Micro-credential
Gender Bias and Discrimination in Data
Discover how to identify potential gender biases in the data used within your own organisation.
Start date
To be announced
Duration
6 weeks / 42 hours
Study mode
Online
Fees
$1190 AUD (inc GST)
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What you will learn
Gain contemporary skills and knowledge for your job now.
Data is a crucial tool in today's workplaces – but it can often be skewed in ways that reinforce gender biases.
This micro-credential is ideal for professionals from any sector seeking the tools to understand how data can hold inherent bias, and how this impacts organisational decision-making.
Explore the nexus of gender and technology
Drawing on social science perspectives, you'll explore the intrinsic gender inequalities that exist within our broader society. Consider how these are reflected in AI and other technologies.
Understand how data influences workplace decision-making
Recognise data’s value in the workplace, and consider how it can be applied to drive effective decision making. Examine how gender bias and discrimination can be embedded within data and tech used by organisations, and explore the unintended impacts this may have.
Discover the tools to identify biases in data
Understand how gender bias can be reinforced during data collection, analysis and interpretation. Gain a critical framework to assess the quality of data and its sources, to identify potential bias.
Apply your knowledge to your own workplace
Putting your new knowledge into practice, you'll examine how data is used in your own organisation. You'll demonstrate how to identify the potential bias that exists within it, and consider how to make more gender-inclusive data-driven decisions.
Who you will learn from
Learn from skilled academics and professional experts who will share invaluable knowledge you can use in your job.
Professor Leah Ruppanner
Professor of Sociology, and director of The Future of Work Lab
Leah is a quantitative methodologist whose research focuses on the impact of gender equality and family policy on individuals’ lives through analysis of large cross-national data. Her research has been published in top-tier sociology journals and featured in Slate, The Guardian, The New York Times, The Conversation, and The Age. She is also a Research Fellow at the ARC Centre for Excellence for Children and Families over the Life Course.
Sophie Squires
Research coordinator, The Future of Work Lab
Sophie is an anthropologist with an interest in gender, politics and the media. She works across various social and gender equality projects, including currently working on evaluating equal opportunity policies of local government and researching barriers to women’s representation.
Lía Acosta Rueda
Research coordinator, The Future of Work Lab
Lía is an economist with expertise in public policy, gender, and monitoring and evaluation. Prior to joining the Future of Work Lab, Lía provided technical assistance for the design of impact evaluations of social policies in Mexico.
More from this series
Take multiple courses to deepen your knowledge or stack towards a full degree.
The Future of Women at Work series
The Future of Women at Work series examines the policy, digital skills and interpersonal approaches necessary to establish gender equity in our future workplaces.
The series also provides a pathway into the Master of Social Policy. See course details for more information.
Explore more from the Future of Women at Work series:
Fees
For individuals
To take Gender Bias and Discrimination in Data as a stand-alone micro-credential, you'll pay the normal course price.
$1190 AUD (inc GST)
Please contact Student Support to discuss discounts and payment options for University of Melbourne staff or alumni, or to pay by invoice.
Dates
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Course details
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