The University of Texas at Arlington

How this program compares

The University of Texas at Arlington's Graduate Certificate in Artificial Intelligence lists about $5.5K total tuition — roughly 50% below the $11.0K AI certificate average (23rd percentile in our data). It runs on a part-time schedule (on-campus).

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.

Implement machine learning algorithms for predictive modeling.

Estimated total tuition is $5.5K, below the $11.0K average for AI certificate programs in our database and in the 23rd percentile on cost at this level. That makes it one of the more affordable options for students weighing return on investment.

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 cheaper than about 98% of the Texas programs in our data, where typical tuition runs near $41.5K.

Graduates frequently move into roles such as Machine Learning Engineer, with reported salaries around $120,000.

Career Outcomes

The Graduate Certificate in Artificial Intelligence at The University of Texas at Arlington (Arlington, Texas) is oriented toward Machine Learning Engineer hiring, with alumni reporting pay near $120,000. Its focus on Deep Learning and Machine Learning maps directly to how employers in engineering ai 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/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

Admission to The University of Texas at Arlington's Graduate Certificate in Artificial Intelligence generally expects a bachelor's degree. 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: Required
• Letters of Recommendation: 2–3
• Resume: Required
• Transcripts: Official transcripts required

Frequently Asked Questions