Background Support (8 credit hours)

• MATH 1220 - Calculus I Credits: 4 hours
• MATH 2300 - Elementary Linear Algebra Credits: 4 hours

Computer Science Core (15 credit hours)

• CS 2610 - R Programming for Data Science Credits: 4 hours
• CS 3100 - Storage, Retrieval, and Processing of Big Data Credits: 3 hours
• CS 5821 - Machine Learning Credits: 3 hours
• CS 4900 - Software Systems Development I: Requirements and Design Credits: 3 hours
• CS 4910 - Software Systems Development II: Implementation and Testing Credits: 2 hours

Statistics Core (16 credit hours)

• STAT 2600 - Statistics Using R Credits: 4 hours
• STAT 4640 - Introduction to Statistical Computing Credits: 3 hours
• STAT 5680 - Regression Analysis Credits: 3 hours
• STAT 5850 - Applied Data Mining Credits: 3 hours
• STAT 5860 - Computer Based Data Analysis Credits: 3 hours

Electives (6 credit hours)

Two courses from Statistics and/or Computer Science:

STAT (from 5000-level including STAT 5610, STAT 5660, STAT 5820, STAT 5670)
CS (CS 3400, CS 3500, CS 4430/CS 5430, CS 5180, CS 5260, CS 5300. CS 5400, CS 5550, CS 5700, CS 5820, etc.)

Other Requirements

Writing Course: CS 4900/4910
Both Statistics and Computer Science faculty may advise here. CS projects are external. STAT projects may either be external or internal through the Statistics Consulting Center.

All students are required to have a laptop.