I too was a Maths (Mathematical Sciences) Graduate, but in the 1990s.  The split between Male and Female was not noticeably skewed, and ethnic origin was not something I could comment on as it really wasn't an issue and I can't even picture how it looked.

I completed a MSc in Cyber Security last year and my class was more than 75% “ethnic minority” and less than 10% female with only one woman.

Personally, I think these diversity issues are created by an overwhelming desire to be seen as awake to these [non-] issues, which are actually creating the opposite situation, which could be called “white unprivileged”.

Perhaps all that we need to ensure is that memberships/attendances profiles fit closely enough to the social profiles of of those who apply for/work in the various areas of interest.  I would then say it is likely more down to getting coverage and exposure across the field rather than any ethnic or gender “privilege”.

I too was a Maths (Mathematical Sciences) Graduate, but in the 1990s.  The split between Male and Female was not noticeably skewed, and ethnic origin was not something I could comment on as it really wasn't an issue and I can't even picture how it looked.

I completed a MSc in Cyber Security last year and my class was more than 75% “ethnic minority” and less than 10% female with only one woman.

Personally, I think these diversity issues are created by an overwhelming desire to be seen as awake to these [non-] issues, which are actually creating the opposite situation, which could be called “white unprivileged”.

Perhaps all that we need to ensure is that memberships/attendances profiles fit closely enough to the social profiles of of those who apply for/work in the various areas of interest.  I would then say it is likely more down to getting coverage and exposure across the field rather than any ethnic or gender “privilege”.