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The Summer School offers complementary course types and categories, which add up to a full and comprehensive tuition package. It comprises:
These courses offer an introduction and tools useful for further courses.
Courses are either First Week, Second Week or Two-week and involve three hours of class instruction per day. Should you wish to take two Main courses, AM + PM, please read the course outlines thoroughly. Most Main courses require additional work outside of the standard classes of three hours a day.
Monday 3 August – Friday 7 August (First Week)
Monday 10 – Friday 14 August (Second Week)
Workshops for scholars at an advanced stage of their research project, with at least some empirical material, and engaged in analysis of this material.
09:00–12:30 and 14:00–16:00
Our courses are categorised to help you decide which course best suits your needs.
Research design/fundamentals course
Enables you to think about your research broadly, so you can make informed choices about specific methods/techniques.
Data collection/generation course
A hands-on course focused on a specific method (or family of methods) for data collection or generation.
Data analysis (foundation)
A hands-on course focused on a specific method (or family of methods) for data analysis, bringing you to a foundation level.
Data analysis course (introductory)
A hands-on course focused on a specific method (or family of methods) for data analysis, bringing you to a level of well-informed use.
Data analysis course (intermediate)
A hands-on course focused on a specific method (or family of methods) for data analysis, bringing you to an intermediate level, including recent refinements.
Data analysis course (advanced)
A hands-on course focused on a specific method (or family of methods) for data analysis, bringing you to an expert level, including more recent refinements.