The English language requirements for our programmes are indicated by English bands, and therefore the specific test and score acceptable is based on the band assigned to the academic department within which your chosen course of study is administered. Note that for some academic departments there are programmes with non-standard English language requirements.
The English Language requirements for entry to postgraduate taught and research programmes in the School of Electronic Engineering and Computer Science falls within the following English band:
Band 4: IELTS (Academic) minimum score 6.5 overall with 6.0 in each of Writing, Listening, Reading and Speaking
We accept a range of English tests and qualifications categorised in our English bands for you to demonstrate your level of English Language proficiency. See all accepted English tests that we deem equivalent to these IELTS scores.
Introduction This MSc opens the door to a high-impact career enhanced by artificial intelligence. Designed for students from non-STEM backgrounds, our conversion programme equips you with the skills to confidently step into the world of AI. You'll explore key areas like Deep Learning, Neural Networks, and Ethical AI, while gaining hands-on experience with the latest industry tools. From building smart applications to analysing data and designing responsible AI solutions, you'll graduate with the expertise to thrive as an AI Specialist—ready to drive innovation across a range of industries. Highlights Build future-proof skills. Develop core knowledge in programming, machine learning, and data analysis—then apply it through real-world projects. Work with cutting-edge tools. Learn using the same technologies driving innovation in our leading research Centre for Multimodal AI . Study at a top-ranked university. Queen Mary is ranked in the Top 100 globally for Data Science and AI (QS World University Rankings by Subject 2025), underpinning it as a hub for AI excellence. Launch a high-growth career. Graduate ready for in-demand roles like AI Specialist, Machine Learning Engineer, or Data Analyst. What you'll study Throughout the programme, you'll build a strong foundation in programming, machine learning, and data analysis—supported by expert teaching and hands-on learning across essential AI topics. With carefully tailored content and dedicated support, we've created a learning experience that makes complex concepts accessible.
Throughout the programme, you’ll build a strong foundation in programming, machine learning, and data analysis - supported by expert teaching and hands-on learning across essential AI topics. With carefully tailored content and dedicated support, we’ve created a learning experience that makes complex concepts accessible.
You’ll start by developing core coding skills through Python programming for AI, no prior experience required. Modules in data analytics and statistics will build your confidence in handling, visualising, and interpreting data, providing the analytical backbone for more advanced AI work. Alongside technical training, you’ll engage with the ethical and societal implications of AI, learning how to create responsible and trustworthy AI solutions.
As the programme progresses, you’ll delve into key areas such as machine learning, deep learning, and neural networks, gaining practical expertise in advanced models used in real-world applications like image and speech recognition. You’ll also explore how AI is transforming industries, helping you identify where your skills can have the most impact.
Throughout the programme, regular lab sessions, tutorials, and applied exercises will ensure that theory is continually reinforced by practice. You’ll put your skills to the test through real-world use cases and a final MSc project applying AI to an area of your choosing, giving you the opportunity to specialise, innovate, and showcase your capabilities.