University of St. Thomas
MS 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 $40.5K in total tuition, the MS in Artificial Intelligence sits roughly 5% below the $42.4K average for AI master's programs in our database β placing it in the 62nd percentile on cost among the 531 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, along with programming experience and quantitative coursework.
About This Program
This graduate degree prepares students to design and implement sophisticated AI systems by bridging the gap between theoretical research and real-world software engineering. Coursework concentrates on Deep Learning and AI Ethics/Policy. Most students complete it in about 2 years.
Estimated total tuition is $40.5K, below the $42.4K average for AI master's programs in our database and in the 62nd percentile on cost at this level. That puts it in the mid-range on price among comparable programs.
Position as Machine Learning Engineer in Cross-Industry AI with machine learning expertise Graduates frequently move into roles such as Machine Learning Engineer, with reported salaries around $120,000.
Career Outcomes
Position as Machine Learning Engineer in Cross-Industry AI with machine learning expertise
- 1. Machine Learning Engineer
- 2. AI Research Scientist
- 3. Data Scientist
- 4. NLP Specialist
What You'll Learn
- Design and implement machine learning models for predictive analytics.
- Develop neural networks for tasks like image recognition and sequence modeling.
- Apply natural language processing techniques to text analysis and generation.
- Build AI systems using reinforcement learning for decision-making agents.
Curriculum Highlights
The curriculum includes core coursework in machine learning, deep learning, and data analytics, culminating in hands-on projects that address industrial and societal challenges.
Top Employers
Top employers include Google, Microsoft, Amazon, and OpenAI.
Admissions
A bachelor's degree in computer science, engineering, mathematics, or a related field with a minimum GPA of 3.0 is required, along with programming experience and quantitative coursework.
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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