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MBA in AI
On-Campus, Online, Hybrid

Villanova University

Online Professional MBA – Applied AI & ML

  • Villanova
About This Program

This MBA specialization provides a deep understanding of artificial intelligence and machine learning to drive business innovation and first-to-market ideas in a competitive landscape.

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What You'll Learn

Students learn to build prototype intelligent systems, understand natural language processing, explore robotics and automation, and navigate the complex ethics of artificial intelligence.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The curriculum features applied AI and machine learning projects, natural language processing, and automation topics alongside a core foundation in professional business administration.
Typical Course Topics
1. AI for Business Strategy 2. Machine Learning for Predictive Analytics 3. Data-Driven Decision Making 4. Deep Learning in Operations 5. AI Ethics and Business Applications 6. ML for Marketing and Customer Insights
Program Specializations:
AI Ethics/Policy
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
A bachelor's degree from an accredited institution with a minimum GPA of 3.0 is required, along with 2–5 years of professional work experience preferred for MBA applicants. GMAT or GRE scores are often optional, with emphasis on career achievements and quantitative background.
Academic Requirements (Typical)

• Degree Required: Bachelor’s degree
• GRE/GMAT: Optional
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

Application Materials (Typical)

• Statement of Purpose: Required
• Letters of Recommendation: 2–3
• Resume: Required
• Transcripts: Official transcripts required

Application Timeline

Most programs have rolling admissions or deadlines in early winter for fall admission. Check the official program website for exact dates.

Check Application Deadlines
Career Opportunities in AI

Position as Product Analyst in Business AI with machine learning expertise

Estimated Industry Salary
AI Business Leader: $140,000
Total compensation (entry to mid-level)
AI Job Growth
15.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. AI Product Manager 2. Data Strategy Consultant 3. ML Operations Director 4. Business Intelligence Director
Top AI Employers (Industry-Wide):
Graduates work at companies like Google, Amazon, McKinsey, and Deloitte.
Explore AI Career Paths
Program Details
Duration
  • 1.5 Year
Tuition
  • 64,800
Format
On-Campus, Online, Hybrid
Specializations
AI Ethics/Policy
Official Resources
Program Website
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