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Data Analytics and Decision Making, Certificate of Proficiency


The Certificate of Proficiency in Data Analytics and Decision Making provides a skill set of recognizing the importance of data for solving operational, tactical, and strategic level organizational problems. Students will learn how to evaluate the characteristics, capabilities, and limitations of digital data as well as understand data-related laws and ethical practices. Courses cover topics related to the data analytics process, business rule modeling, data transformation, data management, applied statistics, data visualization, storytelling, and the ethical considerations of data analytics.

Total Program Credits: 18

Discipline Core Requirements: 18 Credits
  MGMT 1400 Introduction to Data Analytics 3
  CS 1400 Fundamentals of Programming 3
  MATH 1050 College Algebra QL (MATH 1050 or higher) 1 3
Complete one of the following: 3
  MATH 1100 Survey of Calculus QL (4) 3  
  MGMT 2240 Business Calculus (3)  
  MGMT 2340 Business Statistics I (3)  
  STAT 2050 Introduction to Statistical Methods (4)  
 Elective Requirements: 6 Credits
Choose six credits from the following: 2 6
  MGMT 2400 Data Analytics for Business (3)  
  MGMT 2240 Business Calculus (3)  
  MGMT 2340 Business Statistics I (3)  
  MKTG 3300 Marketing Analytics (3)  
  CS 1410 Object-Oriented Programming (3)  
  CS 2420 Introduction to Algorithms and Data Structures (3)  
  STAT 2050 Introduction to Statistical Methods (4)  
  BIOL 3100 Introduction to Data Analysis for Biologists (3)  
  BIOL 1011 Introduction to Bioinformatics (3)  


  1. Math courses numbered higher than MATH 1050 may also be used to fulfill the requirement.
  2. Cannot use courses as electives that were counted in the core.
  3. If this course was used to fulfill the MATH 1050 requirement, a different course must be selected for this category.

Graduation Requirements:

  1. Completion of a minimum of 18 semester credit hours.
  2. Overall grade point average 2.0 (C-) or above.
  3. Residency hours: Minimum of 5 credit hours of 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
MATH 1050 College Algebra QL 3
MGMT 1400 Introduction to Data Analytics 3
CS 1400 Fundamentals of Programming 3
  Semester total: 9
Semester 2 Course Title Credit Hours

MATH 1100 or MGMT 2240 or 2340 or STAT 2050

Survey of Calculus QL or Business Calculus or Business Statistics I or Introduction to Statistical Methods 3
Complete  6 credits of electives from list. 6
  Semester total: 9
  Degree total: 18


Strategic Management and Operations

The Strategic Management department is in the Woodbury School of Business. To find the most up-to-date information, including Program Learning Outcomes for degree programs offered by the Strategic Management department, visit their website.

Strategic Management department

Program Details

Program Learning Outcomes
  1. Identify and apply an appropriate statistical or analytical modeling methodology to solve an analytics problem.
  2. Design and deliver visualizations, professional reports and presentations that effectively communicate the results of complex analytics problems.
  3. Students demonstrate how to manage, structure, query, and manipulate data.
  4. Students demonstrate critical thinking in their identification, analysis, and decision-making in a business analytics situation, including ethical dimensions.
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