Data Science and Analytics, M.S.

1. A bachelor’s degree from an accredited college or university with a minimum cumulative GPA of 2.5 (4.0 scale).

2. A two- to three-page statement of intent (essay) that includes the following:
-educational and professional objectives; and
-an explanation of the reasons for interest in data science and analytics

3. An interview with the program coordinator. The program coordinator will contact the student for an appointment after the completed application is received.

In addition, all applicants must review the Admission to a Graduate Program section in this catalog.

Required Courses (18 credit hours)
CIS 512INTRODUCTION TO DATA SCIENCE AND ANALYTICS3
CIS 600MACHINE LEARNING FOR DATA SCIENCE3
MAT 616ELEMENTS OF MATHEMATICS, PROGRAMMING AND COMPUTER SCIENCE FOR DATA SCIENCE3
MAT 646INTRODUCTION TO STATISTICS FOR DATA SCIENCE3
SPF 689METHODS AND TECHNIQUES OF EDUCATIONAL RESEARCH3
XXX 690 Master's Project 3
(where XXX is the department of the student's Master's Project Adviser
Elective Courses (12 credit hours)12
Choose four courses by advisement from the following (each course is 3 credit hours)
COMMUNICATION FOR LEADERS AND MANAGERS
DATA ORIENTED COMPUTING AND ANALYTICS
DATA STRATEGY AND GOVERNANCE
GEOSPATIAL PROGRAMMING
PROJECT MANAGEMENT FOR MATH AND SCIENCE PROFESSIONALS
Or additional elective courses by advisement
Total Credit Hours30