Villanova University
MS in Business Analytics and AI (MSBAI)
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 $53.9K in total tuition, the MS in Business Analytics and AI (MSBAI) sits about 27% above the $42.4K average for AI master's programs in our database β 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: Applicants typically need a bachelor's degree from an accredited institution, with a minimum GPA of 3.0 and quantitative coursework in mathematics, statistics, or computer science. Work experience in analytics, IT, or related fields is often preferred but not required.
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 Machine Learning and Generative AI and LLMs. 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.
Lead as Data Scientist in Business AI with python expertise Graduates frequently move into roles such as Data Scientist, with reported salaries around $95,000.
Career Outcomes
Lead as Data Scientist in Business AI with python expertise
- 1. Data Scientist
- 2. Machine Learning Engineer
- 3. Business Analytics Manager
- 4. AI/Strategy Consultant
What You'll Learn
- Design and implement machine learning models to solve real-world business problems
- Apply statistical techniques and AI algorithms for predictive analytics and forecasting
- Develop data visualization strategies and dashboards for business intelligence
- Evaluate AI/ML solutions for ethical implications, bias, and organizational impact
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
Common employers include major financial institutions, technology companies like Google and Microsoft, consulting firms such as McKinsey and Deloitte, and Fortune 500 companies across finance, healthcare, and retail sectors.
Admissions
Applicants typically need a bachelor's degree from an accredited institution, with a minimum GPA of 3.0 and quantitative coursework in mathematics, statistics, or computer science. Work experience in analytics, IT, or related fields is often preferred but not required.
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: Required or optional (check program specifics)
- TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)
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