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 TOPICS 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 - INTRODUCTION TO NEURAL NETWORKS
- INFSCI 2430 - SOCIAL COMPUTING
- INFSCI 2801 - GEOSPATIAL INFORMATION SYSTEMS (GIS)
- INFSCI 2809 - SPATIAL DATA ANALYTICS
- INFSCI 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 TOPICS 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 - INTRODUCTION 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.