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.
Programming proficiency required/Pre-requisites (effective Spring 2018*):
The courses in this certificate program require a working knowledge of SQL and the Python* programming language. Students must demonstrate adequate proficiency in both areas or take SEIS 630 (for SQL) and SEIS 603 (for Python programming) before enrolling in these courses.
* Students enrolled in the program prior to Spring 2018 may remain with the SEIS 601 (Java programming) requirement instead of SEIS 603 (Python programming).
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:
- Program catalogs prior to fall 2015
- Program catalogs from fall 2015 through fall 2017
- Program catalogs from spring 2018 through summer 2018
Required Courses [4 courses]:
Please select any four of the following five courses.
- SEIS 631 Foundations of Data Analysis
- SEIS 632 Data Analytics and Visualization
- SEIS 736 Big Data Architecture
- SEIS 737 Big Data Management
- SEIS 763 Machine Learning
View SEIS Course Catalog.
A bachelor's degree in any discipline from a regionally-accredited educational institution in the U.S. (or international equivalent).
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.)