Entry requirements

An 2:1 degree is normally required, usually in electronic engineering, computer science, mathematics or a related discipline. Applicants with unrelated degrees will be considered if there is evidence of equivalent industrial experience.

Months of entry


Course content

This programme aims at training those who would like to pursue a career in the booming field of Artificial Intelligence (AI). It uniquely covers all five of the hottest AI topics – games, robotics, vision, music, and language – each backed up by a respective research group at QMUL that is world-leading. Practical machine learning skill development is at the core of this programme, which is specifically designed to maximise employment potential across a wide spectrum of industrial and academic posts related to AI.

Both governments and industry have recognised the need for strategic development of AI, which is rapidly changing the way we live, work and learn. However, there is a real shortage of AI talents worldwide, both to serve the industry and drive future research. AI jobs are amongst the best paid in industry nowadays, while having a solid AI background is strongly desired in multiple research disciplines.

This MSc programme importantly recognises such need for training cutting-edge AI talents, and is specifically designed to maximise student employability. It achieves that by putting together a programme that is:
  • comprehensive, by covering all five of the most popular AI topics
  • up-to-date, where each topic 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.

The programme brings together our teaching, research and industrial contacts to allow students to mix the different AI topics that 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.

Information for international students

For international students we require English language qualifications IELTS 6.5 or TOEFL 92 (internet based).

Qualification, course duration and attendance options

  • MSc
    full time
    12 months
    • Campus-based learningis available for this qualification
    part time
    24 months
    • Campus-based learningis available for this qualification

Course contact details

School of Electronic Engineering and Computer Science
+44 (0)20 7882 7333