Data insights
Between 2015 and 2022, the number of enrolments from women in university STEM courses increased from 70,378 to 89,842. This was a 28% increase, compared to a 9% increase for men. This saw the proportion of STEM enrolments from women increase by 3 percentage points (37% compared to 34% in 2015).
Since 2020 the proportion of STEM enrolments from women has remained stable at 37%. This proportion remained the same despite total domestic enrolments (men and women in all fields of education) decreasing 5% from 2021 to 2022.
The number of enrolments from women in postgraduate STEM study decreased 3%, from 16,316 to 15,818. This was similar to the percentage decrease of enrolments from women in undergraduate STEM study, which went down 2%, from 75,846 to 74,024.
From 2021 to 2022, the proportion of university STEM course completions from women remained the same, at 39%. The number of STEM course completions by women increased slightly however, from 18,406 in 2021 to 18,509 in 2022 (this includes both undergraduate and postgraduate completions).
In 2022, women continued to make up over half of student enrolments and completions in:
- agriculture, environmental and related studies
- natural and physical sciences.
Women remained underrepresented in enrolments and completions for engineering and IT. Women only made up:
- 20% of engineering and related technologies enrolments
- 22% of information technology enrolments
- 19% of completions in engineering and related technologies
- 21% of completions in information technology.
The dataset shows that for university enrolments, STEM is equally popular among non-binary and gender diverse people and all other students. In 2022, 21% of enrolments from non-binary and gender diverse people were in STEM fields. 21% of enrolments from all other students were also in STEM fields.
University enrolments by field type, 2022
|
Non-binary and gender diverse people |
All other students* |
Field type |
no. |
% |
no. |
% |
STEM |
804 |
21% |
241,824 |
21% |
Health |
464 |
12% |
239,293 |
21% |
Non-STEM |
2,609 |
67% |
667,027 |
58% |
Total |
3,877 |
100% |
1,148,144 |
100% |
* All other students includes women and men |
About the data
University qualifications in this data include:
- Bachelor degree
- Graduate certificate
- Graduate diploma
- Master degree
- Doctoral degree (PhD).
Numbers refer to enrolment in a qualification or completion of a qualification in a particular calendar year. Counts include domestic students only, which refers to Australian citizens, New Zealand citizens, and Australian permanent residents and Australian humanitarian visa holders.
Enrolment and completion numbers for an individual field, such as information technology, count double degrees in the same field as a single enrolment/completion, and therefore can be expressed as a count of people. However, when fields are added together, such as at the overall STEM level, double degrees in the same grouping will be double counted, resulting in an inflated number for enrolments or completions. For example, if a person enrolled in a double degree in information technology and engineering and related technologies in 2022, they would be counted as 2 STEM enrolments in that year.
For the above reason, the commentary in this article refers to counts of enrolments rather than counts of people.
Non-binary and gender diverse people are included in the calculation of proportions in the visualisation and the commentary. This group includes students who report a gender other than male or female.
The Department of Education data used in this report are subject to perturbation – small noise added to the data to protect personal information. Because of this, actual enrolments and completions may vary slightly from those reported in this report.
All data for 2015 and enrolments data for 2016 was sourced from Department of Education’s uCube. Data in this report is comparable to Department of Education published pivot tables by broad field of education (BFOE).
Enrolment and completion numbers across years do not represent longitudinal data. You should not use them to calculate attrition rates.
Read more about our methodology and this data.