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 434 or

EC 435

Environmental Economics or Natural Resource Economics

434: Winter, Spring

435: Not offered in 22/23

EC 443 Health Economics Fall, Spring
EC 451 Issues in Labor Economics Winter
EC 460 Theories of Industrial Organization Fall, Spring

EC 482 or

EC 484

Economics of Globalization or Multinational Corporations

482: Winter, Spring

484: Spring

EC 490 Economic Growth and Development Fall