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Master of Science in Technology Management: Data Science

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  • Leadership and project management
  • Leveraging data for strategic decision-making
  • Data visualization and storytelling
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  • Understand concepts like data mining, cloud computing, big data analytics, and statistical analysis.
  • Apply business intelligence strategies and statistical techniques to support data-driven decision-making.
  • Communicate complex data insights to stakeholders using data visualization.
  • Uphold ethical standards in data management, with a focus on privacy and security.
  • Lead interdisciplinary teams to successfully execute projects on time.
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The Master of Science in Technology Management with a concentration in Data Science program can open doors to careers such as:

  • Big data architect
  • Big data engineer
  • Business intelligence analyst
  • Chief data officer (CDO)
  • Data analyst
  • Data governance specialist
  • Data scientist
  • Digital transformation manager
  • Innovation manager
  • Machine learning engineer
  • 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.