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 512||INTRODUCTION TO DATA SCIENCE AND ANALYTICS||3|
|CIS 600||MACHINE LEARNING FOR DATA SCIENCE||3|
|MAT 616||ELEMENTS OF MATHEMATICS, PROGRAMMING AND COMPUTER SCIENCE FOR DATA SCIENCE||3|
|MAT 646||INTRODUCTION TO STATISTICS FOR DATA SCIENCE||3|
|SPF 689||METHODS AND TECHNIQUES OF EDUCATIONAL RESEARCH||3|
|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|
|PROJECT MANAGEMENT FOR MATH AND SCIENCE PROFESSIONALS|
|Or additional elective courses by advisement|
|Total Credit Hours||30|