A Mathematical Sciences Curriculum in the Age of AI is a workshop part of the IMA’s Higher Education Teaching and Learning Series for 2025/26 to be held at University College London (UCL) on Monday, 1 June 2026.

The rapid development of generative AI is transforming what it means to study and apply mathematics and statistics. Tasks that were once thought of as fundamental for the discipline, including symbolic manipulation, computation, and even aspects of data analysis and interpretation, can now be automated or simulated. This raises a fundamental question: what is the purpose of a mathematics or statistics degree in the age of AI, and how should this shape what and how we teach?

In this workshop we will examine:
  • What knowledge, skills, and habits of mind are still essential to the mathematical sciences?
  • How should we be teaching, including the potential for AI to support deeper mathematical learning, and how do we help students develop productive, critical and ethical engagement with AI?
This event aims to keep up momentum from the recent The Future of Mathematics Higher Education event and produce concrete recommendations for curriculum change.

The registration deadline is 11th May. See the registration website for more details.

Schedule



Below is the timetable for the day.

Time Monday
9:30 - 10am Registration and Refreshments
10 - 10:15am Welcome and Introduction
10:15 - 11:00am Keynote
11 - 11:15am Break
11:15am - 12:30pm Plenary Talks
12:30 - 1:30pm Lunch
1:30 - 2:20pm Roundtable 1 *
2:20 - 2:50pm Break – tea and coffee
2:50 - 3:40pm Roundtable 2 *
3:45 - 4pm Summary and Closing Remarks

* There are three parallel roundtables themed around the plenary talks. Participants will be able to attend two roundtables.

Speakers


Keynote Speaker:
    Professor Michael Grove, University of Birmingham
Plenary Speakers:
    Dr Chris Birkbeck, University of East Anglia
    Dr Jenn Gaskell, University of Glasgow
    Dr Liz Munday, University College London

Registration

Register for the workshop here. The registration deadline is 11th May.

Lunch and refreshments will be provided.

Location

1-19 Torrington Place, University College London, London, WC1E 7HB, Lecture Theatre 115

Getting to 1-19 Torrington Place
If you are not familiar with UCL and Torrington Place, you can find a map here . The closest tube stations are Goodge Street (2 minute walk), Warren Street (5 minute walk), Euston Square (10 minute walk) or Euston (12 minute walk). Please use the main entrance (///edgy.having.weep) and sign in at reception. You will need to show ID to enter the building. Once signed in, please make your way to the first floor and follow the signs to Lecture Theatre 115.

Queries

For any enquiries, please get in touch with Ruth Reynolds at ruth.reynolds@ucl.ac.uk or Takoua Jendoubi at t.jendoubi@ucl.ac.uk.

Organizers

The workshop is co-organized by the UCL Mathematics and the UCL Statistical Science.

UCL Mathematics
  • Cecilia Busuioc
  • Ruth Reynolds
  • Benjamin Walker
UCL Statistical Science
  • Niloufar Abourashchi
  • Andres Benchimol
  • Alex Donov
  • Nuru Giritli
  • Takoua Jendoubi
  • Laura Johnston
  • Elinor Jones
  • Chak Hei Lo
  • Matina Rassias
  • Cemil Selcuk
  • Ilina Yozova