Villanova University

How this program compares

At an estimated $53.9K in total tuition, the MS in Business Analytics and AI sits about 27% above the $42.4K average for AI master's programs in our database — placing it in the 72nd 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 in a quantitative field such as business, computer science, statistics, or engineering is required, along with a minimum GPA of 3.0 and relevant quantitative coursework. Work experience in analytics or business is often preferred but not always mandatory.

About This Program

This fully online 30-credit program prepares leaders for a data-driven world by integrating advanced AI technology and analytics tools with real-world business application. Coursework concentrates on Generative AI and LLMs and Machine Learning. Most students complete it in about 1.33 years.

Estimated total tuition is $53.9K, above the $42.4K average for AI master's programs in our database and in the 72nd percentile on cost at this level. Applicants should weigh that premium against the program's outcomes and brand.

Advance as Data Scientist in Business AI with python expertise Graduates frequently move into roles such as Data Scientist, with reported salaries around $110,000.

Career Outcomes

Advance as Data Scientist in Business AI with python expertise

• 1. Business Intelligence Analyst
• 2. Data Scientist
• 3. AI Strategy Consultant
• 4. Analytics Manager

What You'll Learn

• Applying machine learning models to business datasets for predictive insights
• Developing AI strategies to optimize operations and customer experiences
• Analyzing big data for strategic business decision-making
• Evaluating ethical implications of AI and analytics in organizational contexts

Curriculum Highlights

The coursework covers data mining, predictive and prescriptive modeling, database management, business intelligence, and big data management, culminating in an industry-partnered capstone project.

Top Employers

Top employers include consulting firms like McKinsey and Deloitte, tech companies like Google and Amazon, financial institutions like JPMorgan Chase, and Fortune 500 corporations.

Admissions

A bachelor's degree in a quantitative field such as business, computer science, statistics, or engineering is required, along with a minimum GPA of 3.0 and relevant quantitative coursework. Work experience in analytics or business is often preferred but not always mandatory.

Application Materials

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

Academic Requirements

• Degree Required: Bachelor's degree
• GRE/GMAT: Optional or Not Required
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)