About This Programme
The B.A. Economics with Data Analytics programme blends rigorous economic theory with practical quantitative and data skills. You begin with foundations in microeconomics, macroeconomics, mathematics and statistics, and then move into econometrics, data analysis and policy‑oriented courses.
Alongside studying the Indian and global economy, you learn how to work with real‑world datasets using tools such as spreadsheets and statistical software (R / Python / similar), interpret evidence and communicate insights. This makes you well‑prepared for careers in policy, research, analytics, consulting and higher studies in economics or public policy.
Syllabus Overview
Year 1
Economic Foundations & Basic Statistics
- Principles of Microeconomics – consumer & firm behaviour, markets
- Principles of Macroeconomics – national income, inflation, unemployment
- Mathematical Methods for Economics (functions, calculus, optimisation)
- Introductory Statistics for Economics
- Indian Economy – structure, growth and development issues
- Academic Writing & Basic Data Handling (spreadsheets & data sources)
Year 2
Intermediate Theory, Econometrics & Data Analysis
- Intermediate Microeconomics (game theory, market failures, welfare)
- Intermediate Macroeconomics (growth, business cycles, open economy)
- Probability Theory & Statistical Inference
- Econometrics I – linear regression, model diagnostics
- Data Analysis with Statistical Software (R / Python / equivalent)
- Development Economics / Public Economics (policy‑focused)
Year 3
Advanced Applications, Policy & Analytics
- Econometrics II – panel data, limited dependent variables (intro)
- Time Series Analysis / Forecasting for Economics (concepts & applications)
- Data Visualisation & Reporting for Economic Analysis
- Indian Economic Policy & Sectoral Studies
- Electives: International Economics / Labour / Environmental Economics*
- Seminar / Research Methods & Data‑driven Project
*Exact elective titles may vary as per university curriculum and academic regulations.
Projects
Empirical Work, Policy Briefs & Capstone
- Data projects using publicly available economic datasets
- Policy briefs on current issues (inflation, inequality, labour, trade, etc.)
- Survey‑based mini research projects
- Econometric analysis using R / Python / statistical packages
- Final‑year dissertation or capstone project with presentation
