The University of Texas at San Antonio

How this program compares

At an estimated $91.6K in total tuition, the BS in Artificial Intelligence - Multidisciplinary Studies sits about 2% above the $89.8K average for AI bachelor's programs in our database — placing it in the 66th percentile on cost among the 186 we track at this level. It runs on a full-time schedule (on-campus).

Admission Snapshot

Typical admitted student: High school diploma or equivalent with a minimum GPA of 2.5-3.0 required; SAT/ACT scores optional for most applicants.

About This Program

A multidisciplinary undergraduate degree allowing students to study computer science, mathematics, statistics, and engineering to simulate human intelligence processes in computer systems. Coursework concentrates on Machine Learning and AI Engineering / Applied AI. Most students complete it in about 4 years.

Fundamental AI concepts including search algorithms and knowledge representation.

At roughly $91.6K total, The University of Texas at San Antonio's BS in Artificial Intelligence - Multidisciplinary Studies sits above the $89.8K average among AI bachelor's programs we track — the 66th percentile on price. Applicants should weigh that premium against the program's outcomes and brand.

It is one of 45 AI-related programs we track in Texas, of which about 51% offer an online option. On price, it comes in higher than about 89% of the Texas programs in our data, where typical tuition runs near $41.5K.

Graduates frequently move into roles such as Data Scientist, with reported salaries around $120,000.

Career Outcomes

Graduates of The University of Texas at San Antonio's BS in Artificial Intelligence - Multidisciplinary Studies most often target Data Scientist roles, where reported compensation runs around $120,000. Its focus on Machine Learning and AI Engineering / Applied AI maps directly to how employers screen for specialized skills rather than generic degrees. Federal projections for this occupational area point to roughly 23% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.

• 1. AI Engineer
• 2. Machine Learning Engineer
• 3. Data Scientist
• 4. AI Research Analyst

What You'll Learn

• Fundamental AI concepts including search algorithms and knowledge representation
• Machine learning techniques for supervised and unsupervised learning
• Development of neural networks for pattern recognition and prediction
• Application of AI in data analysis and decision-making systems

Curriculum Highlights

The 120-credit program features focus areas in mathematics and statistics, programming, and artificial intelligence applications like computer vision and cloud computing.

Top Employers

Top employers include tech companies like Google, Microsoft, Amazon, and IBM.

Admissions

Admission to The University of Texas at San Antonio's BS in Artificial Intelligence - Multidisciplinary Studies generally expects a high school diploma. The GRE is not required here — a growing norm among AI programs — so applicants can often lead with coursework, projects and recommendations instead. Deadlines, testing policies and funding change year to year, so confirm the current requirements on the official program page before applying.

Application Materials

• Statement of Purpose: Optional
• Letters of Recommendation: Optional
• Resume: Optional
• Transcripts: Official transcripts required

Frequently Asked Questions