The UCL Gatsby Bridging Summer School 2026 is a 7-week intensive mathematics programme hosted by the Gatsby Computational Neuroscience Unit at University College London (UCL), UK.
The programme is designed for students who are interested in pursuing postgraduate research in theoretical neuroscience and foundational machine learning but need stronger mathematical preparation.
The curriculum includes advanced training in:
- Calculus
- Linear Algebra
- Probability
- Ordinary Differential Equations
- Fourier Analysis
The programme takes place in London, United Kingdom, and is delivered through lectures, tutorials, and problem-solving sessions.
Eligibility
Applicants must:
- Be undergraduate students (penultimate or final year), Master’s students, or recent graduates
- Have a strong interest in theoretical neuroscience or machine learning research
- Have prior mathematics knowledge (equivalent to A-level mathematics or similar)
- Be able to participate fully in the 7-week in-person programme in London
- International students from all countries are eligible
Students from low-income or underrepresented backgrounds are especially encouraged to apply.
Benefits
There are NO programme fees and NO tuition fees to attend the Gatsby Bridging Summer School.
Limited bursaries are available to support students facing financial barriers.
For selected bursary recipients, the programme may cover:
- Accommodation in London
- Breakfast and Dinner
- Travel expenses to and from London
- 6-Month UK Standard Visitor Visa application fee
Deadline
Application Deadline: Mid-February 2026 (Applications typically close around mid-February. Early application is strongly recommended.)
Programme Dates: June – August 2026 (7 weeks)
How to Apply
Applications must be submitted online through the official UCL Gatsby Bridging Programme website.
Applicants are typically required to submit:
- Completed online application form
- Academic transcripts
- Personal statement/motivation statement
- Details of mathematics background
Prepare all documents before starting the application, as some online systems may not allow saving progress.
