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Economics/Computer Science BA

Degree Description

The Economics/Computer Science BA combines economic reasoning, empirical methods and data analytics, knowledge of machine learning, and artificial intelligence to empower students in a digital economy.

GPA Requirement

All classes counting toward the degree must be taken for a letter grade. Students must meet the minimum GPA requirement of 2.0 to graduate with any major or minor from the department. Major/Minor GPA will be calculated using the better of the grades when a student repeats a course.

Course Requirements

RequirementCourse Name / Criteria
Math 111Calculus I
Math 210Advanced Calculus for Data Sciences
Math 221Linear Algebra
CS 170Introduction to Computer Science I
CS 171Introduction to Computer Science II
CS 224Foundations of Computer Science
CS 253Data Structure and Algorithms
Econ 101Principles of Microeconomics
Econ 112Principles of Macroeconomics
Econ 201Intermediate Microeconomics
Econ 212Intermediate Macroeconomics
Econ 220Probability and Statistics for Economists with lab
Econ 320Econometrics with lab
CS 325Artificial Intelligence
CS 334Machine Learning
Two (2) courses chosen from:

Econ 312: Economics of Digital Assets
Econ 421: Microeconometrics
Econ 422: Economic Forecasting
Econ 487: Game Theory & Economic Activity
CS 329: Computational Linguistics
CS 370: Computer Science Practicum
CS 377: Database Systems
CS 470: Data Mining
Math 346: Linear Optimization

CS/Econ 480Computing Methods in Economics