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MBA in AI
On-Campus, Online, Hybrid

Villanova University

Online Professional MBA in 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. Applied Machine Learning & Algorithms 2. Business Intelligence & Data Analytics 3. AI Strategy & Organizational Implementation 4. Deep Learning & Neural Networks 5. AI Ethics, Policy & Governance 6. Data-Driven Decision Making & Analytics
Program Specializations:
Natural Language Processing (NLP)
Computer Vision
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
Applicants must hold a bachelor's degree from an accredited institution and typically demonstrate 2–3 years of professional work experience. A minimum undergraduate GPA of 3.0 and GMAT or GRE scores are generally required; some programs waive standardized tests for candidates with strong professional backgrounds.
Academic Requirements (Typical)

• Degree Required: Bachelor’s degree
• GMAT/GRE: Required (may be waived with relevant experience)
• 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
• Official Transcripts: Required
• GMAT/GRE Scores: Required or optional depending on experience

Application Timeline

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

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Career Opportunities in AI

Excel as Product Analyst in Business AI with machine learning expertise

Industry Data: The following salary and job data reflects typical industry trends for AI professionals, not specific to New York University. Individual outcomes vary based on skills, location, and experience.

Estimated Industry Salary
AI/ML Strategy & Leadership: $135,000 Machine Learning Engineer: $125,000 Data Science Manager: $130,000 AI Implementation Consultant: $120,000
Total compensation (entry to mid-level)
AI Job Growth
36.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. AI Strategy Manager 2. Machine Learning Product Manager 3. Data Science Director 4. AI Implementation Consultant
Top AI Employers (Industry-Wide):
Top employers for AI/ML business roles include Google, Microsoft, Amazon, IBM, McKinsey, Deloitte, and major financial services firms like JPMorgan Chase and Goldman Sachs.
Explore AI Career Paths
Program Details
Duration
  • 1.5 Year
Tuition
  • 64,800
Format
On-Campus, Online, Hybrid
Specializations
Natural Language Processing (NLP)
Computer Vision
Official Resources
Program Website
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