TX

Bachelor's in AI
On-Campus

The University of Texas at San Antonio | BS in Artificial Intelligence – Multidisciplinary Studies

  • San Antonio


About This Program

This cross-disciplinary degree combines technical AI training with perspectives from various fields to prepare students for diverse careers in the emerging AI economy.

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What You'll Learn
  • Core AI algorithms and machine learning models for predictive analytics
  • Data processing techniques for training intelligent systems
  • Ethical considerations in AI development and deployment
  • Application of AI across multidisciplinary domains like computing and data science
For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The BS in Artificial Intelligence – Multidisciplinary Studies is a four-year undergraduate program at The University of Texas at San Antonio focused on foundational AI principles integrated with applications across computing, data science, and related disciplines.
Typical Course Topics
1. Introduction to Artificial Intelligence 2. Machine Learning Fundamentals 3. Data Structures and Algorithms for AI 4. Neural Networks and Deep Learning 5. Natural Language Processing 6. AI Ethics and Responsible AI
Program Specializations:
Machine Learning
AI Engineering / Applied AI
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
High school diploma or equivalent with a minimum GPA of 2.5–3.0 required; SAT/ACT scores optional for most applicants.
Academic Requirements (Typical)

• Degree Required: High School Diploma
• GRE/GMAT: Not Required
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

Application Materials (Typical)

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

Application Timeline

Most programs have rolling admissions or deadlines in early winter for fall admission. Check the official program website for exact dates.

Check Application Deadlines
Career Opportunities in AI

Start Data Scientist career in Cross-Industry AI with machine learning focus

Estimated Industry Salary
AI Engineer: $120,000
Total compensation (entry to mid-level)
AI Job Growth
23%
Projected 2024-2034 (BLS)
Common Career Paths:
1. AI Engineer 2. Machine Learning Specialist 3. Data Scientist 4. AI Research Analyst
Top AI Employers (Industry-Wide):
Top employers include tech leaders like Google, Microsoft, Amazon, and research institutions advancing AI applications.
Explore AI Career Paths
Program Details
Duration
  • 4 Year
Tuition
$ 91,560
Format
On-Campus
Specializations
Machine Learning
AI Engineering / Applied AI
Official Resources
Program Website
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