The Gatsby Bridging Programme is a mathematics summer school for undergraduates and Master’s students (incl. recent graduates) who aspire to pursue a postgraduate research degree in Theoretical Neuroscience and/or Machine Learning but whose predoctoral degree(s) do not have a strong mathematical focus. During the programme, you will develop mathematical intuitions and learn the mathematics skills necessary to enter these fields.

The UCL Gatsby Bridging Summer School 2025 is a fully funded summer program designed for students interested in pursuing postgraduate research in Theoretical Neuroscience and Machine Learning but whose academic background lacks strong mathematical training. The program provides intensive mathematics instruction to help participants develop the necessary skills for these fields.

Benefits

The UCL Gatsby Bridging Summer School covers:

  • Accommodation
  • Breakfast & Dinner
  • Travel Expenses (to and from London)
  • 6-Month UK Standard Visitor Visa Fee
  • No Program Fees

Requirements

  • Penultimate- or final-year undergraduate students and Master’s students (including recent graduates)
  • Students whose degrees do not provide strong mathematical training
  • Candidates from underrepresented groups in STEM are especially encouraged to apply

Selection Process

Selection is based on:

  • Interest in postgraduate research in theoretical neuroscience and/or machine learning
  • Educational background (must lack advanced mathematics training)
  • Academic excellence and potential
  • A-level (or equivalent) mathematics knowledge
  • English proficiency
  • Commitment to full-time participation in the program

Application Documents

  1. Complete the official application form (accessible via the provided link).
  2. Submit required documents:
    • Degree Transcripts
    • CV or Resume
    • Letter of Motivation
  3. Review the list of application questions before starting, as progress cannot be saved.
  4. Submit your application before the deadline.

Method of Application

Click Here to Apply

For More Information,

Visit the Official Webpage

Application Deadline: February 7, 2025.