American University
BS in Business Analytics and AI
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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.
Career Outcomes
Start Data Scientist career in Business AI with programming focus
- 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
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.
Application Materials
- Statement of Purpose: Required
- Letters of Recommendation: 2β3
- Resume: Optional
- Transcripts: Official transcripts required
Academic Requirements
- Degree Required: Bachelor of Science (BS)
- GRE/GMAT: Not Required
- TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)
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