Course Information

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Overview of Course Information

The MSDSA program offers both thesis and non-thesis options. Both options require a minimum of 30 credits. Students are required to take one common core course, two additional core courses, four concentration courses and three elective courses for the total of 30 credits. The exact courses taken are to be determined by the students and their advisory committee. The thesis option requires only one elective course and 6 thesis credits. Students selecting the thesis option must complete and defend a written thesis successfully.

Common Core Courses
CAP 5768 - Introduction to Data Science	3
ISM 6404 - Introduction to Business Analytics and Big Data	3
Take one additional core course
STA 5195 - Biostatistics	3
CAP 6673 - Data Mining and Machine Learning	3
POS 6934 - Special Topics (Quantitative Methods)	3
Take four concentration courses
COM 6316 - Quantitative Communication Research	3
ISM 6136 - Data Mining and Predictive Analytics	3
ISM 6217 - Database Management Systems	3
ISM 6405 - Advanced Business Analytics	3
ISM 6555 - Social Media and Web Analytics	3
QMB 6303 - Data Management and Analysis with Excel	3
QMB 6603 - Data Analysis for Managers	3
Take three elective courses from the list on the program sheet. (See link below.) Thesis option requires only one elective course and 6 thesis credits.

Additional details about the program courses can be found in the following document:
- Program Sheet (pdf)

Interested in learning more about the tools/software/programs we use?
Check out our Course Tool List Document to view a list of all the tools/software/programs used