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International Policy

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A globalized world drives issues that cross borders and span jurisdictions, and demands policy professionals that can navigate the complexity of multi-dimensional and multi-disciplinary challenges.

Globalization is setting the context and posing the principal problems that are driving the future of public policy. The challenges of the 21st century are increasingly defined by their global reach, as an interconnected world sees the emergence of new, more complex issues and highlights the growing disparity in outcomes across countries. As issues related to economic policy, international security, and development weave together in an intricate web, understanding and navigating this evolving space requires interdisciplinary skills, knowledge and experience.

A local to global ethos is at the heart of our approach to public policy, recognizing that the challenges we face in our communities, nations and and world have aspects that span across all dimensions. Our courses explore a wide range of economic, security, development and foreign policy topics. Our master's programs offer specializations in international development and international security and economic policy, and our undergraduate program has a growing portfolio of courses focused on addressing global problems. The Center for International Security Studies at Maryland and the Center for Public Policy and Private Enterprise anchor our research on topics as diverse as cybersecurity governance, nuclear security and the governing rules of space operations. 

 

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3 Credit(s)

Interplay between government and private interests in shaping official actions that affect international trade. Policy tools available to influence balance, magnitude, and composition of imports and exports. Evolution of executive, congressional and quasi-judicial government institutions under increased U.S. international trade exposure and trade deficit. Restricted to students in a major in PLCY.
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Recommended as prerequisite(s): PLCY620, PLCY640 and PLCY641

Faculty: Susan C. Schwab
3 Credit(s)

Introduces statistical methods needed for evaluating and choosing among policy options. Topics include probability; decision-making under uncertainty; the organization, interpretation, and visual display of complex data; prediction and inferences about causality; hypothesis testing; and linear and multiple regression. Develops analytical skills and the ability to apply theory to complex, real-world problems.
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Faculty: Alec Worsnop