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

Students learn core AI principles including machine learning and data analysis, while applying these technologies to areas like business, health, or social sciences.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The curriculum integrates computer science, mathematics, and philosophy, featuring themes in ethics, autonomous systems, and application-specific AI modules.
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
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
23.0%
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
Official Resources
Program Website
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