B.Sc. In

The first year builds a strong academic foundation that connects economic reasoning with analytical and digital fluency. Students are introduced to principles of microeconomics and macroeconomics, mathematical methods, and business statistics, while simultaneously developing competence in programming for analytics and data visualization. Courses in communication, critical thinking, and academic writing foster clarity of thought and expression—ensuring that every student learns to think like an economist and reason like a data analyst. This year nurtures intellectual curiosity and interdisciplinary awareness, setting the stage for deeper analytical exploration.

In the second year, students move from foundational understanding to applied problem-solving. They engage with intermediate microeconomics and macroeconomics, econometric modeling, and public policy analysis, learning to use data to test economic hypotheses and interpret real-world patterns. Parallelly, they acquire technical expertise through database management, Python and R programming, and quantitative data analysis, linking economic theory to real-time applications. Behavioral economics, policy case studies, and skill-enhancement courses strengthen their ability to draw actionable insights from complex datasets and dynamic market environments.

The third year brings integration, where students apply economic thinking to business, finance, and public systems using modern analytical tools. They explore advanced econometrics, machine learning for economists, and financial analytics, connecting statistical models to market behavior and decision-making. Exposure to data-driven policy evaluation, global political economy, and impact assessment helps them understand how data informs governance, sustainability, and strategy. A summer internship or applied project bridges academia and industry, allowing students to implement classroom knowledge in live environments—building professional readiness and problem-solving acumen.

The final year is a culmination of specialization, research, and professional development. Students choose to pursue either an Honours research dissertation or an applied industry project, focusing on areas such as development economics, environmental policy, financial modeling, or AI and big data analytics. They learn advanced tools in data science, econometric forecasting, and policy consulting, synthesizing their technical and theoretical learning into impactful outcomes. This year transforms students into independent thinkers and professional analysts—equipped to lead in the evolving landscape of economics, technology, and data-driven decision-making.