Mathematical Modelling

Explore approaches to teaching engineering mathematics through modelling, real-world applications and more integrated curriculum design.

Course overview

This two-day course supports educators to rethink engineering mathematics through modelling, real-world problems, and authentic application. Drawing on curriculum innovation and research from UCL’s Integrated Engineering Programme, it explores how mathematics can be taught as a tool for analysis, judgement, and problem-solving in complex systems. Participants will examine how to connect mathematical concepts to engineering practice, integrate problem-based approaches, and design aligned teaching and assessment. They will leave with practical strategies and a transformation blueprint for strengthening mathematics within engineering and STEM curricula.  

Dates: Thursday 9th July 2026 - Friday 10th July 2026.

Subject to availability, registration will close on Wednesday 29th June.

Our UCL East campus, where this course will take place, is on Queen Elizabeth Olympic Park at East Bank in Stratford in east London: an iconic UCL location in one of the most exciting cities in the world.

East Bank is the UK’s newest culture and innovation quarter, backed by the Mayor of London and a legacy of the London 2012 Olympic and Paralympic Games. UCL is a founding partner in East Bank, along with other global institutions like the BBC, V&A, Sadler’s Wells and London College of Fashion, UAL.

The campus is well connected by public transport and just minutes away on foot from the cafes and bars of Hackney Wick or world class sport, entertainment and shopping venues.

Who should attend?  

This course is designed for:  

  • Engineering mathematics lecturers.
  • STEM educators teaching mathematically intensive subjects.  
  • Programme directors and curriculum leaders.  
  • Those redesigning mathematics within engineering degrees.  
  • Those seeking modelling-led, practice-based approaches to mathematics teaching.   

What participants will gain  

Participants will leave with: 

  • Stronger understanding of mathematics as a modelling discipline.  
  • Practical approaches to aligning outcomes, teaching, and assessment.  
  • Greater confidence in designing authentic problem-based activities.  
  • Strategies for assessing modelling, rigour, and justification in AI-rich contexts.  
  • A module transformation blueprint for implementation.   

Indicative programme snapshot  

  • Mathematical modelling in engineering education.  
  • Connecting concepts to real-world engineering problems.  
  • Designing problem-based learning activities.  
  • Assessment for modelling, analysis, and justification.  
  • Developing a module transformation blueprint.   

Want to participate in this course?

Visit the UCL Online Store to book your space today!

Reserve your place