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Data Analytics Minor

Analytics, driven by large amounts of data and computing resources, is recognized as a source of value and competitive advantage. Analyzing large data sets, including both structured and unstructured data—often referred to collectively as big data—is becoming a critical basis of competition, underpinning new waves of improved decision making and innovation.  Organizations around the world are struggling to develop the know-how to aggregate, analyze, and monetize the growing surge of available data. The business minor in Data Analytics would provide an opportunity for students majoring in various areas of business to develop basic data literacy and connect technology, statistics, and quantitative modeling that is needed to develop business intelligence and drive organizational decision-making.

Minor in Data Analytics (9 credits)
Course Description
Required Courses (6 credits)
STA/CIS 3920 Data Mining for Business Analytics 3
CIS 3120 Programming for Analytics 3
Elective Courses (3 credits) – Choose one course from the following list.
CIS 3400 Database Management Systems I 3
CIS 4170 Data Visualization 3
CIS 4400 Data warehousing for analytics 3
STA 3154 Business Statistics II 3
STA 3155 Regression and Forecasting Models for Business 3
MKT 4123 Marketing Web Analytics and Intelligence 3
MKT 4561 Marketing Analytics 3
MGT 3500 Management Science 3
OPR 3450* Quantitative Decision Making for Business I 3
* Students receiving credit for MGT 3500 will not also receive credit for OPR 3450.