Overview
This live online course introduces A level Mathematics and Further Mathematics teachers to the maths and statistics behind machine learning and artificial intelligence (AI). Through hands-on activities using tools like Desmos and Python, teachers will explore data analysis, predictive modelling, and the role of maths in AI—while gaining ideas and resources to enrich classroom teaching.Aims
- To develop teachers' understanding of how mathematics and statistics underpin machine learning and artificial intelligence (AI)
- To demonstrate how ideas related to machine learning and AI can be integrated into the teaching of A level Mathematics and Further Mathematics
- To enable teachers to enrich students’ learning using technology-based tools and techniques
Who will benefit from attending?
Any teacher who is interested in how the content of A level Mathematics/Further Mathematics is used in machine learning/AI or who wishes to make great use of technology-based tools in their teaching of data and statistics.Content
All the sessions will feature information about how maths and data skills are used in data science/AI as well as learning activities that can be used in A level Maths/Further Maths classrooms. Individual sessions will feature aspects of:
- Data analysis: how to use technology tools such as Desmos and Python for exploring data
- Machine learning: how to use data to build predictive models and how machine learning algorithms work
- Artificial intelligence: the importance of maths and data in the construction of AI
Materials and equipment
The live online lessons will take place in Zoom webinars. The technology tasks will use free web-based platforms such as Desmos or Kaggle.Eligibility
This course is only open to teachers of A level Mathematics/Further Mathematics students from state-funded schools, colleges and academies in England.
We will be launching a version of the course aimed at Computing teachers later on in the spring term. We will also be repeating the course for Mathematics teachers again in the summer term.
Cost
This course is free, and teachers will be eligible for a subsidy of £350 to contribute towards travel and cover costs for attending the study day.Study schedule
This course will be held over 5 online sessions at 16:30 - 17:45 on Wednesdays and 1 face-to-face study day. The first session will take place on Wednesday 4th February, teachers can choose to attend a face-to-face study day in late February/early March in either Manchester or London.
Live online sessions
Live online sessions take place on Wednesdays from 16:30 - 17:45; these are recorded and available for playback:
- Wednesday 04 February
- Wednesday 11 February
- Wednesday 11 March
- Wednesday 18 March
- Wednesday 25 March
Study Days
Study days are face-to-face events that start at 10:00 and finish at 16:00, with lunch and refreshments provided.
Participants are expected to attend the face-to-face study day. Before applying, please ensure that you will be able to organise any necessary supply cover. A subsidy of £350 is available for teachers who attend the study day to contribute to travel and cover costs.
Applicants will be asked to select their order of preference from the following options:
Group A
Manchester
Wed 25 Feb 2026
Group B
Central London
Tue 03 Mar 2026
Group C
Central London
Wed 04 Mar 2026
It may be possible to switch between groups once the course has started, subject to capacity.
FAQs
Do I need to know Desmos/Python before I start the course?
No. No prior knowledge is expected; all support needed will be given.
Is any additional software needed for the course?
No. All the tools used are free and web-based.
Am I eligible for the subsidy of £350?
All teachers from state-funded schools/colleges in England can claim £350 to contribute towards travel/cover costs if they attend the face-to-face study day.
Key facts
- Reference:#14476
- Audience:Teachers
- Curriculum focus:A level Mathematics
- Format:Blended
- Duration:3 months
- Study days:1
- Online sessions:5
- Region:National
- Fee:Free, with a £350 subsidy for teachers
Queries?
If you have any queries about this event, please do not hesitate to contact:
The Operations Support Team
[email protected]
01225 776 776