Curriculum for the MS in Emergency and Disaster Management

This course examines the history and perspectives of the field, hazards concepts, phases of emergency management, risk assessment, risk communication, and emergency management functions. Students will explore the complex challenges facing homeland security professionals in the contemporary global context, with a focus on understanding and responding to terrorism, natural disasters, pandemics, cyber threats, and other emergent risks.

This course offers an in-depth examination of the role of communication in all phases of emergency management, focusing on effective strategies for planning, coordinating, and disseminating information during crises and disasters. Students will explore theories, models, and best practices in crisis communication, public information management, and interagency collaboration to enhance preparedness, response, recovery, and mitigation efforts.

Students will explore the critical importance of inter-agency collaboration in emergency management, focusing on the coordination, communication, and cooperation among diverse agencies, organizations, and stakeholders involved in preparing for, responding to, and recovering from disasters and emergencies. Students will examine the challenges, best practices, and strategies for enhancing collaboration and building effective partnerships across sectors and levels of government to improve overall emergency preparedness and response.

This course explores how climate change intensifies social and economic vulnerabilities, increasing risks of violence, forced displacement, and human suffering. Using case studies, scenario planning, theoretical frameworks, and policy analysis, students will investigate innovative approaches to preventing climate-induced crises and building more resilient societies.

This course explores the complex relationship between disasters and society from a sociological perspective. Students will examine how natural and human-made disasters impact different social groups, institutions, and communities. The course will delve into the social, economic, and political factors that influence disaster preparedness, response, recovery, and mitigation. Using case studies, students will analyze how social inequalities—such as race, class, gender, and geographic location—shape the experiences and outcomes of disasters. Additionally, the course will consider the role of social institutions like government, media, and healthcare in both contributing to and alleviating disaster-related vulnerabilities. Through this sociological lens, students will gain a deeper understanding of how disasters both reflect and reshape societal structures and norms. Students will explore the Intercultural Development Inventory (IDI) as a tool to assess intercultural competence at the individual, group, and organizational levels.

This course explores the intersection of cybersecurity and emergency management, focusing on the evolving landscape of cyber threats and their implications for disaster preparedness, response, recovery, and mitigation efforts. Students will examine cybersecurity principles, strategies, and best practices relevant to protecting critical infrastructure, information systems, and communication networks during emergencies and crises.

Students will explore the applications of artificial intelligence (AI) in the field of emergency management, focusing on how AI and GIS technologies can enhance preparedness, response, recovery, and mitigation efforts in the face of disasters, crises, and emergencies. Students will examine cutting-edge AI techniques, algorithms, and tools and their potential to revolutionize decision-making, resource allocation, risk assessment, and situational awareness in emergency management contexts.

This course offers an in-depth examination of the interplay between natural hazards and disasters. Through a multidisciplinary approach, students will investigate the underlying causes, impacts, and responses to a range of natural and man-made hazards and disasters, from earthquakes and hurricanes to pandemics and climate-related events. Drawing on scientific, social, and policy perspectives, the course will equip students with the knowledge and skills needed to assess risks, develop effective mitigation strategies, and enhance community resilience in the face of disasters, including the role of GIS.

This course provides a comprehensive exploration of the intersection between emergency management and health crises, focusing on the preparedness, response, recovery, and mitigation strategies necessary to address public health emergencies and pandemics. Students will examine the complex challenges posed by infectious diseases, epidemics, and other health crises, and explore the roles of emergency management agencies, healthcare systems, and community stakeholders in effectively managing these events.

This course provides a comprehensive exploration of emergency management principles and practices tailored specifically for businesses and industries, with a focus on business continuity planning. Students will learn how to identify and mitigate risks, develop continuity plans, and ensure organizational resilience in the face of disasters, disruptions, and emergencies. The course will address the integration of emergency management with broader business operations, risk management strategies, and regulatory compliance requirements.

This course equips students with a broad, conceptual understanding of AI principles and terminology needed to engage effectively in AI-related conversations and decision-making. Topics will include the fundamentals of AI, machine learning, and data-driven decision-making without the need for technical skills or programming. Students will gain confidence in interpreting AI project proposals, performance metrics, and risk assessments. Emphasis will be on the role of AI in transforming organizational strategy, understanding AI-driven workflows, and discerning credible AI metrics and performance claims, enabling students to drive AI initiatives effectively within their organizations.

This course empowers future AI leaders to strategically identify and evaluate potential AI applications within their organizations. Students will learn to map business processes, contrast job descriptions with actual workflows, and pinpoint areas where AI can drive strategic advantage and enhance efficiency, productivity, or innovation. Additionally, the course will address strategies for integrating existing, potentially unsanctioned AI solutions into a centralized framework, ensuring compliance while harnessing the creativity and productivity gains of grassroots AI adoption. Throughout the course, we will emphasize aligning AI initiatives with overarching organizational goals and values, regardless of the sector (business, government, non-profit, etc.). As part of the coursework, students will conduct a strategic assessment of AI opportunities within a chosen organization or context, identifying potential use cases, evaluating their feasibility, and aligning them with the organization's strategic vision.