University of St. Thomas
MA in Artificial Intelligence Leadership
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 $36.4K in total tuition, the MA in Artificial Intelligence Leadership sits roughly 14% below the $42.4K average for AI master's programs in our database β placing it in the 56th 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 from an accredited institution with a minimum GPA of 3.0 is required, along with relevant professional experience in technology, business, or related fields preferred for this leadership-focused master's program.
About This Program
This fully online master's degree prepares professionals to navigate the strategic, ethical, and operational dimensions of AI within business, nonprofit, and government sectors. Coursework concentrates on AI Ethics/Policy and AI Engineering / Applied AI. Most students complete it in about 2 years.
Estimated total tuition is $36.4K, below the $42.4K average for AI master's programs in our database and in the 56th percentile on cost at this level. That puts it in the mid-range on price among comparable programs.
Excel as Product Analyst in Business AI with on organizational expertise Graduates frequently move into roles such as Product Analyst, with reported salaries around $140,000.
Career Outcomes
Excel as Product Analyst in Business AI with on organizational expertise
- 1. AI Strategy Director
- 2. AI Ethics Officer
- 3. Technology Leadership Consultant
- 4. AI Policy Advisor
What You'll Learn
- Evaluate the historical development and foundational principles of AI technologies.
- Analyze AI applications across industries and their ecosystem impacts.
- Develop ethical frameworks and leadership strategies for responsible AI deployment.
- Formulate policies and governance models for AI innovation and risk management.
Curriculum Highlights
The 30-credit curriculum covers AI foundations and leadership development, delivered in a flexible, asynchronous format with a one-class-at-a-time structure for working professionals.
Top Employers
Top employers include tech giants like Google, Microsoft, Amazon, and consulting firms such as McKinsey and Deloitte.
Admissions
A bachelor's degree from an accredited institution with a minimum GPA of 3.0 is required, along with relevant professional experience in technology, business, or related fields preferred for this leadership-focused master's program.
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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