Maths into Data Science and AI (For students not studying A level Mathematics) has arrived for students from any discipline to discover new and exciting areas, including machine learning and artificial intelligence (AI).
Artificial Intelligence is shaping the future, and it’s built on mathematics – your students can now discover how to make those connections clear, engaging, and relevant to their areas of study.
Built upon MEI’s popular Data Science Taught Course, the AMSP programme aims to equip young people with the skills that underpin AI, ensuring they understand how the maths and statistics behind machine learning relate to real-world problems and are prepared for future study and careers.
Maths into Data Science and AI now includes a variation of the course specifically designed for students not studying A level Mathematics. Across nine online sessions, students will be introduced to the maths and statistics behind machine learning and artificial intelligence, giving them the chance to explore these fast-growing fields and see how mathematical thinking is shaping the technologies of the future at an exciting time for AI innovation.
This course is ideal for students looking for a more hands-on approach to learning, as they will develop coding skills in Python, as well as data analysis, modelling and ethical AI.
Find out more and register now
A level Mathematics students can still get involved
The Maths into Data Science and AI (For A level Mathematics students) is also returning for an 11-week online programme for students studying A level or Further Mathematics. This programme offers a deeper exploration of the mathematical ideas that drive AI and data science.
Participants will develop practical skills in data analysis, modelling, and ethical AI through hands-on Python coding and work with real-world datasets from areas such as the environment, sport, commerce, and demographics. The course covers topics including data preparation, exploratory analysis, machine learning models, and the ethical challenges of bias in AI.
Demand was high last term, so students are encouraged to register promptly to avoid missing out.
