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  • 3.00 Credits

    Prerequisite(s): Acceptance into Master of Science in Applied AI program or approval of graduate program director.. Examines ethical considerations, legal frameworks, and social impacts related to artificial intelligence (AI). Addresses privacy, bias, regulation, and job displacement. Covers moral philosophy of AI, national and international AI policies, workforce changes from intelligent systems, and techniques to identify and mitigate algorithmic bias.
  • 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 on how to define, plan, and execute a project whether your goal is simple or complex. Emphasizes the necessary skills to lead process improvement, and learn systematic methods used to improve performance efficiencies and to reduce variations in business operations to achieve productivity and profitability gains.
  • 3.00 Credits

    Prerequisite(s): Acceptance into the Master of Science in Engineering and Technology Management or other UVU graduate programs. Presents financial management and information systems concepts relevant to managing business firms. Develops ability to analyze and produce financial management information using information systems. Explores future trends at the intersection of financial management and technology.
  • 3.00 Credits

    Prerequisite(s): Acceptance into the Master of Science in Engineering and Technology Management or other UVU graduate programs. Presents contemporary approaches for managing product design and development. Examines both traditional development methods and new approaches for Agile and Hybrid product development. Explores future trends in managing technological product design and development.
  • 3.00 Credits

    Prerequisite(s): Acceptance into the Master of Science in Engineering and Technology Management or other UVU graduate programs. Explores the fundamental principles of artificial intelligence (AI) and its impact on business, technology, and society. Examines the history of AI technology development. Examines the ethical and moral implications of AI. Provides strategies for incorporating AI into business practices. Prepares students to use AI in organizations.
  • 3.00 Credits

    Prerequisite(s): Acceptance into Master of Science in Engineering and Technology Management program or approval of graduate program director. Presents concepts, methods, and tools of economic analysis and managerial decision-making from a cash flow perspective. Emphasizes the time value of money, present worth analysis, annual equivalent worth, rate of return, depreciation, and inflation analyses. Covers the evaluation of projects, and comparison and selection among alternatives addressed. Interprets general accounting principles and basic financial analysis.
  • 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.