Computer Science

Exeter Machine Learning Summer School

Your gateway to AI innovation and excellence

We are pleased to present the Exeter Machine Learning Summer School, an intensive two-week programme designed to give students a strong foundation in modern machine learning, from core principles through to current research directions.

Over two weeks, participants will work through topic areas spanning the full breadth of modern machine learning, from foundational methods such as supervised and unsupervised learning, through to cutting-edge subjects including large language models, generative AI, and ethical and explainable AI. Each topic is delivered through a combination of lectures and hands-on practical sessions, giving participants both the conceptual grounding and the applied skills to tackle real-world problems.

Programme timeline

Application deadline:  Friday 12 June 2026 (11:59pm)

Programme duration: Tuesday, 23 June 2026 to Friday, 3 July 2026.

Location: Streatham Campus, Stocker Rd, University of Exeter, Exeter, Devon, EX4 4PY

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Programme details

The summer school covers core and advanced topics in machine learning through a mix of lectures and hands-on practical sessions, including:

  • Data Analysis
  • Supervised Learning
  • Unsupervised Learning
  • Prompt Engineering
  • Artificial Neural Networks
  • Network Analysis
  • Natural Language Processing
  • Computer Vision
  • Reinforcement Learning
  • Large Language Models
  • Generative AI
  • Bayesian Statistics
  • Ethical and Explainable AI

The summer school is primarily aimed at UK-based undergraduate students in their penultimate or final year, though we welcome applications from anyone based in the UK with a relevant background or a strong interest in machine learning, including recent graduates, postgraduates, and working professionals.

To be eligible, you must:

  • be aged 18 or over and based in the UK
  • have prior programming experience, ideally in Python
  • have a background or strong interest in a relevant subject including Computer Science, Data Science, Mathematics, Physics, Statistics, Economics, Engineering, or a related technical or scientific field
  • prior exposure to machine learning concepts is helpful but not required

Places are limited and offered on a first-come, first-served basis to applicants meeting the eligibility criteria.

Apply here

Fees

£1,250

This covers tuition and access to all lectures and practical sessions only. Accommodation, food, and travel to Exeter are not included and are the responsibility of participants.

Eligibility criteria

The summer school is primarily aimed at UK-based undergraduate students in their penultimate or final year, though we welcome applications from anyone based in the UK with a relevant background or a strong interest in machine learning, including recent graduates, postgraduates, and working professionals.

Please make sure you meet the following criteria before applying:

Essential criteria 

You must: 

  • be aged 18 or over and based in the UK
  • have prior programming experience, ideally in Python
  • have a background or strong interest in a relevant subject including Computer Science, Data Science, Mathematics, Physics, Statistics, Economics, Engineering, or a related technical or scientific field
  • prior exposure to machine learning concepts is helpful but not required

How we evaluate applications

Candidates passing all the essential criteria will be then evaluated across the following categories:

  • academic and professional background
  • motivation and potential: Scored based on the personal statement to identify strong personal drive and commitment to research in AI and alignment with Exeter’s AI research

Apply now

Take your first step toward a future in AI. Please fill out the application below for consideration. The application requires your personal details, a personal statement of a maximum of 4000 characters.

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Spaces are limited - apply now to join this transformative programme. Let’s shape the future of AI together!

2026 Exeter Machine Learning Summer School - Registration Form – Fill in form

Contact

For any administrative queries, please contact computerscience-admin@exeter.ac.uk

For other queries, please contact the Programme Lead: Dr Chico Camargo F.Camargo@exeter.ac.uk