Artificial Intelligence MSc

Queen Mary University of London

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 studyThis 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.

School of Electronic Engineering and Computer Science