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      • For more than 140 years, Johns Hopkins University research and initiatives have helped society navigate uncertain times. This legacy underpins the full-time Master of Science in Business Analytics and Artificial Intelligence.
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  2. The STEM-designated Master of Science in Business Analytics and Artificial Intelligence program prepares you to navigate uncertainties across evolving markets. Convert raw data into actionable insights, protect shareholder value by managing risk, and position your organization to leverage uncertain outcomes.

  3. The full-time Master of Science in Business Analytics and Artificial Intelligence will teach you to harness data insights to think critically and lead through change. The STEM-designated program trains business leaders to navigate risk and uncertainty in the workplace.

  4. The Business Analytics and Artificial Intelligence program focuses on developing analytical skills for making informed, strategic business decisions. The full-time program is STEM-designated, offering Optional Practical Training STEM Extension benefit.

    • Does Johns Hopkins have a Master's in Business Analytics & Artificial Intelligence?1
    • Does Johns Hopkins have a Master's in Business Analytics & Artificial Intelligence?2
    • Does Johns Hopkins have a Master's in Business Analytics & Artificial Intelligence?3
    • Does Johns Hopkins have a Master's in Business Analytics & Artificial Intelligence?4
  5. Our Data Science and AI Institute academic programs encompass a wide range of options, including undergraduate programs, specialized graduate certificates, comprehensive master’s programs, and more. These initiatives unite related academic offerings across the entire university.

    • 3400 North Charles Street Shriver Hall, 005, Baltimore, 21218, MD
    • ai@jhu.edu
  6. In order to earn a Master of Science in Artificial Intelligence, the student must complete ten graduate-level courses (30 credits) within five years. The curriculum consists of four core courses (12 credits) and six elective courses (18 credits) from the course lists below.

  7. The institute focuses on research and education in data science, machine learning, and artificial intelligence across diverse fields, including neuroscience, precision medicine, climate resilience, sustainability, public-sector innovation, and social sciences.

  8. Machine Learning, AI, & Data Science. Our faculty are applying cutting-edge machine learning and artificial intelligence techniques to new datasets and domains. Computers are now predicting stock market changes, detecting cancer, and translating documents—all thanks to the power of machine learning and artificial intelligence.