American University

American University

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.

📊 Student Reviews

0.0 /5
★ ★ ★ ★ ★
Based on 0 verified reviews
What You'll Learn

Students learn data modeling, quantitative analysis, and how to implement AI tools for effective organizational decision-making.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:

Visit Official Program Website

Typical Curriculum Structure

Note: This is a typical curriculum structure for Master's in AI programs. For the exact courses offered by American University, visit their official program website.

Typical Course Topics

                   The curriculum features data wrangling, predictive analytics, and a required analytics practicum with local companies.

Flexible

Program Specializations:

Machine Learning

View the exact, up-to-date curriculum on the official program website

Admissions

Careers

Thrive as Product Analyst in Business AI with advanced technical expertise

Program Details

Duration

1 Years

Tuition

68640

View funding options →

Format

On-Campus, Online, Hybrid

Specializations

Machine Learning

Official Resources

Request Information

    I agree to receive educational program information

    I have read and agreed to the Privacy Policy and Terms of Use

    ✨ Share Your Experience - Unlock Premium Guides ✨

    Step 1
    Step 2
    Step 3
    Step 4

    Rating Star

    Campus Quality

    Facilities, resources, and campus environment
    0/5

    Application Process

    Admissions process clarity and support
    0/5

    Faculty

    Teaching quality and professor accessibility
    0/5

    Career Support

    Career services, internships, and job placement
    0/5

    Value for Money

    Return on investment and program costs
    0/5

    Tell us more (100 characters minimum)

    0 words (minimum: 100)

    💡 Writing Tips:

    • Describe your personal experience with the program
    • Mention specific courses or professors that stood out
    • Share how the program helped your career
    • Be honest and constructive

    Personal Information

    Help others understand your perspective

    We'll never share your email with anyone else

    ✓

    Thank You for Your Review!

    Your review has been submitted successfully. It will be published after moderation.