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, Testing Credits: 3 hours

Statistics Core (16 credit hours)

• STAT 2600 - Data Analysis Using R Credits: 4 hours
• STAT 2630 - Introduction to Mathematical Statistics Using R Credits: 3 hours
• STAT 4640 - Introduction to Statistical Computing Credits: 3 hours
• STAT 5680 - Regression Analysis Credits: 3 hours
• STAT 5870 - Big Data Analysis Using Python Credits: 3 hours

Electives (6 credit hours)

Two courses from Statistics and/or Computer Science:

STAT (STAT 5610, STAT 5660, STAT 5820, STAT 5670, STAT 5850, STAT 5860)
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.