Queen Mary University of London

Course Introduction

This MSc AI programme offers the cutting-edge training you need to pursue a career in this booming field. It is specifically designed to maximise your employability across a wide range of AI-related industrial and academic posts; our programme covers all five of the hottest AI topics ? games, robotics, vision, music, and language ? with each topic supported by the knowledge and experience of the respective world-leading QMUL research groups.

This programme is specifically designed to maximise your employability on AI-specific job. The programme is: comprehensive - by covering all five of the most popular AI topics; up-to-date - where each topic is backed up by a world-leading group with cutting edge research; unique - by offering Game AI that represents some of the most advanced AI to date (e.g., AlphaGo); practical - by focusing on developing practical machine learning skills across all five AI topics

This MSc in AI brings together our teaching, research and industrial contacts to allow students to mix the different AI topics those best suits their personal requirements and future plans. Students will be offered lectures that explain the fundamental AI concepts, universal machine learning tools essential for any AI job profile, and specific practical and research skills on all five of the AI topics. Students 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. Students will be taught by world-renowned academics in their specific subject areas, and have regular contacts with them throughout the duration of the programme.

The industrial placement takes place from the September following the taught part of the MSc and is for a maximum of 12 months. It is your responsibility to secure a placement, but the School's Placement Team will provide support. The Placement Team source and promote suitable opportunities, assist with applications, and with interview preparation.

Start Date:


Duration & Attendance Qualification Tuition fees Fee type
2 years
MSc £10,350 Home Fees
2 years
MSc £10,350 European Fees
2 years
MSc £21,250 Overseas Fees

Qualifications required:

  • Domestic entry requirements: Students need an upper second class degree is normally required, usually in electronic engineering, computer science, mathematics or a related discipline. Students with a good lower second class degree may be considered on an individual basis. Applicants with unrelated degrees will be considered if there is evidence of equivalent industrial experience.
  • International entry requirements: International students require English language qualifications IELTS 6.5 or TOEFL 92 (internet based).
  • IELTS score: 6.5