/ Further details about postgraduate taught tuition fees can also be found on our website: https://www.qmul.ac.uk/postgraduate/taught/tuitionfees/

Sponsorship information

Please see: www.qmul.ac.uk/scholarships

Artificial Intelligence at Queen Mary University of London - UCAS