American University

How this program compares

At an estimated $66K in total tuition, the Dual MBA + MS in Analytics & AI sits about 56% above the $42.4K average for AI master's programs in our database — placing it in the 82nd percentile on cost among the 531 we track at this level.

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.

Estimated total tuition is $66K, above the $42.4K average for AI master's programs in our database and in the 82nd percentile on cost at this level. Applicants should weigh that premium against the program's outcomes and brand.

Advance as Product Analyst in Business AI with machine learning expertise Graduates frequently move into roles such as Product Analyst, with reported salaries around $135,000.

Career Outcomes

Advance as Product Analyst in Business AI with machine learning expertise

• 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

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.

Application Materials

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

Academic Requirements

• Degree Required: Bachelor's degree
• GMAT/GRE: Required (may be waived with professional experience)
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)