Visual Analytics Bootcamp Queen Mary Summer School

This course is centered on hands-on projects to provide students with practical experience.  
The range of data examples are general and cover a broad range of subject areas and industries.

The course covers the following broad areas:

1) Acquisition and preparation of data.  EDA. Basic Visualizations. Best practices.

2) Visual Analytics of geospatial data (geographical data, MRI scan data,...)

3) Time series data. Visualization of trends, seasonalities and cycles. Possible applications to medical data (eg. apnea incidence, brain signals) or social media sentiment analysis. Building interactive dashboards and reporting results.

Entry requirements

We welcome Summer School students from around the world. We accept a range of qualifications:

• if your home institution uses the four-point Grade Point Average (GPA) scale, we usually require a 3.0 GPA
• if your home institution uses the letter scale, you will need to have a B+
• if your home university uses the UK scale, we require a 2:1 average
• if your home university uses a percentage scale, we usually require a minimum 65% average

All of our courses are taught and assessed in English. If English isn’t your first language, you must meet one of the following English Language requirements in order to join the Queen Mary Summer School:

• If you hold a degree from a majority English speaking country plus Canada you may use this degree to satisfy the English language requirements for entry, provided the degree was completed no more than 5 years before the start date of the course to which you are applying.
• An IELTS score of 7 or higher, for the majority of courses
• An IELTS score of 6.5 or higher for science-based courses
• A TOEFL iBT score of 92 or higher
• CET4 - 550 or CET 6 - 493
• A degree taught in English within the last five years*

Applicants with an alternative qualification should check it is equivalent to the above or contact us at [email protected]