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  • 3.00 Credits

    Prerequisite(s): Acceptance into Master of Science in Engineering and Technology Management program or approval of graduate program director. Enhances the ability to analyze and successfully implement resource management techniques in areas of asset, information, and data management. Develops ability to implement optimal processes and procedures in resource estimation and planning, cost and billing, scheduling, and execution. Analyzes resource management responsibilities from a broad level of resource capacity though resource allocation and specific work management.
  • 3.00 Credits

    Prerequisite(s): Acceptance into the Master of Science in Engineering and Technology Management or other UVU graduate programs. Examines human resource topics relevant to managers leading people in technical fields. Emphasizes communication, interpersonal, and conflict communication skills as keys to success in managing technical projects. Examines the role of technical leaders as people managers and team leaders. Presents successful leadership concepts and proven human resource management core practices.
  • 3.00 Credits

    Prerequisite(s): Acceptance into a graduate program or approval of graduate program director. Critiques management practices for decision making within business. Defines appropriate uses of quantitative and visual data to influence the decision process. Presents engaging case studies drawn from publications, local business managers, and the experiences of faculty. Develops data analysis and presentation skills using appropriate software.
  • 3.00 Credits

    Prerequisite(s): Acceptance into Master of Science in Engineering and Technology Management program or approval of graduate program director. Presents a comprehensive list of topics in materials management. Places special emphasis on materials flow improvement and waste reduction. Covers production planning, capacity management, purchasing, demand forecasting, inventory management, and lean production.
  • 3.00 Credits

    Prerequisite(s): Acceptance into Master of Science in Applied AI program or approval of graduate program director.. Examines data strategy and management for artificial intelligence (AI) systems. Addresses data governance, quality, and lifecycle management. Covers developing organizational data strategies to enable AI, ensuring data quality through detection and mitigation of bias and errors, and managing data through its useful life.
  • 3.00 Credits

    Prerequisite(s): Acceptance into Master of Science in Applied AI program or approval of graduate program director.. Delves into strategic implementation of artificial intelligence (AI) systems in business environments. Addresses aligning AI initiatives with organizational strategies, calculating return on investment, and sustaining scaling of solutions. Covers developing implementation roadmaps, assembling resources, defining success metrics, and leading change management for AI adoption.
  • 3.00 Credits

    Prerequisite(s): Acceptance into Master of Science in Engineering and Technology Management program or approval of graduate program director. Presents a range of advanced topics of current interest in the fields of engineering management and technology management. Emphasizes new management practices that are emerging as a result of rapid technological advancements. Critiques theory and practice from the point of view of local guest speakers who present their unique management perspectives. May be repeated for a maximum of 6 credits toward graduation
  • 3.00 Credits

    Prerequisite(s): Acceptance into Master of Science in Engineering and Technology Management program or approval of graduate program director. Offers independent study as directed in reading or individual projects at the discretion and approval of the graduate program director. May be repeated for a maximum of 6 credits toward graduation.
  • 3.00 Credits

    Prerequisite(s): Acceptance into Master of Science in Applied AI program or approval of graduate program director.. Guides completion of an applied project investigating a real-world business problem and proposing an artificial intelligence (AI)-powered solution. Addresses business problem identification, planning, analysis, solution development, and presentation of findings. Culminates in a formal presentation.
  • 3.00 Credits

    Prerequisite(s): Acceptance into Master of Science in Engineering and Technology Management program or approval of graduate program director. Interprets the nature of strategic thinking and the challenges of strategic alignment. Includes the development of a strategic planning process and methods for assessing strategic success. Describes organizing a proposal to summarize scope of work, work plan, team charter, and identified project outcomes based on ideas supported by a literature review.