The goal of the big data analytics program is to facilitate the capture, curation, storage, search, transfer and analysis of large and complex data sets that have direct relevance to everyday situations and problems through interdisciplinary education, research, service and outreach.
The graduate certificate in Big Data Analytics may be completed in conjunction with the Masters degree in Computer Science.
Contact the graduate coordinator at g@radcnooor.comd@cs.okstate.edu for further information.
| Required Courses | 12 | |
|---|---|---|
| CS 5423 | Principles of Database Systems | 3 |
| CS 5433 | Big Data Management | 3 |
| MSIS 5633 | Business Intelligence Tools and Techniques | 3 |
| STAT 5023 | Statistics for Experimenters II | 3 |
| Guided Electives | 6 | |
| Students must select 6 credit hours from the following: | ||
| CS 5030 | Professional Practice | 1-6 |
| CS 5123 | Cloud Computing and Distributed Systems | 3 |
| CS 5793 | Artificial Intelligence II | 3 |
| CS 6620 | Advanced Topics in Applied Algorithms | 3 |
| MSIS 5600 | Special Projects in Business Information Systems | 1-6 |
| MKTG 5963 | Data Mining and Customer Relationship Management Applications | 3 |
| IEM 5723 | Data, Process, and Object Modeling | 3 |
| STAT 5091 | SAS Programming I | 1 |
| STAT 4043 | Applied Regression Analysis | 3 |
| STAT 5063 | Multivariate Methods | 3 |
| STAT 5053 | Time Series Analysis | 3 |
| STAT 5093 | Statistical Computing | 3 |