Fairfield University
MBA 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 $67.0K in total tuition, the MBA in Artificial Intelligence sits about 58% above the $42.4K average for AI master's programs in our database β placing it in the 83rd 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: Applicants typically need a bachelor's degree from an accredited institution and relevant work experience (often 2β5 years preferred). A competitive GPA (3.0+) and GMAT/GRE scores strengthen applications, though some programs offer test-optional pathways for experienced professionals.
About This Program
This STEM-designated concentration prepares students to lead AI-integrated business initiatives and strategies. It bridges the gap between technical AI knowledge and business acumen for strategic organizational decision-making. Coursework concentrates on Machine Learning and Computer Vision. Most students complete it in about 2 years.
Estimated total tuition is $67.0K, above the $42.4K average for AI master's programs in our database and in the 83rd percentile on cost at this level. Applicants should weigh that premium against the program's outcomes and brand.
Thrive as Product Analyst in Business AI with artificial intelligence expertise Graduates frequently move into roles such as Product Analyst, with reported salaries around $125,000.
Career Outcomes
Thrive as Product Analyst in Business AI with artificial intelligence expertise
- 1. AI Strategy Consultant
- 2. Data Science Manager
- 3. AI Product Manager
- 4. Business Intelligence Director
What You'll Learn
- Develop AI-driven business strategy and competitive advantage in technology-driven markets
- Apply machine learning algorithms and data analytics to solve complex organizational problems
- Design and implement AI solutions while managing technical and ethical considerations
- Lead cross-functional teams in AI implementation and evaluate ROI of AI investments
Curriculum Highlights
The concentration focuses on machine learning, predictive modeling, and managing AI projects. Courses cover data visualization, AI ethics, and data governance within a business leadership and strategy framework.
Top Employers
Common employers include Google, Microsoft, Amazon, IBM, McKinsey & Company, Deloitte, and major financial institutions leveraging AI for competitive advantage.
Admissions
Applicants typically need a bachelor's degree from an accredited institution and relevant work experience (often 2β5 years preferred). A competitive GPA (3.0+) and GMAT/GRE scores strengthen applications, though some programs offer test-optional pathways for experienced professionals.
Application Materials
- Statement of Purpose: Required
- Letters of Recommendation: 2β3
- Resume: Required
- Transcripts: Official transcripts required
Academic Requirements
- Degree Required: Bachelor's degree
- GMAT/GRE: Required or Optional (varies by program)
- TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)
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