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Master of Science in Technology Management: Artificial Intelligence

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  • Leadership and project management
  • Leveraging AI to enhance business operations
  • Responsible decision-making with use of AI
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  • Understand AI technologies such as machine learning, natural language processing, robotics, and neural networks.
  • Explore AI applications across various industries.
  • Solve business challenges and create growth opportunities using AI solutions.
  • Lead teams and deliver successful projects.
  • Assess the ethical, legal, and social implications of AI for responsible decision-making.
  • Gain hands-on experience through projects and collaborations with industry partners.
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The Master of Science in Technology Management with a concentration in Artificial Intelligence program can open doors to careers such as:

  • AI specialist
  • Machine learning engineer
  • Data scientist
  • AI research scientist
  • Computer vision engineer
  • Natural Language Processing (NLP) engineer
  • AI product manager
  • Robotics engineer
  • AI consultant
  • Chief AI officer (CAIO)
  • Hold a bachelor’s degree from an accredited institution.
  • Maintain a minimum cumulative GPA of 2.75 or higher on a 4.0 scale for all undergraduate or graduate coursework.
    • Provisional admission: Applicants with a GPA between 2.50 and 2.74 may be admitted provisionally. Provisional students must achieve a 3.0 GPA or higher on the first nine credits in their program of study to gain full admission.
  • Provide official transcripts or an official transcript evaluation for admission into a graduate program.
    • Students with 15 or more undergraduate credits in computer science, cybersecurity, or business analytics may have introductory courses (CS 600, CY 600, or BA 600) waived, pending a transcript evaluation.

Courses

Review the full list of program courses below.