Analytics and Data Science, Ph.D.

Statistics Core (24 Credit Hours)

• STAT 8020 - Advanced Programming in SAS
• STAT 8240 - Data Mining
• STAT 8250 - Data Mining II
• STAT 8260 - Segmentation Models
• STAT 8330 - Applied Binary Classification

Mathematics Core (9 Credit Hours)

• MATH 8010 - The Theory of Linear Models
• MATH 8020 - Graph Theory
• MATH 8030 - Applied Discrete & Combinatorial Mathematics for Data Analysts

Computer Science Core (15 Credit Hours)

• ACS 7410 - Parallel and Distributed Computing
• ACS 7420 - Algorithm Design for Big Data
• ACS 7510 - HPC Infrastructure
• ACS 8310 - Data Warehousing

Additional Required Courses (30 Credit Hours)

Take a combination of courses to total 30 credit hours from the following:

• DS 9700 - Doctoral Internship
• DS 9900 - Ph.D. Dissertation Research
• Two free electives, to be selected from the Statistics, Mathematics, or Computer Science content area.

Program Total (78 Credit Hours)