The 15-credit certificate program in Big Data Analytics is designed to address the needs of professionals with a Bachelor of Science or a Master of Science degree in Information Science or a related field. Students in this program learn to effectively handle large amounts of disparate data.
Big data involves three major dimensions: data size, data rate, and data diversity. We provide our students with essential, in-depth knowledge of techniques and technologies relevant for big data management.
The courses offered allow you to tailor your program of study to your individual interests.
15-credit Post-bachelor’s Certificate
Students should have earned a BS/BE degree from an accredited college or university in Computer Science, Information Technology, Telecommunications, Computer or Electrical Engineering, Mathematics, or a related field with a scholastic average of a B (3.0 on a 4.0 scale) or better.
Core Courses
Post-bachelor’s students must complete three of the following courses with a grade of C or better:
- INFSCI 2160 - Data Mining
- INFSCI 2591 - Algorithm Design
- INFSCI 2711 - Advanced Topic in Database Management
- INFSCI 2595 - Machine Learning
- INFSCI 2750 - Cloud Computing
Elective courses
Post-bachelor’s students must complete two of the following courses with a grade of C or better:
- INFSCI 2140 - Information Storage and Retrieval
- INFSCI 2410 - Information to Neural Networks
- INFSCI 2430 - Social Computing
- INFSCI 2801 - Geospatial Information Systems (GIS)
- INFSCI 2809 - Spatial Data Analytics
- TELCOM 2125 - Network Science and Analysis
- INFSCI 2415 - Information Visualization
15-credit Post-master’s Certificate
Students should have earned a MS degree from an accredited college or university in Computer Science, Information Technology, Information Science, Telecommunications, Computer or Electrical Engineering, Mathematics, or a related field with a scholastic average of a B (3.0 on a 4.0 scale) or better.
Core Courses
Post-master’s students must complete three of the following courses with a grade of B or better:
- INFSCI 2160 - Data Mining
- INFSCI 2591 - Algorithm Design
- INFSCI 2711 - Advanced Topic in Database Management
- INFSCI 2595 - Machine Learning
- INFSCI 2750 - Cloud Computing
Elective courses
Post-master’s students must complete two of the following courses with a grade of B or better:
- INFSCI 2140 - Information Storage and Retrieval
- INFSCI 2410 - Information to Neural Networks
- INFSCI 2430 - Social Computing
- INFSCI 2801 - Geospatial Information Systems (GIS)
- INFSCI 2802 - Location-Based Services
- INFSCI 2809 - Spatial Data Analytics
- TELCOM 2125 - Network Science and Analysis
- INFSCI 2415 - Information Visualization
Coursework must be completed within a period of four calendar years from the student’s initial registration in the certificate program.