Global Semester

This course explores the foundational principles of the Austrian School of Economics, focusing on topics such as methodological individualism, entrepreneurship, spontaneous order, and the role of prices in coordinating decentralized knowledge. Through key texts and contemporary applications, students will critically assess the relevance of Austrian insights to current economic and policy debates.

Analyses the impact of emerging technologies on financial services. Topics include digital assets, decentralized finance (DeFi), smart contracts, and fintech regulation.

An in-depth exploration of Latin America’s long-term economic development, focusing on the region’s structural challenges, persistent inequality, recurring debt crises, and the impact of populist economic policies. The course also analyzes Latin America’s evolving role in the global economy and its patterns of integration into international markets.

Combines financial theory with hands-on programming tools to develop predictive models for markets and firms.

Topics include algorithmic finance, data preprocessing, and Python implementation.

Students will examine how firms design and execute international strategies in complex and competitive environments. Topics include globalization, market entry, competitive advantage, and cross-border operations.

This course analyzes how political and institutional dynamics shape global economic outcomes. It explores development strategies, international organizations, and the interplay between state power and economic policy.

This course provides a comprehensive analysis of international trade theory and policy, with particular emphasis on trade liberalization strategies, the functioning of free markets, and the dynamics of global supply chains. It also explores contemporary challenges such as protectionism, trade wars, and the implications of shifting geopolitical alliances on global commerce.

This course examines how organizations develop and sustain competitive advantage through effective strategic management and innovation. Students will engage with key frameworks for strategic analysis, explore the dynamics of

innovation cycles, and assess how firms respond to technological change and market disruption. The course places strong emphasis on real-world application, agility in decision-making, and the strategic alignment of innovation with long-term organizational goals.

This course explores the transformative role of data analytics in shaping global marketing strategies. It covers key analytical tools and techniques used to understand consumer behavior across international markets, including market segmentation, predictive modeling, and the measurement of customer lifetime value. Through case studies and practical applications, students will learn how data-driven insights inform decision-making and drive marketing performance in a globalized business environment.

This course analyzes the growing impact of artificial intelligence on leadership, strategic decision-making, and organizational design. Students will explore how AI tools are being integrated into business environments, assessing both the opportunities they present and the limitations they impose. Special attention is given to ethical considerations, including algorithmic bias, transparency, and the responsibilities of leaders in managing AI-driven transformation. Through critical analysis and case studies, the course encourages a reflective approach to leadership in the age of intelligent technologies.

This course combines behavioral insights with data analytics to examine how cognitive biases, heuristics, and psychological factors influence decision-making in business and economic contexts. Students will analyze how real-world behavior deviates from classical economic assumptions and how organizations can leverage data to better understand and predict human actions. Topics include bounded rationality, framing effects, nudging strategies, and the integration of behavioral models with quantitative tools for improved decision-making. 

An interdisciplinary approach to understanding how big data influences policy, governance, ethics, and social dynamics. Students will explore case studies on surveillance, bias, and digital inequality.

This course introduces core concepts in cognitive neuroscience and applies them to leadership, communication, motivation, and emotional intelligence in complex organizational settings.

This course teaches students how to harness the power of Python to transform complex datasets into clear, compelling visual narratives. Through hands-on practice with tools such as Matplotlib and Seaborn, students will develop the technical and storytelling skills needed to communicate data-driven insights effectively. Emphasis is placed on designing visuals for business contexts, structuring analytical stories for decision-makers, and applying best practices in visual communication to support strategic thinking.

This seminar explores the ethical challenges that arise at the intersection of artificial intelligence and corporate decision-making. Through real-world case studies and critical discussion, students will examine issues such as algorithmic fairness, transparency, accountability, and the social impact of AI-driven decisions. The course encourages a reflective and responsible approach to technology implementation, equipping future professionals to navigate ethical dilemmas in complex organizational settings.

Hands-on analysis of public policy issues using real datasets. Students will apply analytics tools to evaluate social programs, public health interventions, and economic policy impacts

Designed for non-native speakers, this course develops communication skills in Spanish for business settings, including meetings, negotiations, presentations, and professional correspondence.

A collaborative, interdisciplinary workshop where students design and present solutions to real-world international business or policy challenges, working in multicultural teams.

Hands-on training in BI platforms such as Power BI.

Students will learn to extract insights, build dashboards, and support data-driven decisions in business environments.

Students explore how automation and AI are transforming business operations. Includes practical applications of chatbots, RPA, and AI-based optimization tools.