Do you enjoy working with numbers? Or do you find the prospect of using statistics a daunting idea? Either way, our two-week Summer School could be for you.
As many of our students have found, the two-week Summer School starts from scratch without assuming any prior knowledge. It provides an introduction to quantitative methods in the social sciences and is designed to be challenging but fun.
Numbers don’t have to be nerve-racking. The Summer School showed us how to use data to our advantage. I found it both interesting and incredibly helpful.
Who can apply
The Q-Step Summer School is open to first-year students on one of the following undergraduate courses:
- Politics and International Relations
- Social Policy
How it works
You work with other students from a range of disciplines to complete a real piece of social science research. Topics covered in the past include race, ethnicity and discrimination, and gender and equality. After eight days of group study, you present your findings based on ‘big data’ to an audience of fellow students as well as academic staff.
The Summer School serves as a five-credit module within your degree and appears on your degree transcript, making it a unique opportunity to boost your employability.
If you complete the Summer School, you can apply to transfer to one of our Q-Step degrees. However, if you don't want to continue with your Q-Step studies, there is no obligation to convert at the end of the course.
In 2021, the Summer School will run for the first two weeks of the summer break. Further details will be posted here in spring 2021 so check back for more information. In the meantime, if you have any queries, please contact us.
For the duration of the Summer School, you receive free accommodation in Park Wood. You also receive two weeks of free teaching and tutoring. We ask for a £50 deposit to reserve your place but this is refunded on completion of the course.
Summer School is not only a fun way to familiarise myself with the use of data analysis, but also an investment in my future.