Content Type
Program

Drive digital transformation

Learn to leverage AI for data analysis, automation, and decision-making while mastering foundational information systems concepts like database management and digital transformation strategies in this hybrid program with three required in-person residencies in Washington, D.C.

Details

  • Calendar
    Fall, Spring Terms
  • Timer
    Part-time
  • Monitor
    Hybrid
  • Location
    Online and Washington, D.C.
  • Clock
    2-3 years
  • Certificates
    30 Credits
  • Dollar-circle
    $2,060/credit*

    *See full costs details. All students are considered for scholarships.

Benefits & Highlights

  • Flexible format
  • Up to $20k in scholarships
  • Advance your AI expertise, no coding experience required

Who Should Apply

The part-time MS in Information Systems and AI for Business program is designed for working professionals interested in AI technical frameworks, Generative AI, Deep Learning, and Responsible AI.

Stay ahead with technical expertise and strategic insight

Lead digital transformation by building expertise in AI ethics, governance, and applications. Develop technical skills through hands-on projects and combine AI coursework with training in cloud computing, cybersecurity, and IT management.

Details

  • Calendar
    Fall Term
  • Timer
    Full-time
  • Monitor
    In-Person
  • Location
    Washington, D.C.
  • Clock
    12 Months
  • Certificates
    36 Credits
  • Dollar-circle
    $94,500*

    *See full costs details. All students are considered for scholarships.

Benefits & Highlights

  • AI curriculum highlighting Responsible AI, Deep Learning, and Generative AI
  • Integrate advanced AI technologies with business strategy
  • STEM designation provides an opportunity to apply for an Optional Practical Training extension

Who Should Apply

The full-time MS in Information Systems and AI for Business program is designed for recent graduates and early career professionals wanting to focus on AI technical framework and foundations, machine learning skills, generative AI, deep learning, and responsible AI.

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