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.

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 a Master of Science degree program offered by Graduate Programs in Software.

Current and inactive students who enrolled in this program prior to fall 2018 may opt to remain with the graduate program requirements from their current catalog, or move forward to the newest graduate program requirements for the Graduate Certificate in Big Data.

Graduate Certificate in Big Data Program Requirements for catalogs prior to fall 2018:

 

Required Courses [5 courses]:

  • SEIS 603 Foundations of Software Development - Python
  • SEIS 630 Database Management Systems and Design
  • SEIS 632 Data Analytics and Visualization
  • SEIS 736 Big Data Architecture
  • SEIS 737 Big Data Management

View SEIS Course Catalog.

  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.)

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