This post-degree professional certificate program prepares students to use tools and techniques to understand and transform data, to apply statistics to find patterns and correlations, and to use modern reporting and analysis tools to find and communicate insight from big data.

Program contact: Learn more

This certificate will be automatically awarded when the certificate requirements are completed. If you do not want to receive the certificate, please notify the Office of the Registrar at

Learn more here and here about how certificate credits apply to the related degrees.

Students must have earned an Associate's degree or higher to enroll in this program.

 Program Learning Outcomes

  1. Understand, build, and manipulate 2-dimensional and 3-dimensional data structures and indexes.
  2. Understand, build, and manipulate complex SQL queries.
  3. Understand, build, and manipulate data transfer tools & data interfaces.
  4. Understand and maintain data validation and governance.
  5. Utilize effective communication skills to work within teams to successfully deliver projects.
  6. Using modern reporting and presentation tools (i.e. SAS, TABLEAU, COGNOS) query and extract data to produce meaningful business insights.

Suggested Semester Sequence

Plan of Study Grid
First SemesterCredit Hours
IT-1025 Information Technology Concepts for Programmers 3
IT-1080 Introduction to Data Analytics 4
Select one of the following: 3
Elementary Probability and Statistics I  
Business Probability and Statistics I  
 Credit Hours10
Second Semester
IT-1050 Programming Logic 3
IT-2351 Enterprise Database Systems 4
Select one of the following: 3
Elementary Probability and Statistics II  
Business Probability and Statistics II  
 Credit Hours10
Summer Completion
IT-2080 Data Visualization 4
IT-2090 Data Analytics Programming 4
 Credit Hours8
 Total Credit Hours28