American University

How this program compares

Budget-wise, $66K puts this master's program at the 81st percentile on cost — about 54% above the $42.9K average across 394 comparable listings. It runs on a full-time schedule (on-campus).

Admission Snapshot

Typical admitted student: Applicants must hold a bachelor's degree from an accredited institution with a minimum 3.0 GPA. Work experience is strongly preferred; many programs require 2+ years of professional experience. GMAT or GRE scores are typically required, though some programs offer waivers for applicants with strong professional backgrounds.

About This Program

This dual-degree program combines leadership and business administration with technical expertise in data science and artificial intelligence. Coursework concentrates on Generative AI and LLMs and AI Engineering / Applied AI. Most students complete it in about 1.75 years.

Graduates frequently move into roles such as Product Analyst, with reported salaries around $135,000.

Design and deploy machine learning and AI models to solve complex business problems.

Budget planners should note $66K estimated total tuition (81st percentile among AI master's programs, above the $42.9K average). Applicants should weigh that premium against the program's outcomes and brand.

It is one of 15 AI-related programs we track in District of Columbia, of which about 60% offer an online option. On price, it comes in higher than about 53% of the District of Columbia programs in our data, where typical tuition runs near $83.4K.

Career Outcomes

Graduates of American University's Dual MBA + MS in Analytics & AI most often target Product Analyst roles, where reported compensation runs around $135,000. Its focus on Generative AI and LLMs and AI Engineering / Applied AI maps directly to how employers in business ai screen for specialized skills rather than generic degrees. Federal projections for this occupational area point to roughly 23% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.

• 1. AI Strategy Consultant
• 2. Business Analytics Manager
• 3. Data Science Leader
• 4. AI Product Manager

What You'll Learn

• Design and deploy machine learning and AI models to solve complex business problems
• Transform data infrastructure and manage AI projects across organizations
• Integrate AI ethics, governance, and responsible practices into business strategy
• Lead cross-functional teams in analytics initiatives and drive data-informed decision-making

Curriculum Highlights

The structure integrates core business courses with analytics topics like data mining, machine learning, and ethics.

Top Employers

Common employers include Microsoft, PwC, McKinsey, Capital One, Google, Amazon, and major financial institutions seeking leaders who bridge business strategy and AI implementation.

Admissions

Admission to American University's Dual MBA + MS in Analytics & AI generally expects a bachelor's degree. Deadlines, testing policies and funding change year to year, so confirm the current requirements on the official program page before applying.

Application Materials

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

Frequently Asked Questions