Our curriculum design interweaves economic learning with learning in other social sciences, natural sciences, data analytics, and mathematics to provide a broad-based and rigorous understanding of underlying economic concepts and methods. This understanding will be achieved by integrating empirical knowledge of economic phenomena with abstract conceptualization through mathematical and computational models and intuitive understanding of economic theory.

The study of economics will involve the perspective of an individual as well as groups of individuals – markets, communities, societies, generations. It can take a static approach, where analysis focuses on a fixed point of time, a dynamic approach which studies how things change over time, or even an evolutionary approach which explores how the past continuously and cumulatively impacts the present and the future. The deep relevance of historicity to the study of economics has informed the design of this curriculum.

The pedagogical approach combines class lectures and discussions, problem-solving exercises, experimental methods, field visits, as also an exposure to the discipline through the lenses of interrelated disciplines such as history, politics, sociology, technology, psychology, ecology, and mathematics. Internship programs and the capstone thesis will invite rigorous explorations of theoretical frameworks and challenges on the ground. Academic mentors will guide students to understand and navigate these challenges.