American University

How this program compares

At an estimated $68.6K in total tuition, the MS in Business Analytics and AI sits about 62% above the $42.4K average for AI master's programs in our database — placing it in the 85th 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 and a strong analytical background (mathematics, computer science, engineering, or business). Most programs prefer relevant work experience and demonstrated quantitative skills.

About This Program

This STEM-designated master's program is designed to equip students with the technological expertise and leadership required for data-driven roles. Coursework concentrates on Machine Learning and AI Engineering / Applied AI. Most students complete it in about 1 year.

Estimated total tuition is $68.6K, above the $42.4K average for AI master's programs in our database and in the 85th percentile on cost at this level. Applicants should weigh that premium against the program's outcomes and brand.

Thrive as Product Analyst in Business AI with advanced technical expertise Graduates frequently move into roles such as Product Analyst, with reported salaries around $120,000.

Career Outcomes

Thrive as Product Analyst in Business AI with advanced technical expertise

• 1. Data Scientist
• 2. AI/Machine Learning Engineer
• 3. Business Analytics Manager
• 4. Analytics Strategy Consultant

What You'll Learn

• Develop technical mastery in SQL, Python, machine learning frameworks, and LLM applications for building and evaluating AI models
• Transform data infrastructure and implement AI systems at scale within organizational contexts
• Apply ethical frameworks and governance practices to responsible AI deployment and decision-making
• Lead cross-functional AI initiatives and communicate analytical insights to drive measurable business value

Curriculum Highlights

The curriculum features data wrangling, predictive analytics, and a required analytics practicum with local companies.

Top Employers

Top employers include Microsoft, PwC, Capital One, McKinsey, Google, Amazon, and major financial institutions.[1

Admissions

Applicants typically need a bachelor's degree from an accredited institution and a strong analytical background (mathematics, computer science, engineering, or business). Most programs prefer relevant work experience and demonstrated quantitative skills.

Application Materials

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

Academic Requirements

• Degree Required: Master of Science (MS)
• GRE/GMAT: Optional (some programs require GRE; varies by institution)
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)