Where maths meets... the world of work!
On this webpage, you'll find videos and activities to use in class with your students. The activities all contain contextualised teaching points linked to careers and will help you to achieve Gatsby Benchmark 4 (linking careers to the curriculum). Some of the activities are written by employers and so are particularly authentic.
World of work resources
The AMSP is working on exciting sets of resources, which showcase the maths in different careers. Each resource contains a video paired with activities, so your students can get a real taste of what the job may entail.
There are four different versions of each resource available so they can be used with students all the way from Upper KS2 to KS5. Each comes with a presentation, teacher notes and optional printables.
The video and accompanying activities have been designed so that they can be completed in one hour but there are plenty of opportunities to extend them further or use as part of home learning.
Try being a Data Detective
Interpreting dataGo to resource
Try working in urban regeneration
Problem solving using number and measurementGo to resource
Try being a freelance filmaker
Percentages, ratio and budgetingGo to resource
Try working for a cause you are passionate about
Critical analysisGo to resource
Insight into careers in Data Science
In this series of short videos, you'll hear from six practising Data Scientists about what they do in their roles. Not only will you learn about the skills and qualities that a Data Scientist needs, you'll also discover how Data Science plays a big part in our everyday lives: from sport to climate change, and from understanding our media viewing habits to how diseases spread.
In the first video, Dr Hannah Fry gives an overview of how valuable Data Science is and how she uses it to spot patterns in human behaviour.
The videos come from MEI's free online self-study Introduction to Data Science Short Course which is suitable for A level Mathematics and Core Maths students. Peoples' experiences of working in Data Science are fully integrated into the course, or you can view the videos below.
Dr Hannah Fry
Mathematician, Author, PresenterWatch video
The Met OfficeWatch video
Kantar - Media DivisionWatch video
Epidemiologist – University of CambridgeWatch video
Liverpool FCWatch video
GlaxoSmithKline – Machine learningWatch video
GlaxoSmithKline – What makes a good Data Scientist?Watch video