Graduate Certificate in Big Data Program Requirements for catalogs from spring 2018 through summer 2018:
Current and inactive students who are 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.
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.
The courses in this certificate program require a working knowledge of SQL and the Java 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.
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.
Required Courses [4 courses]:
Please select any four of the following six courses.*
- SEIS 631 Foundations of Data Analysis
- SEIS 632 Data Analytics and Visualization
- SEIS 734 Data Mining and Predictive Analytics
- 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.)