Artificial Intelligence Track
Program Description
This track leads to a Master of Science degree in Artificial Intelligence at UTSA. This program offers integrated studies involving software and hardware. A thesis option is available for students who wish to have research experience. Three concentrations are available including Analytics, Computer Science and Intelligent and Autonomous Systems. The Master’s in AI is an umbrella interdisciplinary program with courses drawn from three departments: Department of Computer Science, Department of Electrical and Computer Engineering, and Management Science & Statistics. It offers three concentrations: Analytics, Computer Science, and Intelligent and Autonomous Systems. Curated AI courses provide the students with a repertoire of AI skills and tools for effectively solving problems in a specific domain and extend the knowledge to advance their own respective disciplines and prepare graduate students in a multidisciplinary AI training environment that supports industry-readiness in AI sub-fields. The Master's degree program offers thesis and non-thesis options that allow students to gain valuable experiences in cutting-edge research. The research activities and experimental facilities have been well-supported by various basic and applied research grants.
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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 Artificial Intelligence
|
2-Semester Pathway |
Program Components 9 credit hours apply from pathway toward degree completion (M.S. in Artificial Intelligence) |
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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 |
||
| Communication for Academic Discourse | 3 | ||
| Reading for Academic Success II | 3 | ||
| Student Success I | 3 | ||
| CS 5233 Artificial Intelligence | 3 | ||
| Total | 12 | ||
| Semester 2 | |||
| Course Title | ELC hours Credit-bearing hours |
||
| Advanced Communication | 3 | ||
| Writing for Academic Success | 3 | ||
| Student Success II | 3 | ||
| EE 5263 Topics in Digital Signal Processing and Digital Filtering | 3 | ||
| EE 5993 AI Practicum | 3 | ||
| Total | 15 | ||
| 1-Semester Pathway Course Map |
Program Components 6 credit hours apply from Pathway toward degree completion (M.S. in Artificial Intelligence) |
||
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 | ||
| CS 5233 Artificial Intelligence | 3 | ||
| EE 5263 Topics in Digital Signal Processing and Digital Filtering | 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 Artificial Intelligence Track.
