The certificate in analytics is designed to assist and inform students looking to change careers or to upskill the current workforce in appropriate industries. The certificate is designed to meet the needs of people currently working in finance, accounting, system networking, computer programming, or related fields who will benefit professionally by developing skills in data analytics. The curriculum offers students an opportunity to obtain a basic understanding of data literacy; data structure; and management, statistical literacy, and analytical thinking. Credits earned toward the certificate may be used to satisfy the requirements of a bachelor’s degree in the College of Professional Studies.
Complete all courses and requirements listed below unless otherwise indicated.
Required Courses
Course List | Code | Title | Hours |
| MTH 1100 | College Algebra | 3 |
| MTH 2400 | Technology and Applications of Discrete Mathematics | 3 |
| or PHL 2310 | Symbolic Logic |
| ALY 2010 | Probability Theory and Introductory Statistics | 3 |
| ALY 2100 | Introduction to Programming for Data Analytics | 3 |
| ALY 3015 | Intermediate Statistics for Data Analytics | 3 |
| ALY 3070 | Communication and Visualization for Data Analytics | 3 |
| ALY 4000 | Analytics Using R | 3 |
| 3 |
| Data Mining | |
| Big Data and Web Mining | |
| Predictive Analytics Using R and Python | |
Program Requirement
24 total semester hours required
