Mathematical Sciences Modelling Course for Business, Industry, and Government - January 2027

Key Information

Date(s): Tuesday 12 - Friday 15 January 2027

Times: Activities will typically run between 09:00 and 17:30, with a later start on Day 1 and an early finish on the final day. Further details will be provided to registered participants.

Location: In-person (Mathematical Institute, University of Oxford)

Deadline for registrations: Tuesday 1 December 2026 (17:00)

Course fees

• Single delegate registration rate for BIG partners* - £1,750
• 3-for-2 delegate registration rate for BIG partners - £3,500**
• Single delegation rate for non-BIG partners - £2,000

*It is free for organisations to join the KE Hub's BIG partnership. If your organisation wishes to join the partnership and take advantage of the discounted rate, find out more and apply here. Please note that your membership must be confirmed before you can purchase a place at the discounted rate. Bookings made by organisations that are not confirmed KE Hub BIG partners using the discounted rate may be cancelled.

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**If booking three delegates from a BIG Partner organisation, enter the discount code BIG3FOR2 at checkout to claim the 3-for-2 offer. This code is only valid for bookings of three delegates from a BIG Partner organisation. Bookings that do not meet these criteria will be cancelled. Due to system rounding, the final discounted total will be £3500.01

What's Included

• Four-day in-person course.
• Expert mentoring from academic specialists.
• Lunch and refreshments throughout the course.
• One course dinner.
• Networking opportunities with fellow participants and mentors.

What’s not included

Accommodation and travel are not included.

​Eligibility

This course is suitable for professionals working in business, industry and government who hold a first degree in the mathematical sciences or a cognate numerate discipline.

Course details

Overview

This Mathematical Sciences modelling course for Business, Industry, and Government is aimed at innovators and practitioners in industry who are keen to get hands-on experience of using techniques from the mathematical sciences to build and solve models to address R&D or operational questions.

Based on the highly successful UK Graduate Modelling Camp, this course has been designed to develop a broad range of problem-solving skills. Participants will work with experienced academic mentors on problem assessment, building mathematical-science-based models, model solving, and critical assessment of solutions.

Purpose of the Course

The course is designed to strengthen participants' ability to apply mathematical sciences techniques in professional settings.

Through an immersive team experience, delegates will gain practical experience of:

• problem formulation and assessment;
• mathematical model development;
• model solution and interpretation;
• critical assessment of model solutions;
• scientific communication and team-based problem solving.

Participants will be encouraged to work on challenges outside their normal area of expertise, helping them develop adaptable problem-solving skills that can be applied across a wide range of sectors.

Course Format

The course takes place over four days and is delivered in person in Oxford. It provides experiential learning under the guidance of an experienced expert mentor from academia.

On the first morning of the course, each mentor will present a challenge. Participants will then form teams and select one challenge to work on for the remainder of the week.

Working under mentor guidance, teams will tackle their chosen challenge for the remainder of the week, building and solving mathematical models and preparing presentations of their work.

Scientific communication forms an important part of the experience and participants will deliver presentations twice during the course.

The course is led by Professor Chris Breward (Scientific Director of the KE Hub and applied mathematician from the University of Oxford). He has extensive experience of building and solving mathematical models across a vast array of applications and has led the UK Graduate Modelling Camp since 2010.

Further course information such as intended learning objectives, challenge information and mentor profiles are available on the KE Hub website.

Pre-course tasks

Details of any pre-course tasks be shared with registrants in the second week of December.

Registration

Delegate details

When making a booking, the following details will need to be provided for each delegate:

• Organisation
• Is your organisation a KE Hub BIG Partner
• Name
• Email
• Job title
• Gender (Options: Male, Female, Other, Prefer not to say)
• Access requirements
• Dietary requirements

Code of Conduct

By registering for the course, participants agree to abide by the KE Hub Code of Conduct and, in addition, to

• Treat everyone with respect
• Strive to collaborate effectively.
• Communicate openly.
• Raise any issues as soon as possible with your mentor or the organising team.
• Share tasks fairly.
• Value diversity and promote a welcoming environment.

Cancellation policy

• Cancellations received on or before 17:00 on Tuesday 1 December 2026 (the registration deadline) will receive a full refund.
• Cancellations received after the registration deadline and on or before 17:00 on Tuesday 15 December 2026 will receive a refund of 50% of the fee paid.
• Cancellations received after 17:00 on Tuesday 15 December 2026 are not eligible for a refund.

Substitutions from the same organisation may be permitted at the discretion of the organisers.

If insufficient registrations are received, the organisers reserve the right to cancel the course. In the event of cancellation by the organisers, a full refund of the course fee will be provided. The organisers cannot accept liability for travel, accommodation or other costs incurred by delegates.

Data privacy notice

• We will use your personal data only for the purpose of administering and delivering your place at the Mathematical Sciences Modelling Course for Business, Industry, and Government.
• For full details on how the KE Hub uses personal data, please see our Privacy Notice.
• We may share data with third parties only where necessary for event administration and delivery (e.g. attendance lists, dietary information and access requirements may need to be shared with venue team).

Any questions?

Please email kehub@bristol.ac.uk