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.

In response to COVID-19, the University of St. Thomas has made prudent decisions to act on the advice of state and medical professionals. For fall 2020, all our classes in our Graduate Programs in Software and Data Science which are normally delivered in an on-campus classroom format, will be delivered live online. The classes will still be held during their normal time on weeknights and Saturdays. 

We are happy to help you in every way possible on your journey to apply, register, and start classes. Each of our classes meet once a week or every other Saturday.

Our staff and faculty are ready to assist you with your questions so e-mail us at gradsoftware@stthomas.edu.  That is why we are here.   

To complete the Graduate Certificate in Big Data, the student must complete five 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]:

Complete the following five courses:*

  • SEIS 603 Foundations of Software Development - Python (waived for appropriate prior programming experience)
  • SEIS 630 Database Management Systems and Design
  • SEIS 632 Data Analytics and Visualization
  • SEIS 736 Big Data Engineering
  • SEIS 737 Big Data Management

*If SEIS 603 is waived, choose one additional elective course from the Graduate Programs in Software course catalog (SEIS courses).

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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