UCL Opens Applications for Gatsby Bridging Programme 2026 | Intensive Mathematics Summer School for Future STEM Researchers

April 2026, London – University College London (UCL) has launched applications for the Gatsby Bridging Programme 2026, an intensive 7‑week mathematics summer school aimed at equipping students with the foundational mathematical skills needed for advanced research in theoretical neuroscience and foundational machine learning.

The programme, held in London from 22 June to 7 August 2026, offers a rigorous curriculum tailored to students whose undergraduate or master’s degrees do not provide deep training in the advanced mathematics required for these fields. It is organised by the Gatsby Computational Neuroscience Unit at UCL and funded in part by the Gatsby Charitable Foundation with the goal of broadening access and diversity in STEM research.

What the Gatsby Bridging Programme Is

The Gatsby Bridging Programme is a full‑time summer school that focuses on building mathematical intuition and confidence through lectures, tutorials, and problem‑solving sessions. Participants dive deep into core topics essential for research careers in theoretical and computational disciplines. Over the seven weeks, the syllabus covers:

• Linear algebra, including eigenvalues and eigenvectors
• Calculus and multivariate optimisation
• Probability theory and statistical inference
• Ordinary differential equations and dynamical systems
• Fourier analysis and convolution fundamentals

This structured methodology ensures that students build a proof‑based understanding of these subjects from first principles — a skill set highly valued in advanced computational work.

Who Should Apply

The programme targets students who want to pursue postgraduate research in:

• Theoretical neuroscience
• Foundational machine learning
• Computational science fields requiring strong mathematical foundations

Eligible applicants include:

• Penultimate or final‑year undergraduates
• Master’s students and recent graduates
• Students whose degrees did not include rigorous mathematical training
• Candidates with strong academic records and keen interest in STEM research (University College London)

Applicants must also demonstrate excellent performance in past mathematics courses equivalent to high‑level secondary or early university training and have good English proficiency.

Programme Experience & Commitment

The Gatsby Bridging Programme is in‑person only and requires full engagement throughout the summer. Sessions run Monday through Saturday, typically from late morning to late afternoon. Participants also contribute feedback on the programme at its conclusion. (University College London)

Although the programme focuses exclusively on mathematical foundations, it is not a lab‑based research experience; rather, it prepares students to succeed in mathematically intensive research environments. (University College London)

Dates & Deadlines

• Programme period: 22 June – 7 August 2026
• Applications open: 19 January 2026
• Application deadline: 16 February 2026
• Notification of outcome: by mid‑April 2026
• Offer acceptance deadline: about one week after notification (University College London)

Admissions are competitive, and the review process evaluates academic potential, mathematical background, and suitability for research pathways.

Financial & Participation Details

There are no programme fees, but students are expected to cover their own:

• Travel to and from London
• Accommodation and living costs
• Subsistence expenses (University College London)

However, a limited number of bursaries are available to assist students who may otherwise face financial barriers to participation. These bursaries can cover shared accommodation and travel expenses for eligible applicants on a needs basis.

Why It Matters

The Gatsby Bridging Programme helps bridge gaps in mathematical preparation for students who aspire to pursue advanced research but lack the rigorous mathematical foundation needed for success in competitive fields like theoretical neuroscience and machine learning. By providing a focused and immersive environment, the programme equips the next generation of researchers with the confidence and skills needed to excel academically and professionally.