Master of Science (MS) in Economics

The MS Economics programme (erstwhile administered as MA Economics) is designed for students who are looking to learn how to address complex questions through a deep understanding of economic theory and its application through rigorous data analysis. It provides a training in applying economic models and tools to the changing needs of corporates, the financial sector and policy institutions. 

Economists today have to be equipped with interdisciplinary skills to address problems in the society and economy. Students will be trained in theory and data analytics to critically analyse and evaluate real world problems in micro and macro contexts concerning human and firm behavior in the domains of finance, industrial organisation, education, health and environment. 

With a rigorous exposure to advanced economics concepts, the student can start a career as an analytical economist in corporate or policy organisations, look for opportunities in finance, or pursue doctoral education. The programme provides an opportunity to develop expertise in financial economics with a pedagogy that integrates data analytics with modern behavioural and institutional aspects of finance.  

Our two years Masters programme builds skills in data sciences, analytics and technology along with courses at the frontier of economics and research therein. Our unique Studio Courses and Internship programme offer exclusive problem solving experience and deep engagement with industry. Faculty with extensive research and practical experience in economics, finance, data analytics and public policy deliver these courses, imparting skills that guarantee employment in industry, government, think-tanks and academia. The programme maintains a high faculty to student ratio enabling easy student mentoring by both faculty and the Career Development Centre

Programme Objectives

• Prepare students for jobs in the financial sector, management consultancies and accounting firms, equipped with skills in time series analysis, business analytics and programme evaluation
• Develop skills to theoretically and empirically formulate, hypothesise and find creative solutions to society/economy’s problems. 
• Ensure a clear understanding of causality, usage of the most appropriate statistical techniques and software tools to test the impact of any event/ policy/ intervention. 
• Nurture an interdisciplinary perspective and collaborative skills among students through problem solving projects cutting across domains.