Artificial Intelligence (Conversion) (Taught)

Course summary

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. Programme 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. 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.

Assessment method

Modules are assessed through a combination of coursework and written examinations. You will undertake a large project where you will demonstrate AI skills in an applied scenario.

Entry requirements

A 2:1 or above at undergraduate level in a degree not related to Computer Science, Software Engineering, Information Technology or Electronic Engineering.

Fees and funding

Tuition fees

No fee information has been provided for this course

Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .