Address
Parkville Campus
Grattan Street
Melbourne Victoria 3010
Australia
Level of study: Career Based/Vocational
Summary
Who is it for?
This course is ideal for professionals of any industry who are seeking a stronger understanding of how bias can be embedded in data – and how organisations can work towards more gender-inclusive data-driven decisions.
Relevance to your job and industry
This course is designed to give you a deeper understanding of the technological changes occurring within your industry as well as the overall landscape of work.
You'll gain skills to help identify and mitigate gender bias in data analysis and interpretation and, ultimately, shift towards more inclusive outcomes in your organisation and industry.
Skills and learning outcomes
By the end of this course, you'll have gained a deeper insight into how biases can become embedded in data. You'll be able to:
Critically evaluate gender bias and discrimination in AI and data used in workplace contexts
Critically analyse ethical implications arising with the use of data
Identify and evaluate diverse data used in various workplace contexts.
Pathways to further study
This Melbourne MicroCert can be taken as a stand-alone course or complemented with any other Melbourne MicroCert in the Future of Women at Work series to deepen your knowledge and skills.
It also offers a pathway – otherwise known as advanced standing – into the Master of Social Policy. To use it this way, you need to complete all four Melbourne MicroCerts in the Future of Women at Work series, then apply for credit towards the masters.
The series includes:
Artificial Intelligence Policies
Artificial Intelligence and Women
Adaptability for Artificial Intelligence
Click here for more details on this course.
Tuition Fees (AUD $) | Start date | Duration | Campus |
---|---|---|---|
1,190 for the entire course | 10 Oct 2022 |
6 weeks
Self study / online (without attendance) |
The University of Melbourne Parkville Campus Grattan Street Melbourne Victoria 3010 Australia |
There are no eligibility requirements.