American University

How this program compares

Budget-wise, $181.4K puts this bachelor's program at the 87th percentile on cost — about 102% above the $89.8K average across 186 comparable listings. It runs on a full-time schedule (on-campus).

Admission Snapshot

Typical admitted student: Applicants should have a high school diploma or equivalent with strong performance in mathematics and quantitative courses. A competitive GPA (3.0+) and standardized test scores (SAT/ACT) are typically expected, though test-optional policies may apply.

About This Program

Offered by the Kogod School of Business, this program focuses on evidence-based data gathering and quantitative analysis for business. Coursework concentrates on Machine Learning and AI Engineering / Applied AI. Most students complete it in about 4 years.

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 80% of the District of Columbia programs in our data, where typical tuition runs near $83.4K.

Graduates frequently move into roles such as Data Scientist, with reported salaries around $105,000.

Build and evaluate AI and machine learning models using Python, SQL, and modern analytics tools.

Estimated total tuition is $181.4K, above the $89.8K average for AI bachelor's programs in our database and in the 87th percentile on cost at this level. Applicants should weigh that premium against the program's outcomes and brand.

Career Outcomes

American University positions this bachelor track for Data Scientist careers — typical offers cluster around $105,000. Its focus on Machine Learning 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 36% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.

• 1. Data Analyst
• 2. Business Intelligence Analyst
• 3. Machine Learning Engineer
• 4. AI Strategy Consultant

What You'll Learn

• Build and evaluate AI and machine learning models using Python, SQL, and modern analytics tools
• Transform raw data into actionable business insights through statistical analysis and data visualization
• Develop leadership and strategic thinking to manage AI-driven projects and implement responsible AI practices
• Apply analytical methods to real-world business challenges across industries

Curriculum Highlights

The curriculum includes foundations in predictive analytics, business intelligence, and a capstone practicum with real-world data.

Top Employers

Common employers in this field include Microsoft, Google, Amazon, McKinsey, Capital One, and PwC, as well as firms across finance, healthcare, technology, and consulting sectors.

Admissions

Admission to American University's BS in Business Analytics and AI generally expects a bachelor of science (bs). The GRE is not required here — a growing norm among AI programs — so applicants can often lead with coursework, projects and recommendations instead. 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: Optional
• Transcripts: Official transcripts required

Frequently Asked Questions