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Applied Data Analytics, Minor


 The Minor in Applied Data Analytics allows students to choose among Information Systems, Statistics, and Marketing courses to learn about data management and analysis.

Total Program Credits: 18

Discipline Core Requirements: 6 Credits
  INFO 2410 Database Fundamentals 3
  INFO 3130 Introduction to Applied Data Analytics 3
Elective Requirements: 12 Credits
Choose 12 hours from the following: 12
  INFO 3410 Database Systems and Warehousing (3)  
  INFO 4120 Data Visualization (3)  
  INFO 4130 Data Science and Big Data Analytics (3)  
  MKTG 3680 Marketing with Social Media (3)  
  MKTG 3690 Digital Marketing Analytics (3)  
  MKTG 4610 Sales Operations (3)  
  STAT 4100 Design of Experiment (3)  
  STAT 4200 Survey Sampling (3)  
  STAT 4400 Multivariate Analysis WE (3)  
  STAT 4500 Nonparametric Statistics (3)  
  BIOL 3100 Introduction to Data Analysis for Biologists (3)  
  Other advisor-approved elective.  


Graduation Requirements:

  1. Completion of a minimum of 18 semester credits.
  2. Minimum grade of C- required in all courses.
  3. Overall grade point average of 2.0 (C) or above.
  4. Residency hours: minimum of 9 credit hours through course attendance at UVU.

Graduation Plan

This graduation plan is a sample plan and is intended to be a guide. Your specific plan may differ based on your Math and English placement and/or transfer credits applied. You are encouraged to meet with an advisor and set up an individualized graduation plan in Wolverine Track.

Semester 1 Course Title or Text Credit Hours
 INFO 2410  Database Fundamentals 3
 INFO 3130  Introduction to Applied Analytics 3
  Semester total: 6
Semester 2 Course Title or Text Credit Hours
 Minor Elective 3
  Semester total: 3
Semester 3 Course Title or Text Credit Hours
 Minor Elective 3
  Semester total: 3
Semester 4 Course Title or Text Credit Hours
 Minor Elective 3
  Semester total: 3
Semester 5 Course Title or Text Credit Hours
 Minor Elective 3
  Semester total: 3
  Degree total: 18


Information Systems and Technology

The Information Systems and Technology department is in the   Scott M. Smith College of Engineering. To find the most up-to-date information, including Program Learning Outcomes for degree programs offered by the Information Systems and Technology department, visit their website.

Information Systems and Technology department

Program Details

Program Learning Outcomes
  1. An ability to apply knowledge of computing and mathematics appropriate to Data Analytics.
  2. An ability to analyze a problem, and identify and define computing requirements appropriate to its solution.
  3. An ability to design, implement, and evaluate a computer-based system, process, component, or program to meet the needs of an organization and its users.
  4. An ability to function effectively on teams to accomplish a common goal.
  5. An ability to communicate effectively with a range of audiences, both in written and oral forms.
  6. An ability to use current techniques, skills, and tools necessary for Data Analytics.
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