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.

*Note - Required and Elective courses in this minor typically require completion of one or more prerequisite courses. Click on each course to review the description and listing of prerequisite coursework needed.

Required Courses

Complete one introductory statistics course:
MTH 208 - Statistics for Scientists Credits: 3 (minimum grade of”C” required)
NOTE - MTH*208 is the preferred and recommended introductory statistics course. However, the following additional course options are also acceptable to meet this requirement:
- PSY 200 Statistics and Research Methods for Clinical Practice Credits: 4 (minimum grade of “B” required)
- PSY 202 Statistics and Research Methods II Credits: 4 (minimum grade of “B” required)
- MTH 207 Elementary Statistics Credits: 3 (minimum grade of “B” required)
  - A score of 3 in AP Statistics does not equate to the required minimum grade of “B” for MTH*207. In this case, students must take MTH*208 and receive a grade of “C” or better before taking MTH*308.
Plus, complete the following upper level statistics course:
MTH 308 - Applied Statistics and Visualization Credits: 3
Plus, complete one programming course from the following:
CIS 340 - Computer Programming Credits: 3
MTH 244 - Mathematical Programming Credits: 3
Plus, complete one data tool course from the following:
CIS 241 - Spreadsheet Applications Credits: 3
CIS 370 - Database Design Credits: 3

Electives

Students must complete two courses (six credit hours) from the following (courses completed in fulfillment of a Required Course cannot also be used to fulfill an Elective Course):

CIS 240 - Interaction Systems Analysis and Design Credits: 3
CIS 370 - Database Design Credits: 3
MKT 327 - Applied Research Methods Credits: 3
MTH 325 - Mathematical Modeling with Differential Equations Credits: 3
CIS Internship in the area of analytics (disciplinary area would depend on type of internship; must be approved by program director)