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Data Analytics, Certificate of Proficiency


A Certificate of Proficiency in Data Analytics allows employees who do not have a degree to obtain a credential to advance their career prospects. A certificate also allows those individuals who earned degrees outside the computing fields to obtain a credential in Data Analytics to increase their value to their current or future employers.

Total Program Credits: 18

Matriculation Requirements:  

Prerequisites may be fulfilled through successful completion of courses listed or by successfully passing challenge exams in areas where challenge exams exist. Statistics Prerequisites:

  • STAT 2050 Introduction to Statistical Methods (4.0) or
  • MGMT 2340 Business Statistics I (3.0) or
  • STAT 1040 Introduction to Statistics QL (3.0) or
  • STAT 1045 Introduction to Statistics with Algebra QL (3.0) or
  • STAT 2040 Principles of Statistics QL (3.0) or
  • BESC 3010 Statistics for the Behavioral Sciences (4.0)     
  • Other CS, DGM, IT, or Marketing Prerequisites (depending on elective)   
Discipline Core Requirements: 15 Credits
  INFO 2410 Database Fundamentals 3
  INFO 3130 Introduction to Applied Data Analytics 3
  INFO 3410 Database Systems and Warehousing 3
  INFO 4120 Data Visualization 3
  INFO 4130 Data Science and Big Data Analytics 3
Elective Requirements: 3 Credits
Choose 3 credits from the following courses:   3
  CS 4620 Data Mining (3.0)  
  DGM 3750 Media Analytics (3.0)  
  INFO 4135 Data Security Analytics (3.0)  
  INFO 4410 Database Administration (3.0)  
  MKTG 3690 Digital Marketing Analytics (3.0)  
  MKTG 4610 Sales Operations (3.0)  
  STAT 4100 Design of Experiment (3.0)  
  STAT 4200 Survey Sampling (3.0)  

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 Credit Hours
INFO 2410 Database Fundamentals 3
  Semester total: 3
Semester 2 Course Title Credit Hours
INFO 3130 Introduction to Applied Data Analytics 3
INFO 3410 Database Systems and Warehousing 3
  Semester total: 6
Semester 3 Course Title Credit Hours
INFO 4120 Data Visualization 3
INFO 4130 Data Science and Big Data Analytics 3
Elective 3
  Semester total: 9
  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. Develop technical and analytical skills which will complement professional expertise across a broad array of disciplines.
  2. Apply knowledge of computing and mathematics appropriate to Data Analytics.
  3. Analyze a problem, and identify and define computing requirements appropriate to its solution.
  4. Design, implement, and evaluate a computer-based system, process, component, or program to meet the needs of an organization and its users.
  5. Function effectively on teams to accomplish a common goal.
  6. Communicate effectively with a range of audiences, both in written and oral forms.
  7. Use current techniques, skills, and tools necessary for Data Analytics.
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