Why Pursue a Master's Degree in Artificial Intelligence
Prepare yourself with skills designed for the future in a multidisciplinary AI training environment that supports industry-readiness in AI subfields. Curated courses provide 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. Additionally, the master’s degree program offers thesis and non-thesis options that allow students to gain valuable experiences in cutting-edge research.
AI research activities and experimental facilities have been well-supported by various basic and applied research grants.
Prepare for a Career on the Cutting Edge of AI
By pursuing your master’s in artificial intelligence at UTSA, you’ll have access to the program’s wealth of resources, dedicated support, and invaluable connections. Through experiential learning and specialized expertise, this program prepares you for a successful career in AI.
Devin White, one of the program’s first graduates, sets an inspiring example. By engaging in hands-on learning and immersing himself in labs, White established a robust groundwork for his AI career. His involvement in research endeavors and networking with industry professionals prepared him to successfully enter the workforce after graduation as an AI researcher.
Artificial Intelligence Tracks at UTSA
School of Data Science
This program is part of the School of Data Science, also known as San Pedro I, and is housed in a cutting-edge facility dedicated to advancing the field of data science and fostering innovation in data-driven research and education. San Pedro I is a state-of-the-art facility specifically designed for hands-on learning and research under renowned faculty with expertise in data science, machine learning, artificial intelligence, and more. The School of Data Science is committed to providing a world-class education that equips students with the knowledge, skills, and career opportunities needed to thrive in the rapidly evolving data landscape.
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.
| Artificial Intelligence (MS) | ||
|---|---|---|
| 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 | |
| Coursework | 18 credit hours in an area related to this graduate degree and at least 12 hours must be at the upper-division level. | |
| 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 | 550 TOEFL Paper / 79 TOEFL Internet / 6.5 IELTS / Duolingo 100 | |
| Purpose Statement | Required | |
| Resume | Required | |
| Letters of Recommendation | 2 academic or professional reference(s) demonstrating your attributes for successful completion of this program (you will request these through the Graduate Admissions Application; let your recommenders know of your deadline to ensure submissions are on time) | |
| *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.
| Artificial Intelligence (MS) | |||
|---|---|---|---|
| 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 2024 | June 1 | August 1 | |
| Spring 2025 | October 1 | December 1 | |
| Summer 2025 | Not Available | Not Available | |
Funding Opportunities
ResourcesCareer 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.
Program graduates are working in various industrial positions at companies such as USAA, AMD, Microsoft, Oracle, Amazon, Samsung, NVIDIA, Qualcomm, and Intel.
Some of our MS graduates have been admitted to PhD Degree programs at universities including UT Austin, Purdue University, MIT, Rice University, and Texas A&M.
UTSA has invested in a transdisciplinary AI Consortium that is a central hub for AI research in the greater San Antonio area, that houses ~65 researchers from 4 different organizations. Please visit us at https://ai.utsa.edu for further details on the cutting-edge research activities pursued in the consortium.
Graduate Advisor of Record - Intelligent and Autonomous Systems Track
Jeff Prevost, PhD
jeff.prevost@utsa.edu