University of Virginia

How this program compares

At an estimated $151.5K in total tuition, the MBA Concentration in AI, Data Analytics & Decision Sciences sits about 257% above the $42.4K average for AI master's programs in our database — placing it in the 98th percentile on cost among the 531 we track at this level.

Admission Snapshot

Typical admitted student: A bachelor's degree from an accredited institution and a minimum of 2-5 years of professional work experience are required, along with a strong record of quantitative and analytical skills; GMAT or GRE scores are often preferred but may be waived for qualified candidates.

About This Program

This concentration prepares MBA students to lead organizations by integrating data science and artificial intelligence into core business processes and leadership strategies. Coursework concentrates on Machine Learning and AI Engineering / Applied AI. Most students complete it in about 2 years.

Estimated total tuition is $151.5K, above the $42.4K average for AI master's programs in our database and in the 98th percentile on cost at this level. Applicants should weigh that premium against the program's outcomes and brand.

Lead as Product Analyst in Business AI with machine learning expertise Graduates frequently move into roles such as Product Analyst, with reported salaries around $130,000.

Career Outcomes

Lead as Product Analyst in Business AI with machine learning expertise

• 1. AI Strategy Consultant
• 2. Data Analytics Director
• 3. Business Intelligence Manager
• 4. Decision Sciences Analyst

What You'll Learn

• Apply AI and machine learning models to solve business problems
• Analyze big data for strategic decision-making
• Lead data-driven initiatives with ethical AI practices
• Optimize operations using predictive analytics and decision sciences

Curriculum Highlights

The program includes courses on decision analysis, data visualization, strategic integration, and the ethical implications of AI in business.

Top Employers

Graduates work at companies like McKinsey, Capital One, Microsoft, Google, and Amazon.

Admissions

A bachelor's degree from an accredited institution and a minimum of 2-5 years of professional work experience are required, along with a strong record of quantitative and analytical skills; GMAT or GRE scores are often preferred but may be waived for qualified candidates.

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 (preferred for quantitative strength)
• TOEFL/IELTS: Required for international students (TOEFL 100+ / IELTS 7.0+)