Analytics - Minor

Analytics is the use of data, information technology, statistical analysis, quantitative methods, and mathematical and computer-based models to help decision-makers gain insight about their operations and make better data-based decisions. Students complete 18 credits hours in this minor.

Student Learning Outcomes

Students will be able to:

Analyze data, determine its validity; test claims; and draw valid conclusions using appropriate statistical methodology;
Retrieve, organize and manipulate data using a variety of analytical tools.
Use data visualization tools to effectively communicate results to multiple audiences.

Required Courses

MTH 207 - PII Elementary Statistics Credits: 3 (minimum grade of “B” or higher required) or MTH 208 PII Statistics for Scientists Credits: 3 (minimum grade of “C” or higher required)
MTH 308 - Applied Statistics and Visualization Credits: 3
MKT 327 - Applied Research Methods Credits: 3
CIS 241 - Spreadsheet Applications Credits: 3

Electives

Students must complete two courses (six credit hours) from the following:

CIS 240 - Systems Analysis and Design Credits: 3
CIS 340 - Computer Programming Credits: 3 (requires pre-requisite of CIS 240 )
CIS 366 - Information Systems Project Management Credits: 3 (requires pre-requisite of CIS 240 )
CIS 370 - Database Design Credits: 3 (requires pre-requisite of CIS 240 , CIS 241 )
MTH 244 - Mathematical Programming Credits: 3 (requires pre-requisite of MTH.Q 113 )
MTH 325 - Mathematical Modeling with Differential Equations Credits: 3 (requires pre-requisites of MTH.Q 113 and MTH 212 )
CIS Internship in the area of analytics (disciplinary area would depend on type of internship; must be approved by program director)