Why Pursue a Graduate Certificate in Predictive Analytics and Modeling
This certificate equips you with in-demand technical and analytical skills that are desirable by employers across industries like finance, healthcare, marketing and technology. Through hands-on courses, you’ll learn programming languages like Python, R and SQL, build expertise in machine learning and statistical modeling, and use tools like Tableau, Power BI, and R to analyze data, identify patterns, and make informed predictions. You’ll also strengthen problem-solving, communication and teamwork skills to tackle real-world challenges with confidence.
Career Advancement
Stand out in a fast-growing field with a credential earned upon graduation that proves your skills in data mining, statistical modeling, and data-driven decision-making. With demand for data professionals expected to grow 35% by 2032, this program gives you a competitive edge. Whether you’re building a foundation to launch your career or a working professional looking to grow your skill set, you’ll gain the tools to succeed.
Admission & Application Requirements
Applications are submitted through the UTSA Graduate Application. Please upload all required documents (listed below) on your UTSA Graduate Application. It is the applicant’s responsibility to ensure completion and submission of the application, a nonrefundable application fee, and all required supporting documents are on file with UTSA by the appropriate application deadline.
For international students, please note that student visas are not issued at UTSA for non-degree-seeking students, including certificate programs. For more information, visit our international students admission page.
| Predictive Analytics and Modeling (CERT) | ||
|---|---|---|
| Required Degree | Bachelor's Degree from an accredited college or university in the United States or have proof of equivalent training at a foreign institution. | |
| Minimum GPA | 3.0 (on a 4.0 scale) Departments may consider GPA of last 60 semester credit hours. Otherwise qualified individuals with a GPA below 3.0 may still be eligible for admission consideration. For further information, please contact Graduate.Business@utsa.edu. | |
| Transcripts* | Required from all institutions attended; international transcripts must be recorded/translated to English | |
| Credential Evaluation | Required if you have earned university-level credit from foreign institutions. Submit an evaluation of your transcripts from Educational Credential Evaluators (ECE) directly from the graduate admission application platform | |
| English Language Proficiency | 600 TOEFL Paper / 85 TOEFL Internet / 7 IELTS / Duolingo 130 | |
| *Unofficial transcripts will be taken into consideration for admissions; however, if admitted into the program, you must submit official transcripts to the University. | ||
Application Deadlines
Applicants are encouraged to have their admission file completed as early as possible. All applications, required documents and letters of recommendation, if applicable, must be submitted by 5:00 PM U.S. Central Time on the day of the deadline. Deadlines are subject to change.
| Predictive Analytics and Modeling (CERT) | |||
|---|---|---|---|
| Timing on Admission Decision: Timing on Admission Decision: Completed applications will be reviewed for admission on a rolling basis. Decisions generally will be made and sent to applicants within 4 to 6 weeks of receiving the application. | |||
| Application Deadlines for: | Priority | International | Domestic |
| Fall 2025 | June 1 | August 1 | |
| Spring | Not Available | Not Available | |
| Summer | Not Available | Not Available | |
Career Options
UTSA prepares you for future careers that are in demand. The possible careers below is data pulled by a third-party tool called Emsi, which pulls information from sources like the U.S. Bureau of Labor Statistics, U.S. Census Bureau, online job postings, other government databases and more to give you regional and national career outlook related to this academic program.
Students pursuing the Graduate Certificate in Predictive Analytics and Modeling must complete five courses, totaling 15 semester credit hours. These courses will be offered during Fall and Spring, with some available in the Summer. The certificate can be completed in two semesters, but students also have the flexibility to enroll part-time and extend the completion timeline.
- STA 6003 Statistical Methods in Research and Practice I
- STA 6103 Statistical Methods in Research and Practice II
- STA 6233 R Programming for Data Science
- STA 6243 Exploratory Data Analysis with Python
- STA 6543 Predictive Modeling
