The University of Texas at Arlington
Graduate Certificate in Artificial Intelligence
Last reviewed June 2026 by the AI Graduate editorial team. Program data is compiled and verified from official university sources β see our methodology.
How this program compares
At an estimated $5.5K in total tuition, the Graduate Certificate in Artificial Intelligence sits roughly 52% below the $11.4K average for AI certificate programs in our database β placing it in the 22nd percentile on cost among the 236 we track at this level.
Admission Snapshot
Typical admitted student: 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.
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. Coursework concentrates on Deep Learning and Machine Learning. Most students complete it in about 1 year.
Estimated total tuition is $5.5K, below the $11.4K average for AI certificate programs in our database and in the 22nd percentile on cost at this level. That makes it one of the more affordable options for students weighing return on investment.
Gain machine learning skills to advance as Machine Learning Engineer in Engineering AI Graduates frequently move into roles such as Machine Learning Engineer, with reported salaries around $120,000.
Career Outcomes
Gain machine learning skills to advance as Machine Learning Engineer in Engineering AI
- 1. AI/ML Engineer
- 2. Data Scientist
- 3. AI Ethics Consultant
- 4. Machine Learning Specialist
What You'll Learn
- Implement machine learning algorithms for predictive modeling
- Design and train deep neural networks for complex data
- Apply natural language processing to text analysis tasks
- Develop computer vision systems for image recognition
- Evaluate AI systems for ethical biases and fairness
Curriculum Highlights
The curriculum covers key topics such as knowledge representation, neural networks, and machine learning through four or five graduate-level courses.
Top Employers
Top employers include tech giants like Google, Amazon, Microsoft, and IBM, as well as consulting firms and research organizations in AI applications.
Admissions
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.
Application Materials
- Statement of Purpose: Required
- Letters of Recommendation: 2β3
- Resume: Required
- Transcripts: Official transcripts required
Academic Requirements
- Degree Required: Bachelor's degree
- GRE/GMAT: Not Required
- TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)
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