We offer courses from a wide variety of academic disciplines. You can explore what is on offer by searching the list below.
If you want to see detailed information on what each class includes, click on the module you are interested in from the list below and the syllabus is located near the top of the overview section.
Classes run on Monday to Thursday, between 10am and 3pm so you will also have enough time for personal study and social activities.
Got a question? Feel free to drop us a line at summerschool@qmul.ac.uk
Please note that we are in the process of finalising our 2025 summer school course listing. The below is indicative of the courses that will be offered, however, the dates and course content may be subject to change until applications open in November. Some course syllabi are also in the process of being finalised.
This course investigates the alternative history or ‘repressed underside’ of British cinema and the ways in which these films engage with the history of Britain and its capital.
Session 1: 30 June - 18 July 2025
This module critically evaluates contemporary trends in the changing world of work. We focus on these trends with a view to understanding their implications for work, employment and society.
This module considers specific cognitive functions and properties of the human mind.
This course will provide an introduction to the comparative politics of the US and the UK. We will use comparative analysis to throw light on the political systems in both countries.
This module offers you an opportunity to put theory into practice, cultivating a sense of the history and theory of documentary film alongside the chance to make your own short non-fiction film.
This summer school will provide clear understanding of the different types of environmental exposures that are related with pathogenic mechanisms of human diseases.
Gain a profound overview of international law and its various areas, its relations to politics, and the current challenges of the international legal system.
What do cultural collections tell us about the past? Through on site visits to ten of London’s most important institutions we will explore this question.
Study machine learning by using the Python programming language and the TensorFlowTM programming toolkit. (No programming background needed)
This course reads the work of Taylor Swift as, and in relation to, literature.
Session 1: 30 June -18 July 2025
This course is a basic introduction to the dynamics of time dependent data.
This module will offer students the opportunity to study, in great detail, the architectural and urban history of London from the late seventeenth century to the present day.
Session 2: 21 July - 8 August 2025
This module examines how environmental challenges have been, and continue to be, shaped by empire.
This course will look at Shakespeare’s plays and how they are interpreted in different parts of the world.
This course will address the impact of trauma on mental health as a lifelong process interrupted in some significant way by the pandemic of COVID-19
This module aims to introduce students to some of these key debates, by providing an in-depth study of the legal and philosophical underpinnings of international criminal justice.
Get an expert introduction to the political theory, globalisation and the global political economy of health.
This dynamic course will provide students with an opportunity to learn about some of the key legal skills which are used in practice to become a successful, ethical lawyer and professional.
This module asks you to think about the different ways that we might define a city and to explore different perspectives on London inflected by mobility, migration, class and gender.
You will be studying London through visits, tours, talks, walks, screenings and events.
This module introduces students to a range of theoretical perspectives relevant to managing equality and diversity in contemporary organisations.
The module aims to equip students with practical skills in data analysis and visualization techniques essential for extracting actionable insights from complex datasets.