University of St. Thomas
Graduate Certificate in Applied 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 $16.2K in total tuition, the Graduate Certificate in Applied Artificial Intelligence sits about 42% above the $11.4K average for AI certificate programs in our database β placing it in the 78th 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 from an accredited institution is required. Applicants should have a foundation in computer science, mathematics, or a related quantitative field; some programs accept applicants without prior AI experience but expect strong analytical skills.
About This Program
This certificate provides a foundational understanding of artificial intelligence, focusing on its practical applications in software engineering and data science for industry professionals. Coursework concentrates on Generative AI and LLMs and AI Ethics/Policy. Most students complete it in about 1 year.
Estimated total tuition is $16.2K, above the $11.4K average for AI certificate programs in our database and in the 78th percentile on cost at this level. Applicants should weigh that premium against the program's outcomes and brand.
Develop artificial intelligence skills to advance as AI Engineer in Cross-Industry AI Graduates frequently move into roles such as AI Engineer, with reported salaries around $110,000.
Career Outcomes
Develop artificial intelligence skills to advance as AI Engineer in Cross-Industry AI
- 1. Machine Learning Engineer
- 2. AI Systems Architect
- 3. Data Scientist
- 4. AI Product Manager
What You'll Learn
- Design, develop, and deploy machine learning models for real-world applications
- Understand and implement deep learning architectures for image recognition, NLP, and predictive analytics
- Apply ethical frameworks and governance principles to AI system development
- Evaluate AI systems for bias, fairness, transparency, and regulatory compliance
Curriculum Highlights
The curriculum consists of four graduate-level courses exploring essential AI principles, algorithms, and practical implementations that can be applied toward a masterβs degree.
Top Employers
Top employers include technology giants like Google, Microsoft, Amazon, and Meta, as well as financial services firms, healthcare organizations, and government agencies investing in AI innovation.
Admissions
A bachelor's degree from an accredited institution is required. Applicants should have a foundation in computer science, mathematics, or a related quantitative field; some programs accept applicants without prior AI experience but expect strong analytical skills.
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: Optional
- TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)
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