Learn Econometrics Online | IIT Madras Course with Prof. Sabuj Mandal
Course Details
| Exam Registration | 308 |
|---|---|
| Course Status | Ongoing |
| Course Type | Elective |
| Language | English |
| Duration | 12 weeks |
| Categories | Humanities and Social Sciences, Economics, Managerial Economics |
| Credit Points | 3 |
| Level | Undergraduate |
| Start Date | 19 Jan 2026 |
| End Date | 10 Apr 2026 |
| Enrollment Ends | 02 Feb 2026 |
| Exam Registration Ends | 20 Feb 2026 |
| Exam Date | 17 Apr 2026 IST |
| NCrF Level | 4.5 — 8.0 |
Master Data Analysis with Introduction to Econometrics from IIT Madras
In today's data-driven world, the ability to measure relationships, test theories, and extract meaningful insights from information is a superpower. Econometrics provides the essential toolkit. This 12-week undergraduate course, Introduction to Econometrics, offered by the prestigious Indian Institute of Technology Madras (IITM), is your gateway to mastering this powerful discipline.
Taught by the acclaimed Prof. Sabuj Kumar Mandal, this course demystifies how we use economic data, mathematics, and statistics to validate economic theories and uncover cause-effect relationships. The applications extend far beyond economics into finance, management, engineering, and various sciences, making this expertise highly valuable across industries.
About Your Instructor: Prof. Sabuj Kumar Mandal
Learning from an expert matters. Prof. Mandal is an Associate Professor in the Department of Humanities and Social Sciences at IIT Madras. His distinguished academic journey and research excellence bring immense depth to this course.
- Education: Holds a B.Sc. in Economics, an M.Sc. in Economics with a specialization in Econometrics, and a doctoral degree in economics.
- Research Expertise: His interests span Applied Econometrics, Energy & Environmental Economics, Climate Change Adaptation, and Behavioral Economics.
- Awards & Recognition: Recipient of the Young Economist Award 2015 from the Indian Econometric Society and the prestigious Fulbright Nehru Academic and Professional Excellence Award 2020-21.
- Teaching Philosophy: Aims to bridge complex theory with practical, real-world application, ensuring students can formulate and solve empirical problems.
Who Should Take This Course?
This course is meticulously designed for a broad audience. The only prerequisite is a basic understanding of inferential statistics.
- Intended Audience: Undergraduate students, professionals, and anyone interested in data analysis.
- Academic Fields: Ideal for students of Economics, Finance, Management, Social Sciences, and Engineering.
- Industry Relevance: Directly supports careers in Banking, Analytics, Audit firms, Consulting, and Research.
What You Will Learn: 12-Week Course Breakdown
The course is structured to take you from foundational concepts to advanced modeling techniques. Here’s a detailed week-by-week layout:
| Week | Topics Covered |
|---|---|
| Week 1-2 | Foundations: Introduction to Econometrics, Steps in Analysis, Introduction to the Classical Linear Regression Model (CLRM) and its assumptions. |
| Week 3-5 | Estimation & Inference: Properties of Ordinary Least Squares (OLS) estimators, Hypothesis Testing, Goodness of Fit (R²). |
| Week 6-7 | Advanced Regression: Multiple Linear Regression, Model Specification (Adjusted R²), F-statistics for model significance. |
| Week 8-9 | Dummy Variables & Structural Breaks: ANOVA, ANCOVA models, Difference-in-Differences for impact evaluation, Chow Test. |
| Week 10-11 | Diagnostics & Remedies: Detecting and fixing Multicollinearity, Autocorrelation, and Heteroskedasticity. Introduction to Qualitative Response Models (Logit). |
| Week 12 | Advanced Models: Probit Model, Tobit Model (Limited Dependent Variable), and model selection criteria. |
Key Learning Outcomes
By the end of this comprehensive course, you will be able to:
- Formulate an econometric model to analyze real-world data.
- Estimate relationships using regression analysis and interpret the results statistically.
- Test hypotheses and validate economic theories empirically.
- Diagnose common problems in regression models (like multicollinearity) and apply remedial measures.
- Apply advanced techniques like dummy variable models and qualitative choice models (Logit/Probit).
- Use these skills in your area of interest, significantly enhancing your research and job prospects.
Recommended Textbooks
To complement the video lectures and assignments, the course aligns with two classic textbooks, making your learning seamless:
- Basic Econometrics by Damodar N. Gujarati
- Introductory Econometrics: A Modern Approach by Jeffrey M. Wooldridge
Why Choose This Econometrics Course?
Industry-Aligned Skills: Gain proficiency in the quantitative tools most sought after by banks, analytics firms, and consultancies.
Academic Rigor with Clarity: Benefit from IIT Madras's academic excellence delivered through Prof. Mandal's clear and applied teaching methodology.
Career Catalyst: An expertise in econometrics is a significant differentiator, opening doors to roles in data science, economic analysis, policy research, and more.
Practical Application: Move beyond abstract theory to hands-on model building, testing, and interpretation—the core of data-driven decision making.
Embark on your journey to becoming a proficient data analyst. Enroll in Introduction to Econometrics and unlock the power to measure, test, and understand the world through data.
Enroll Now →