At Anglia Ruskin University, we celebrate the diversity of our student population.
We have developed the Student Snapshots using registration data from our students. Like a photograph, the Snapshot gives an impression of our student body on the day it was taken and serves as a rough guide to our student and staff communities as to the diversity that can be found across our campuses.
The Snapshot reflects data on a range of characteristics including age, caring responsibilities, disability, ethnicity, gender, religion or belief and sexual orientation. ARU has started collecting data on gender identity which we hope to reflect in later versions of the snapshot. We are also reviewing the words we use to ask for some of the data as feedback indicates it isn't clear to everyone and this may be affecting the quality of the information we receive.
This data has been taken from our student record system, ASTRA. Students declare this information themselves during the registration process. Please note that these figures include students from Cambridge Ruskin International College and Globe Education Services. Students who are enrolled on courses where the location is recorded as ‘Distance Learning’ are not included in the snapshot.
If you have any feedback or questions on the Snapshot, please contact firstname.lastname@example.org.
The November update includes a new indicator showing the percent of students from a low participation neighbourhood.
The participation of local areas (POLAR) classification groups areas across the UK based on the proportion of the young population that participates in HE. The POLAR classification looks at how likely young people are to participate in HE across the UK and shows how this varies by area. POLAR is used to inform targeting, and support analysis, of widening participation activities. These groups range from quintile 1 areas, with the lowest young participation (most disadvantaged), up to quintile 5 areas with the highest rates (most advantaged). The snapshots show the percent of students from the most disadvantaged areas.