ºüÀêÊÓƵ

Close icon

Personalise what you see on this page.

Choose from the options below. We'll show you information based on your current location as default.

I'M FROM

  • Hong Kong
Please select so we can show the most relevant content.

LIVING IN

  • Hong Kong
Please select so we can show the most relevant content.

LOOKING FOR

  • Undergraduate courses
Please select so we can show the most relevant content.
Viewing as a student from Hong Kong living in Hong Kong interested in Undergraduate courses

Artificial Intelligence MSc

Queen Mary University of London

Add to favourites
Queen Mary University of London

Course options

5 options available

  • Qualification

    MSc - Master of Science

  • Location

    Mile End

  • Study mode

    Full time

  • Start date

    15-SEP-25

  • Duration

    1 year

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.

What you'll study

This MSc allows you to focus your studies and combine different AI topics to suit your personal requirements and future plans. Our world-class teaching, research, and industrial contacts will support you as you learn to understand fundamental AI concepts. You will study universal machine learning tools essential for any AI job profile, as well as specific practical and research skills across various AI topics.

You will gain experience with cutting-edge tools such as Deep Neural Networks (DNN), Deep Reinforcement Learning (Deep RL), and Large Language Models (LLMs) through regular exercises and practical labs. You will work closely with your lecturers and supervisors to carry out a major project on the AI topic you wish to specialise in.

The MSc Artificial Intelligence (AI) is structured in two different streams.

All students will study a set of compulsory modules that cover the fundamentals of machine learning, artificial intelligence, natural language processing, and ethics, regulation, and law in digital information processing and decision making.

In addition to the compulsory modules, you will choose one educational stream of elective modules during Welcome Week, based on your interests.

Application deadline

09 September 2024

Tuition fees

Students living in Hong Kong
(International fees)

£ 33,500per year

Tuition fees shown are for indicative purposes and may vary. Please check with the institution for most up to date details.

University information

Queen Mary University of London

Queen Mary University of London

Queen Mary University of London

  • University League Table

    50th

  • Campus address

    Queen Mary University of London, Admissions and Recruitment Office, Mile End Road, London, Tower Hamlets, E1 4NS, England

VIEW PROFILE
Students can experience campus life while living in London, the best student city in the world.
Research at Queen Mary is world-leading across disciplines, with its academics making a major impact across all subject areas.
Queen Mary is truly inclusive, with multiple nationalities represented on its campuses.

Subject rankings

  • Subject ranking

    Computer Science

    27th out of 117 4

  • Entry standards

    / Max 227
    151 66%

    32nd

  • Graduate prospects

    / Max 100
    83.0 83%

    52nd

    6

  • Student satisfaction

    / Max 4
    3.02 76%

    52nd

    15

Is this page useful?

Yes No

Sorry about that...

HOW CAN WE IMPROVE IT?

SUBMIT

Thanks for your feedback!