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 data

Go to resource 

Try working in urban regeneration

Problem solving using number and measurement

Go to resource 

Try being a freelance filmaker

Percentages, ratio and budgeting

Go to resource 

Try working for a cause you are passionate about

Critical analysis

Go 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 CourseOpens a new window 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, Presenter

Watch video Opens a new window

Rachel

The Met Office

Watch video Opens a new window

Suhmita

Kantar - Media Division

Watch video Opens a new window

Andrew

Epidemiologist – University of Cambridge

Watch video Opens a new window

Tim

Liverpool FC

Watch video Opens a new window

Rachel

GlaxoSmithKline – Machine learning

Watch video Opens a new window

Rachel

GlaxoSmithKline – What makes a good Data Scientist?

Watch video Opens a new window

Visualising inequality (by hand) resources

These resources provide opportunities for students to explore economic inequality data and graphs, and to consider how hand-drawn data visualisations can be used to tell a story with data. They also link to careers and highlight the importance of mathematical skills in Social Science.