delivered by Make Oxford

Curious to learn how to make a product from scratch? Ever wondered how to turn your idea or sketch into reality?

This series delivered by Make Oxford will introduce the technologies and machinery involved in the manufacture of products, using digital fabrication techniques including 3D printing, laser cutting and more.

The Foundry is excited to partner with MakeOxford, a project of The Oxford Trust, to offer students this unique opportunity to explore, learn and get 'hands on' with emerging technologies and machinery.

Michaelmas Term


  • 16th October: To Make or Not to Make – That isn’t the question - This introductory session will look at the design of a product from scratch and the different approaches and options available when considering pretotyping and prototyping.


  • 30th October: Form & Function - Designing for modern manufacturing This Make Oxford session will introduce the rapidly changing landscape of Computer Aided Design (CAD); an essential skill in turning ideas into reality. The Autodesk team, lead by Harv Saud, will guide you through the principles of using CAD from your first ideas to a useable file ready to print. Sign up now>>


  • 13th November: Getting started with microcomputers – Get Creative, Get Connected, Get Coding What is a is a microcomputer? Why should you learn to use them? This session will introduce you to the rapidly expanding world of the microcomputer; a crucial tool in learning to code and prototype devices to achieve real world solutions. Understanding this small but powerful kit is essential learning.


  • 27th November:  Getting hands on – Translating learning into action! This extended 3-hour session in Make Oxford will give you the opportunity to pre-select your preferred ‘stream’ of hands-on activity using your own project or pre-designed learning based on previous sessions. Activities will include; Designing with CAD, preparing and printing using 3D printers, Preparing, cutting and assembly using laser cutter, Programming Micro:Bit microcomputer with Python.