MasterOn-Campus, Online, HybridFlexible

American University

MS in Business Analytics and AI

Washington, District of Columbia1 years$69K total tuition
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How this program compares

Benchmark this program against our national recognition pages and use the key guides below to evaluate ROI, admissions difficulty, and outcomes.

Est. Salary$110,000 AI/Machine Learning Engineer
Job Growth+36%
Top RoleProduct Analyst
FormatOn-Campus, Online, Hybrid

Admission Snapshot

Degree Required
Master of Science (MS)
Duration
1 year
Est. Tuition
$69K total
Format
On-Campus, Online, Hybrid
Schedule
Flexible
GRE / GMAT
Required
Concentrations
Machine Learning, AI Engineering / Applied AI

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.

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+)

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