AI and Society Master of Arts and Science (MASc)

<strong>Important information</strong><br/><strong>We are planning to make some changes to our AI and Society (MASc) for 2026 entry. Changes are currently undergoing approval through the Universitys rigorous academic processes. It is therefore very important that you check our wesbite for the latest information before you apply and prior to accepting an offer.</strong><br/><br/>CIM’s new MASc in AI and Society is an innovative, interdisciplinary course designed to enable students to respond creatively and critically to the rapidly evolving challenges of a world transformed by technological developments and processes. This MASc course offers an analytical and critical approach to AI, as well as a technical and practical grounding that enables students to interrogate and develop AI-based technologies. Our modules will include a focus on “doing AI”, e.g. through coding, building, testing AI as well as through engagement with governance and public policymaking in relation to AI and technological innovation in society.<br/><br/><strong>During the MASc AI and Society students will develop:</strong><br/>• Grounding in state-of-the-art critical and interdisciplinary research to interrogate AI and its impact on society that will enable students to engage deeply with rapidly evolving challenges in the design, development, deployment and governance of AI systems.<br/><br/><br/><br/>• Comprehensive technical skills to develop and assess AI systems that will be underpinned by expertise in designing, coding and testing AI techniques along with an understanding of responsible and ethical practices.<br/><br/><br/><br/>• A distinct, comprehensive skillset to respond to policy and governance implications of AI that not only builds on one’s ability to critically analyse AI’s impacts but also provides an in-depth understanding of how and when AI works and fails.<br/><br/><br/><br/>• A unique portfolio that grounds your learning in real-world problems that is developed through engaging with case studies, working with academic and non-academic stakeholder on problems at the intersection of AI, technology, society and policy.<br/><br/>