TX

Certificates in AI
On-Campus

The University of Texas at Arlington

Graduate Certificate in Artificial Intelligence

  • Arlington
About This Program

This credit-bearing program provides a rigorous foundation in core AI methodologies, focusing on search, optimization, and probabilistic models for real-world application.

Student Reviews
What You'll Learn

Students demonstrate the ability to select and apply AI techniques to solve complex problems in robotics, image processing, and speech recognition.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Typical Curriculum Structure
The curriculum covers key topics such as knowledge representation, neural networks, and machine learning through four or five graduate-level courses.
Typical Course Topics
1. Machine Learning Fundamentals 2. Deep Learning and Neural Networks 3. Natural Language Processing 4. Computer Vision 5. AI Ethics and Responsible AI 6. Data Analytics for AI
Program Specializations:
Deep Learning
Machine Learning
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
A bachelor's degree in computer science, engineering, mathematics, or a related field with a minimum GPA of 3.0 is required; relevant programming or quantitative experience is often preferred.
Academic Requirements (Typical)

β€’ Degree Required: Bachelor’s degree
β€’ GRE/GMAT: Not Required
β€’ TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

Application Materials (Typical)

β€’ Statement of Purpose: Required
β€’ Letters of Recommendation: 2–3
β€’ Resume: Required
β€’ 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.

Career Opportunities in AI

Gain machine learning skills to advance as Machine Learning Engineer in Engineering AI

Estimated Industry Salary
AI Specialist: $120,000
Total compensation (entry to mid-level)
AI Job Growth
23.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. AI/ML Engineer 2. Data Scientist 3. AI Ethics Consultant 4. Machine Learning Specialist
Top AI Employers (Industry-Wide):
Top employers include tech giants like Google, Amazon, Microsoft, and IBM, as well as consulting firms and research organizations in AI applications.
Program Details
Duration
  • 1 Year
Tuition
  • 5,520
Format
On-Campus
Specializations
Deep Learning
Machine Learning