Graduate Certificate in Big Data

Organizations need to manage Big Data as they continue to capture, store, search, share, visualize and analyze massive, unstructured, and complicated data sets. In response to the growing demand to manage Big Data across all sectors (private, public, government and academic), the GPS department has created the Graduate Certificate in Big Data. This certificate will allow professionals to understand these massive datasets by having the analytics skills needed to work in this high demand field.

Certificate Completion Requirements

To complete the Graduate Certificate in Big Data, the student must complete four required SEIS graduate courses (12 graduate semester credits) with at a GPA of 2.7 or better.

NOTE: Students have the option to use the coursework from the Graduate Certificate in Big Data to continue in the Master of Science degree.

Required Courses

Required Courses [4 courses]:

  • SEIS 630 Database Management Systems and Design
  • SEIS 736 Big Data Architecture
  • SEIS 737 Big Data Management
  • SEIS 734 Data Mining OR SEIS 738 Data Science

 View SEIS Course Catalog.

Entrance Requirements

  1. A bachelor's degree in any discipline from a regionally-accredited educational institution in the U.S. (or international equivalent). 
  2. An overall grade-point-average (GPA) of at least 2.7. (Applicants with a GPA less than 2.7 will be considered for provisional admission with their professional experience factored into the decision.)
  3. Applicants can be admitted without Java programming experience; however, programming in Java is required to complete both SEIS 736 and SEIS 737 courses in the Graduate Certificate in Big Data.

 

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