Statistics and Data Science Track
Program Description
This track leads to a Master of Science degree in Statistics and Data Science at UTSA. In this age of advanced technology, there is an increasing demand for trained individuals who understand the nature of designing experiments, making predictions and forecasts, and analyzing large complex data sets. Prepare for a career as a statistician or data scientist in government, industry or academia. Pursue your doctoral studies in statistics or a related field with the MS in Statistics and Data Science. Our 33-credit hour STEM-designated program will provide you with knowledge of a broad range of applied statistical methods and computational tools.
Learn more about admission to this program.
Read full program information.
Graduate Admission Requirements
Graduate Admission requirements vary by program. Please check your individual degree program for more details.
- Bachelor’s degree or equivalent
- 1-Semester Pathway: TOEFL iBT 71 or equivalent
- 2-Semester Pathway: TOEFL iBT 61 or equivalent
To apply for the Graduate Pathway, you must submit the following:
- Graduate School Application: 2025-2026
- Non-Refundable Application Fee: $90
- Official TOEFL / IELTS Test Scores / Duolingo
- Passport & Confirmation of Financial Resources (after program admission)
View the video guide on the application process here!
For complete details: Graduate Admissions Checklist
For important deadlines: Graduate Application Deadline
If you need assistance with your application, contact English Language Center at: englishlanguagecenter@utsa.edu
Sample Course Maps - M.S. in Statistics and Data Science
2-Semester Pathway |
Program Components 9 credit hours apply from pathway toward degree completion (M.S. in Statistics and Data Science) |
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Entry requirements
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Semester 1 | Progression Requirements
These courses are delivered through the UTSA English Language Center and are required to develop English proficiency |
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Course Title | ELC hours Credit-bearing hours |
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Communication for Academic Discourse | 3 | ||
Reading for Academic Success II | 3 | ||
Student Success I | 3 | ||
STA 5093 Introduction to Statistical Inference | 3 | ||
Total | 12 | ||
Semester 2 | |||
Course Title | ELC hours Credit-bearing hours |
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Advanced Communication | 3 | ||
Writing for Academic Success | 3 | ||
Student Success II | 3 | ||
STA 5103 Applied Statistics | 3 | ||
STA 5503 Mathematical Statistics I | 3 | ||
Total | 15 |
1-Semester Pathway Course Map |
Program Components 6 credit hours apply from Pathway toward degree completion (M.S. in Statistics and Data Science) |
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Entry requirements
|
Semester 1 | Progression Requirements
These courses are delivered through the UTSA English Language Center and are required to develop English proficiency |
|
Course Title | ELC hours Credit-bearing hours |
||
Advanced Communication | 3 | ||
Writing for Academic Success | 3 | ||
Student Success II | 3 | ||
STA 5093 Introduction to Statistical Inference | 3 | ||
STA 5103 Applied Statistics | 3 | ||
Total | 15 |
See the full course descriptions and semester availability here.
Tuition & Fees
UTSA offers top-quality education and services at a competitive price. Click here to learn more about tuition and fees for the Statistics and Data Science Track.