Data Analytics and Visualization, Certificate
This certificate requires a minimum of 12 hours and must be earned in concurrence with an undergraduate degree program. A student may only be awarded the certificate in the same semester the student is awarded an undergraduate degree from the University of South Carolina. At least 50% of a student’s undergraduate certificate coursework must be completed at the University of South Carolina and all coursework that applies to the certificate must be earned with a grade of C or better.
Learning Outcomes
- Identify methods, concepts and tools to effectively evaluate, visualize, or summarize the effective use of data evaluation and decision-making processes.
- Apply data analytics knowledge, skills, and abilities to create solutions within their own field of study or potential career field.
Certificate Requirements (12-13 Hours)
You must select a minimum of 12 credits (4 courses) from the following course list, and your courses must be completed by or before your graduation date.
- Courses cannot be substituted with a course not seen on this list.
- Some courses or course sections may have enrollment restrictions - and those restrictions must be followed. If you do not meet a course or section’s enrollment requirements, you may choose another course or section from this course list.
| Course | Title | Credits |
|---|---|---|
| Select four courses from the following: | 12-13 | |
| Design Technology and Concepts | ||
| Typographic Design I | ||
| Scientific Applications Programming | ||
| UNIX System Administration | ||
| Visualization Tools | ||
| Geographic Information Systems | ||
| Cartography | ||
| Introduction to Remote Sensing | ||
| Spatial Programming | ||
| Advanced Geographic Information Systems | ||
| GIS-Based Modeling | ||
| Information Design | ||
| Text Mining in Big Data Analytics | ||
| Information Science Data Analysis and Evaluation | ||
| Data Visualization | ||
| Principles of Visual Communications | ||
| Graphics for Visual Communications | ||
| Digital Media and Big Data Analysis | ||
| Computer Information Systems in Business | ||
| Applied Statistics for Business | ||
or STAT 301 | Statistical Methods for Data Analytics | |
| Psychological Statistics | ||
or SOCY 392 | Elementary Statistics for Sociologists | |
or STAT 201 | Elementary Statistics | |
or STAT 205 | Elementary Statistics for the Biological and Life Sciences | |
or STAT 206 | Elementary Statistics for Business | |
or STAT 509 | Statistics for Engineers | |
or STAT 515 | Statistical Methods I | |
| Total Credit Hours | 12-13 | |