Villanova University
MBA - AI and Machine Learning Track
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 $64.8K in total tuition, the MBA - AI and Machine Learning Track sits about 53% above the $42.4K average for AI master's programs in our database β placing it in the 81st 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 professional work experience (typically 2-5 years) preferred for MBA programs. GMAT or GRE scores are often optional but recommended for applicants without strong quantitative backgrounds.
About This Program
This MBA specialization provides a competitive advantage through deep insight into AI innovation and first-to-market business strategies. Coursework concentrates on Natural Language Processing (NLP) and AI Engineering / Applied AI. Most students complete it in about 1.5 years.
Estimated total tuition is $64.8K, above the $42.4K average for AI master's programs in our database and in the 81st percentile on cost at this level. Applicants should weigh that premium against the program's outcomes and brand.
Position as Product Analyst in Business AI with natural language processing expertise Graduates frequently move into roles such as Product Analyst, with reported salaries around $140,000.
Career Outcomes
Position as Product Analyst in Business AI with natural language processing expertise
- 1. AI Product Manager
- 2. Data Strategy Consultant
- 3. Business Intelligence Director
- 4. Machine Learning Operations Lead
What You'll Learn
- Apply machine learning algorithms to solve business problems
- Develop AI-driven strategies for competitive advantage
- Analyze big data for informed decision-making
- Integrate ethical AI practices into organizational operations
Curriculum Highlights
The curriculum covers robotics, automation ethics, data mining, and financial decision-making within the business landscape.
Top Employers
Graduates work at companies like Google, Amazon, McKinsey, and Deloitte.
Admissions
A bachelor's degree from an accredited institution with a minimum GPA of 3.0 is required, along with professional work experience (typically 2-5 years) preferred for MBA programs. GMAT or GRE scores are often optional but recommended for applicants without strong quantitative backgrounds.
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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