"Data Science for International Relations" is an interdisciplinary course that leverages the power of data science to analyze and interpret complex international relations phenomena. Students will learn to use statistical analysis, predictive modeling, machine learning, and other data science tools to study global trends, conflicts, diplomacy, and policy-making. The course also emphasizes ethical considerations in data usage and interpretation. No prior data science experience is required.

CILO-1: Apply key methods and foundational principles of data science to international relations scenarios. CILO-2: Utilize statistical analysis and predictive modeling techniques to investigate complex phenomena in international relations. CILO-3: Create and interpret data visualizations that accurately represent trends in international relations. CILO-4: Identify and address the ethical implications and potential biases in the use of data science in international relations. CILO-5: Implement Natural Language Processing and text analysis techniques to derive meaningful insights from unstructured data in international relations.