Data Literacy for Justice PgDip

This fully online programme will provide you with skills in critical thinking, statistical modelling, spatial data, data visualisation and science communication to allow you to tackle some of society’s biggest challenges. We’ll teach you how to effectively interpret and use data to drive meaningful change, which we relate to the three pillars set out below: <br/><br/><br/>- <strong>Social justice</strong>: to create a fair and just society where all individuals have equal access to opportunities, resources, and rights.<br/><br/><br/>- <strong>Environmental justice</strong>: where no group of people should bear an unfair share of negative environmental impacts.<br/><br/><br/>- <strong>Sustainability</strong>: meeting the needs of the present without compromising the ability of future generations to meet their own needs.<br/><br/><br/>First, our experts introduce the conceptual foundations of sustainability and the theories underpinning social and environmental justice, which serve as the basis for our practical case studies.<br/><br/>Second, you will develop statistical and spatial data science capacities, with an emphasis on generating compelling evidence from data. This includes critical engagement with the use and misuse of data, the inherent biases in big data, and data ethics, alongside training in a range of statistical approaches, from foundational to advanced, for analysing diverse datasets.<br/><br/>Finally, the programme draws on science communication and data visualisation techniques, enabling you to present data clearly and effectively for different audiences, including policymakers and the general public.<br/><br/>This MSc is designed for students from diverse educational backgrounds, with varying skill levels and interests. Its built-in flexibility allows you to select the pathway that best suits your needs, letting you work with the types of data most relevant to your current or future field of practice.<br/><br/><strong>Highlights</strong> <br/>• Develop your understanding of key issues in social and environmental justice and their sociopolitical contexts, and theories of social change.<br/><br/><br/><br/>• Build your confidence in responsibly collecting quality data, including key concepts for data analysis, spatial data science, data modelling using real datasets, and using open-source platforms.<br/><br/><br/><br/>• Construct engaging and accessible narratives with data, including data visualisation for lay and expert audiences.<br/><br/><br/><br/>• Practice effective public engagement strategies, including using journalism outlets and social media for impactful communication.<br/><br/><br/><br/>• Enjoy the flexibility to start at the beginning if you dont have a background in statistics, or take a more advanced class to enhance your existing skills.<br/><br/><br/><br/>• Boost your impact potential by diversifying your science communications and data visualisation toolboxes.<br/><br/>