Gender Bias and Discrimination in Data

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.

There are no eligibility requirements.

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.

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.

This course runs over six weeks.

Your total time commitment is approximately 42 hours, which includes:

• 6 hours guided learning
• 16 hours self-directed study
• 20 hours for assessment tasks.

Assessment:

• Quiz on key concepts (30%)
• Evaluation of data and methods to identify gender bias in workplace context (70%).

Once you've successfully completed this course, you will be awarded your Gender Bias and Discrimination in Data micro-credential. This digital certificate will warrant the achievement of knowledge, skills and capabilities outlined in the learning outcomes. It may also include artefacts (such as videos and written material) related to both experiential and work-integrated learning, including translatable assessment that is practical to your professional life. You can also share your micro-credential digitally and via social media by adding it to your personal platforms, such as LinkedIn. See example certificate.

This micro-credential can be taken as a stand-alone course or complemented with any other micro-credential 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 micro-credentials 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
• Gender Bias and Discrimination in Data.

This course features both guided and self-directed learning, to maximise your learning outcomes. Within our innovative online environment, you'll engage with other industry professionals and receive valuable guidance and feedback from our course facilitators. You'll take part in interactive webinars and digital workshops, and be guided towards useful readings, case studies and podcasts.

There is no set expiry date.