The University of Texas at Austin
Online Graduate Certificate in AI and Machine Learning
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 $7.6K in total tuition, the Online Graduate Certificate in AI and Machine Learning sits roughly 33% below the $11.4K average for AI certificate programs in our database β placing it in the 38th percentile on cost among the 236 we track at this level. It is one of the 57% of programs in our database offered fully or partly online.
Admission Snapshot
Typical admitted student: A bachelor's degree in a STEM field, computer science, or related discipline with a minimum GPA of 3.0 is required, along with demonstrated programming experience in Python or equivalent. Relevant work experience or prerequisite coursework in statistics and linear algebra is often preferred.
About This Program
This online certificate provides professionals with the skills to tackle complex AI challenges in data analysis and predictive modeling. Coursework concentrates on Machine Learning and AI Engineering / Applied AI. Most students complete it in about 1 year.
Estimated total tuition is $7.6K, below the $11.4K average for AI certificate programs in our database and in the 38th percentile on cost at this level. That puts it in the mid-range on price among comparable programs.
Strengthen machine learning skills to advance as Machine Learning Engineer in Cross-Industry AI Graduates frequently move into roles such as Machine Learning Engineer, with reported salaries around $125,000.
Career Outcomes
Strengthen machine learning skills to advance as Machine Learning Engineer in Cross-Industry AI
- 1. Machine Learning Engineer
- 2. AI Data Scientist
- 3. NLP Specialist
- 4. AI Product Developer
What You'll Learn
- Design and implement machine learning models for predictive analytics.
- Apply deep learning techniques to image recognition and sequence data.
- Develop natural language processing systems for text analysis.
- Integrate generative AI tools for content creation and automation.
Curriculum Highlights
The curriculum consists of four courses, including required modules in machine learning and deep learning, plus electives in NLP or optimization.
Top Employers
Top employers include Google, Amazon, Microsoft, and tech firms like NVIDIA and OpenAI.
Admissions
A bachelor's degree in a STEM field, computer science, or related discipline with a minimum GPA of 3.0 is required, along with demonstrated programming experience in Python or equivalent. Relevant work experience or prerequisite coursework in statistics and linear algebra 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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