Technological advances, including product scanners, online retail, internet search engines, and satellite/remote-sensing technology, have led to an explosion in the types and quantity of data available for economic analysis. Economists study economic data using a specialized statistical toolkit known as econometrics, and data science techniques are an increasingly important part of this toolkit.
Researchers use econometrics and data science to study a wide variety of topics, such as the effects of public policy, the evolution of industry, economic forecasting, and the forces driving inequality, economic development, and the environment.
In the economics domain of the data science major, you will learn how to apply modern economic data analysis to a wide range of economic phenomena and to draw conclusions useful for economic decision making.
Domain Requirements
You will take three economics domain core courses and four courses from the electives menu.
Economics Core Courses (all three required)
| course | title | quarter offered* |
|---|---|---|
| EC 201 | Introduction to Economic Analysis: Microeconomics | Fall, Winter, Spring |
| EC 311 | Intermediate Microeconomic Theory | Fall, Winter, Spring |
| EC 320 | Introduction to Econometrics | Fall, Winter, Spring |
Economics Electives (choose three in addition to EC 421)
| course | title | quarter offered* |
|---|---|---|
| EC 410 | Economics of Crime | Fall |
| EC 421 | Introduction to Econometrics | Fall, Winter, Spring |
| EC 422 | Economic Forecasting | Not Offered in 22/23 |
| EC 428 | Behavioral and Experimental Economics | Not Offered in 22/23 |
| EC 443 | Health Economics | Fall, Spring |
| EC 460 | Theories of Industrial Organization | Fall, Spring |
|
EC 482 or EC 484 |
Economics of Globalization or Multinational Corporations |
482: Winter, Spring 484: Spring |