Arizona State University
MBA in 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 $74K in total tuition, the MBA in AI sits about 74% above the $42.4K average for AI master's programs in our database β placing it in the 87th 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 must hold a bachelor's degree with a minimum GPA of 3.2 in the last 60 hours, preferably in business or a related field; GMAT or GRE is often optional, and professional work experience is preferred for MBA programs.
About This Program
Through this MBA concentration, students are equipped with cutting-edge knowledge in business intelligence and AI applications, empowering them to innovate, optimize, and lead in any industry. Coursework concentrates on AI Ethics/Policy and AI Engineering / Applied AI. Most students complete it in about 2 years.
Estimated total tuition is $74K, above the $42.4K average for AI master's programs in our database and in the 87th percentile on cost at this level. Applicants should weigh that premium against the program's outcomes and brand.
Lead as AI Engineer in Business AI with machine learning expertise Graduates frequently move into roles such as AI Engineer, with reported salaries around $130,000.
Career Outcomes
Lead as AI Engineer in Business AI with machine learning expertise
- 1. AI Strategy Consultant
- 2. Business Intelligence Director
- 3. AI Product Manager
- 4. Digital Transformation Leader
What You'll Learn
- Develop AI strategies for business transformation and decision-making.
- Apply machine learning models to enterprise data analytics.
- Address ethical, governance, and societal impacts of AI in organizations.
- Lead AI-driven innovation in supply chain, operations, and strategy.
Curriculum Highlights
The curriculum integrates core MBA subjects with specialized courses in AI and business, Python for data analysis, machine learning, and business data visualization.
Top Employers
Graduates work at companies like Google, Amazon, McKinsey, and Deloitte.
Admissions
Applicants must hold a bachelor's degree with a minimum GPA of 3.2 in the last 60 hours, preferably in business or a related field; GMAT or GRE is often optional, and professional work experience is preferred for MBA programs.
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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