Healthcare Analytics Certificate - Accelerated Online Program
Overview
With the Healthcare Analytics Certificate, students will learn to effectively use Health Information Systems and data analytics, by studying fundamentals of health information systems (HIS) and the role of analytics and information systems in efficient operation of healthcare organizations.
This program is only offered in an accelerated programs and is 100% online.
Admission Requirements
To be admitted to the certificate program in healthcare analytics, prospective candidates must meet requirements for graduate admission to UT Rio Grande Valley.
- Bachelor's degree from a regionally accredited institution in the United States or a recognized international equivalent in a similar or related field.
- Official transcripts from each institution attended (must be submitted directly to UTRGV).
- Undergraduate GPA of at least 3.0. If applicant does not meet minimum undergraduate GPA criterion, conditional admission will be considered on a case-by-case basis.
Students whose native language is not English or who studied at a University outside the U.S.:
- TOEFL or IELTS Language Proficiency Test with minimum scores: 550 on paper-based, 213 on computer based, or 79 on Internet-based for the TOEFL; 6.5 for the IELTS. TOEFL and IELTS scores are valid for 2 years.
- Certified English translation of educational records.
Application for admission must be submitted prior to the published deadline. The application is available at www.utrgv.edu/gradapply.
Program Requirements
Required Courses - 9 Hours
| INFS 6340 | Health Computer Information Systems | 3 |
| INFS 6342 | Tools, Methods, and Applications for Managing Healthcare Data | 3 |
| INFS 6343 | Healthcare Analytics | 3 |
Elective Courses - 3 Hours
Choose one from the following:
| INFS 6333 | Spreadsheet Modeling for Service Industries | 3 |
| INFS 6350 | Business Intelligence and Data Warehousing | 3 |
| INFS 6351 | Developing Customized Solutions for Business Analytics | 3 |
| INFS 6353 | Social Media Analytics | 3 |
| INFS 6356 | Data Visualization | 3 |
| INFS 6359 | Data Mining for Business Analytics | 3 |
| INFS 6363 | Enterprise Analytics | 3 |
| INFS 6391 | Information Security and Risk Assessment Analysis | 3 |
| QUMT 6303 | Statistical Foundations | 3 |
| QUMT 6350 | Machine Learning for Business Analytics | 3 |
| QUMT 6360 | Decision Optimization for Business Analytics | 3 |
Students without statistics background will be advised to take the QUMT 6303 as the fourth course.
Total Credit Hours: 12