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)

• CS 7260:Advanced Database Systems
• CS 7265:Big Data Analytics
• CS 7267:Machine Learning

• Plus any two additional CS 7000 or above, level courses for six (6) credit hours

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)