| Overview
The Master of Science in Economics and Analytics offers a rigorous curriculum that navigates students from economic theory to practical computational applications, providing comprehensive training in descriptive, predictive, and prescriptive analytics. Delving into econometric methods, machine learning, optimization, and computing, students gain proficiency in big-data skills alongside economic modeling expertise. This combination equips them to identify and capitalize on data-driven opportunities across both private and public sectors. With a focus on empirical and applied work, graduates are poised to make significant contributions to the evolving field of Economics. The program's objectives include fostering knowledge and skills in cutting-edge data analytics, enhancing analytical problem-solving abilities through hands-on applications, equipping students with tools for data handling and interpretation, and promoting research excellence to address societal challenges.

| Why choose this course?

• Platform for entrepreneurship and start-ups:Bright ideas are supported and incubated to promote entrepreneurship among the students
• Intensive hands-on training in Analytics: Strong emphasis on training through the intensive lab sessions and projects
• Industry exposure through training and project involvement: Continuous interactions with industry professionals through skill-based training sessions, team-based projects
• Collaborative research projects with industry and academia: Proactive involvement in ongoing projects to facilitate preparationfor the job market
• One of the First and Unique Programme in the Country: It is one of the first programmes in the country, providing a blend of Economics and data analytics.
• Internship opportunities: Project internships with some of our industry leaders deepens the skills set.
• Club Activities: Students can involve themselves in various clubs such as the Economics Club, Fun Club, Data Analytics, Data Security Club, Data Security Club, Artificial Intelligence Club
• Data Analysis Labs: All labs are equipped with state of art data analysis software and databases

| What you will learn?

• Engage in continuous reflective learning in the context of technology and scientific advancement. 
• Identify the need and scope of interdisciplinary research. 
• Enhance research culture and uphold scientific integrity and objectivity. 
• Understand the professional, ethical, and social responsibilities. 
• Understand the importance and the judicious use of technology for the sustainability of the environment. 
• Enhance disciplinary competency, employability, and leadership skills.

| Career prospects

• Data Analyst: Analyzing large datasets for decision-making in finance, healthcare, marketing, and government.1.
• Econometrician: Modeling economic relationships and forecasting trends using statistical methods.
• Business Intelligence Analyst: Transforming data into actionable insights for strategic planning and performance monitoring.
• Quantitative Analyst: Developing financial models for pricing instruments and managing investments.
• Policy Analyst: Providing evidence-based recommendations on economic issues to policymakers.
• Market Research Analyst: Analyzing consumer behavior and market trends to guide business strategies.
• Environmental Economist: Assessing economic impacts of environmental policies and advising on sustainability.
• Data Scientist: Solving complex business problems using advanced analytics and machine learning.
• Consultant: Offering economic analysis and strategic planning expertise to diverse clients.
• Researcher/Academic: Contributing to cutting-edge research in economics and analytics.