University of St. Thomas
Graduate Certificate in Applied AI
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 $15.7K in total tuition, the Graduate Certificate in Applied AI sits about 38% above the $11.4K average for AI certificate programs in our database β placing it in the 76th 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 computer science, engineering, mathematics, or a related field with a minimum GPA of 3.0 is required; relevant programming experience or coursework in Python and data structures is preferred.
About This Program
This foundational certificate explores essential AI principles, algorithms, and their practical applications in modern industry. Coursework concentrates on Generative AI and LLMs and AI Ethics/Policy. Most students complete it in about 1 year.
Estimated total tuition is $15.7K, above the $11.4K average for AI certificate programs in our database and in the 76th percentile on cost at this level. Applicants should weigh that premium against the program's outcomes and brand.
Strengthen machine learning skills to advance as AI Engineer in Cross-Industry AI Graduates frequently move into roles such as AI Engineer, with reported salaries around $120,000.
Career Outcomes
Strengthen machine learning skills to advance as AI Engineer in Cross-Industry AI
- 1. AI Applications Engineer
- 2. Machine Learning Specialist
- 3. Data Scientist (AI Focus)
- 4. AI Solutions Architect
What You'll Learn
- Implement machine learning models for predictive analytics and pattern recognition.
- Develop and deploy deep learning systems for image and language processing.
- Apply AI techniques to solve domain-specific problems in industry settings.
- Evaluate AI systems for ethical implications, bias, and fairness.
Curriculum Highlights
The four-course curriculum includes data analytics, visualization, machine learning, and foundational artificial intelligence principles.
Top Employers
Top employers include tech giants like Google, Microsoft, Amazon, and IBM, as well as consulting firms and industry leaders adopting AI solutions.
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 experience or coursework in Python and data structures is preferred.
Application Materials
- Statement of Purpose: Required
- Letters of Recommendation: 2
- 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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