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Diploma in Econometrics

Indian : Rs.21240
International : $396

This course provides an introduction to the econometric techniques used to analyse data sets in economics, business and finance. The focus is on understanding the methods involved, using statistical software to provide the results and then interpreting and commenting on these results. The course reviews basic statistics, regression and inference, and then introduces multiple regression analysis, which remains the most commonly used statistical technique in econometrics. 

  • To understand the theoretical properties of different econometric estimation and testing procedures under various modelling assumptions
  • To be able to formulate, estimate, test and interpret suitable models for the empirical study of economic phenomena;
  • To be able to demonstrate an ability to apply regression techniques using econometric software and be able to program simple estimation routines.
  • To feel confident about reading and interpreting applied economic journal articles.
  • The financial sector (stockbrokers, insurance and finance companies, banks);
  • Consulting firms (evaluating management systems, exploring economic trends);
  • Marketing and retailing (market research, logistics, quantitative business analysis);
  • The manufacturing sector (providing quality control, designing new products), and many other areas.

Introduction to Econometrics

  • Ordinary Least Squares and the Simple Linear Regression Model
  • Endogenous Regressors and Instrumental Variables
  • The Simple Linear Regression Model
  • Statistical Inference and the Classical Linear Regression Model
  • The Classical Linear Regression Model
  • Confidence Intervals and Hypothesis Tests in the Simple CLR Model
  • Using the CLR Model
  • The multiple Classical Linear Regression model
  • Multicollinearity
  • Functional form
  • Dummy variables - Part
  • The measurement of gender discrimination
  • Heteroskedasticity
  • Serial correlation: testing and estimation

Introduction to Probability & Statistics

  • Random Variables and Expectation
  • Densities and distributions
  • Independence
  • Conditioning
  • Special probability distributions
  • Sampling and sampling distributions
  • Summarizing sample data
  • Point Estimation
  • Hypothesis Testing

Introduction to Economics

  • Scarcity and Choice
  • Production Possibilities Frontier
  • A Tour of the Economy
  • Supply and Demand Book
  • Price Controls
  • Health Care
  • Financial Markets Page
  • Gross Domestic Product
  • Unemployment and Inflation
  • Aggregate Demand and Aggregate Supply
  • Fiscal Policy
  • Money and Monetary Policy Book
  • Social Security
  • Costs & Profits
  • Trade
  • Externalities and Market Failure
  • Special Topics

PDF, moodle books


The diploma in econometrics provides ideal preparation for a career in the public sector.


Additional reading will be given to students.

Frequently Asked Questions

What is the level of this course?
This is an undergraduate diploma.

Will I get any credit from this course?
You will get 120 credits.

Is there any assessment for this course? 
Yes. Each module has one or more assessments that you have to pass in order to get your diploma.

Is there a thesis/project in this  course?

What is the duration of this  course?
1 year for full time students and 2 years for part time students.

What is the study mode of this course?

Full time or Part time.

What is the delivery mode of this course?

Fully online.

When can I start this course?


Can I finish this program earlier?


Can I contact the professor in this course?

Yes, through the platform.



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