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.




Bachelor of Arts in Economics/Computer Science

Requirement Course Name / Criteria
Math 111 Calculus I
Math 210 Advanced Calculus for Data Sciences
Math 221 Linear Algebra
CS 170 Introduction to Computer Science I
CS 171 Introduction to Computer Science II
CS 224 Foundations of Computer Science
CS 253 Data Structure and Algorithms
Econ 101 Principles of Microeconomics
Econ 112 Principles of Macroeconomics
Econ 201 Intermediate Microeconomics
Econ 212 Intermediate Macroeconomics
Econ 220 Probability and Statistics for Economists with lab
Econ 320 Econometrics with lab
CS 325 Artificial Intelligence
CS 334 Machine Learning
Two (2) courses chosen from: Econ 421: Microeconometrics
Econ 422: Economic Forecasting
Econ 487: Game Theory & Economic Activity
CS 329: Computational Linguistics
CS 370: Computer Science Practicum
CS 470: Data Mining
Math 346: Linear Optimization
CS/Econ 480 Computing Methods in Economics


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Econ/CS BA