3 Years
Under Graduate
Commerce
Distance
Explore BCom Econometrics via distance education. Study syllabus online, learn statistical analysis & economic trends. Enroll today.
The syllabus for BCom Econometrics distance education generally includes courses in microeconomics, macroeconomics, mathematical economics, statistics, econometric methods, time series analysis, and data analysis. Students are introduced to concepts such as demand and supply, market structures, national income determination, economic growth, and more. They delve into statistical techniques like regression analysis, hypothesis testing, and probability distributions. Advanced topics like panel data analysis, multivariate regression, and forecasting techniques are also commonly covered.
The study part of this program involves a blend of self-paced learning and interactive sessions. Students receive study materials such as textbooks, lecture notes, and online resources to understand the theoretical concepts. They engage in assignments, projects, and practical exercises to apply the acquired knowledge to real-world scenarios. Online platforms often facilitate discussions, webinars, and doubt-clearing sessions, allowing students to interact with instructors and peers.
| Semester | Subject | Topics Covered |
|---|---|---|
| 1 | Statistical Methods for Economics | - Descriptive Statistics |
| - Probability and Probability Distributions | ||
| - Statistical Inference and Hypothesis Testing | ||
| - Introduction to Sampling and Estimation | ||
| Mathematical Economics | - Functions and Graphs | |
| - Optimization Techniques | ||
| - Introduction to Calculus and Linear Algebra | ||
| - Application of Mathematics in Economics | ||
| 2 | Econometric Methods I | - Introduction to Econometrics |
| - Simple and Multiple Linear Regression | ||
| - Assumptions and Violations in Regression | ||
| - Estimation, Inference, and Hypothesis Testing | ||
| - Dummy Variable Regression and Multicollinearity | ||
| Quantitative Techniques in Economics | - Time Series Analysis | |
| - Index Numbers and Time Series Forecasting | ||
| - Analysis of Variance and Experimental Designs | ||
| - Non-Parametric Tests and Applications | ||
| 3 | Econometric Methods II | - Heteroscedasticity and Heteroscedasticity Robust Methods |
| - Panel Data Analysis | ||
| - Instrumental Variables and Two-Stage Least Squares (2SLS) | ||
| - Advanced Regression Techniques | ||
| Advanced Econometric Models | - Discrete Choice Models | |
| - Time Series Models | ||
| - Nonlinear Regression Models | ||
| - Simultaneous Equation Models | ||
| 4 | Research Project | - Topic Selection and Proposal |
| - Literature Review and Data Collection | ||
| - Data Analysis and Interpretation | ||
| - Report Writing and Presentation |
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