At LMH, we offer a range of excellent courses designed and delivered by Oxford academics, all of whom work at the cutting-edge of their field of research and teach within our world-renowned tutorial system.
Our academic programmes are organised across three sessions, with each course lasting for three weeks. All of our courses are designed to be eligible for academic credit at your home institution.
You are welcome to enrol in courses that enhance your expertise or use this opportunity to explore new intellectual horizons. With this in mind, we encourage applying for a suite of courses across the summer.
Applications for 2027 will open soon. In the meantime, our course list may be viewed below. Please note that some course overviews are not yet ready for publication - these will be updated soon.
Courses by date
Session 1: 28th June - 16th July 2027
Artificial Intelligence and Machine Learning: Theory and Practice
Artificial Intelligence and Machine Learning: AI for Finance
Artificial Intelligence and Ethics
Business and Entrepreneurship in a Changing World
Museum Studies: Collection, Curation, and Colonialism
Shakespeare on the Page and the Stage
Oxford and the Rise of Fantasy Literature
Law and the Pursuit of Freedom
Session 2: 19th July - 6th August 2027
Artificial Intelligence and Machine Learning: Theory and Practice
Advanced Artificial Intelligence and Machine Learning: Computer Vision
Advanced Artificial Intelligence and Machine Learning: Graph-Based Methodologies
Greek Art and Iconography from the Age of Odysseus to Alexander the Great
Jane Austen: Literature and Legacy
Advanced International Law: Peaceful Settlement of Disputes
Global Perspectives on Public Health: A Survey of Core Concepts and Applied Practice
Session 3: 9th August - 27th August 2027
Artificial Intelligence and Machine Learning: Theory and Practice
Advanced Artificial Intelligence and Machine Learning: Reinforcement Learning and Robotics
Radical Modernism: British Art and Literature from the Pre-Raphaelites to the Bloomsbury Group
Artificial Intelligence and Machine Learning
Artificial Intelligence and Machine Learning: Theory and Practice
Artificial Intelligence and Machine Learning: AI for Finance
Artificial Intelligence and Ethics
Advanced Artificial Intelligence and Machine Learning: Computer Vision
Advanced Artificial Intelligence and Machine Learning: Graph-Based Methodologies
Advanced Artificial Intelligence and Machine Learning: Reinforcement Learning and Robotics
Psychology & Medicine and Physics
