The updated curriculum consists of three required courses (9 credits) and one elective
course (3 credits) for a total of 12 credits. The program is 100% online.
Required Courses (9 credits)
DAVA 7000: Data Visualization
DAVA 6010: Data Mining
PSMA 6002: Research Methods and Statistical Analysis
MATH 6811: Statistics for Data Science (for students who demonstrate the required
competencies from Undergraduate Calculus 1 and 2, and Statistics)
or BIOL 6113, CHEM 6212, GMHS 7500 and 7508, HCAD 6002, PSYC 6100 and 6200 (for majors
with these courses)
Elective Course (Choose one of the following 3-credit courses)
PSYC 7214: Cognition for Visualization
DAVA 7111: Text Mining
DASC 8211: Machine Learning (for students who have earned at least a B- in DAVA 6010
Data Mining, have passed an undergraduate statistics course or have earned at least
a B- in one of the required graduate statistics courses, and have passed Undergraduate
Calculus I or demonstrate the required skills)
Credits for Graduate Programs
The graduate certificate provides credits for three graduate programs in the College
of Arts and Sciences: M.S. in Data Science, Master of Public Administration and M.S.
in Experimental Psychology. Nine credits count equally for all programs; the remaining
credits depend on the statistics course.
M.S. in Data Science: Total of 12 credits towards the curriculum if MATH 6811 is taken
Master of Public Administration: Total of 12 credits towards the curriculum if PSMA 6002 or MATH 6811 is taken
M.S. in Experimental Psychology: Total of 15 credits towards the curriculum if PSYC 6100 and 6200 are taken.