Artificial Intelligence

  • //applyindex.com/wp-content/uploads/2023/11/United-Kingdome.png UK
  • University/Institute Name Queen Mary University of London
  • Attendance Type On Campus (Full Time)
  • Position Duration1 year
  • Application deadlineSep 2026

Position Details (Master's)

If you are looking to pursue a career in this booming field, thisArtificial Intelligence programat Queen Mary University of Londonwill give you the skills you need, as it is designed to maximise employability across a wide spectrum of industrial and academic posts related to AI. This MSc has been developed with the support of theInstitute of Coding.

What you'll study

This Artificial Intelligence programat Queen Mary University of London 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), Recurrent Neural Networks (RNN), and Deep Reinforcement Learning (Deep RL), via regular exercises and practical labs. You will work closely with your lecturers and supervisors to carry out a major project on the AI topic that you want to specialise in.

Career paths

The demand for qualified experts in artificial intelligence is high; AI jobs areamongst the best paid in the industry, and a solid background in AI is highly desirable in many research disciplines.

Software Developer/Engineer, Data Scientist and Data Engineer are occupations that have seen a significant growth in demand for AI skills, according to a recent report fromLightcast. AI skills will also be integral for many'jobs of the future'emerging across a diverse range of fields, including health, agriculture and the creative industries.

Courses include:

  • Machine Learning
  • Artificial Intelligence
  • Applied Statistics
  • Ethics, Regulation and Law in Advanced Digital Information Processing and Decision Making
    • Deep Learning and Computer Vision
    • Advanced Robotics Systems
    • Cognitive Robotics

    Research Areas & Fields of Study involved in the position

    Position Start Date

    Sep 2026