A total of sixty-four (64) credits as follows:
Required data analytics courses (16 credits):
- COMP 141: Programming Fundamentals
- DATA 242: Program Design and Data Structures for Data Analytics or COMP 241: Data Structures and Algorithms
- DATA 244/MATH 244: Introduction to Data Analytics and Visualization
- DATA 344/COMP 344/MATH 344: Advanced Methods in Data Analytics
Required economics and mathematics courses (40 credits):
- MATH 115, 116, or 122 (a calculus course)
- ECON 100: Introduction to Economics
- ECON 201: Intermediate Microeconomics
- ECON 202: Intermediate Macroeconomics
- ECON 290: Statistical Analysis for Economics and Business
- ECON 412: Data Management and Analysis
- ECON 420: Econometrics
- ECON 440: Advanced Econometrics
- ECON 486: Senior Seminar
- Four additional credits in economics (not including ECON 460 or 461)
One course in ethics (4 credits):
- PHIL 320: The Ethics of Artificial Intelligence
Elective courses, one of the following numbered 300 or up (4 credits):
- COMP 345: Data Mining
- COMP 340: Databases
- COMP 375: Machine Learning
- MATH 307: Bayesian Statistical Analysis
- MATH 333: Time Series and Forecasting
- MATH 335: Stochastic Processes