Minor Programs

The minor in engineering management is intended for students with majors in engineering, engineering technology, computer science, physics, chemistry, mathematics, ocean, earth and atmospheric sciences, or biology. Students with majors in other disciplines may also pursue this minor, and they are encouraged to talk with their advisors to determine its appropriateness to their educational objectives.

The minor develops the skills in team building, interpersonal communications, decision making, ethics and leadership, project management, risk analysis, and quality assurance that employers are increasingly looking for in both engineers and scientists, as well as in other employees in "high tech" organizations. The minor also satisfies the University's General Education upper-division requirement.

Understanding and applying techniques (e.g. communications design, conflict resolution, organizational analysis, team design) necessary to effectively participate in, design and manage performance in a technology-based enterprise. This includes soft (human) issues as well as hard (operations design) issues with an emphasis on teams, communications, leadership, operations and design.

This provides for the design, analysis, operation and maintenance of complex systems. Students are exposed to system concepts (e.g. complexity, system darkness, variety) and their application to the design and systemic analysis of complex systems (e.g. Gibson's system study process). Students are prepared to design and conduct a thorough system study - ranging from problems/issues to complex system design. Emphasis is on systems approaches, system study design, and managing complex systems.

The application of mathematical and statistical tools to aid in data analysis, interpretation, and decisions (e.g. statistical process control, statistical tests, optimization methods). Students are prepared to assess management issues from the perspective of data and how to assess data needs, effectively design for collection of the necessary data, and apply effective tools to analyze data to make more informed management decisions. Applied tools range from simple (e.g. pairwise comparison, descriptive statistics) to complex (design of statistical tests of data, e.g. test of means, determination of sample size). Students learn to use data effectively to "aid" in decisions, but to further make decisions based on the "whole" picture, not just what the data says, enabling them to interpret data based on the context of the problem/data in a managerial capacity. Emphasis is on decision tools, quantitative problem structuring, data collection and analysis, results interpretation, and quality assurance.

This aspect of the engineering management minor focuses on learning the tools and issues in the planning, scheduling, controlling and evaluation of work with time, budget and performance constraints. Students learn the fundamental tools necessary to design and manage a project in a technology-based organization. Particular attention is paid to design through the life cycle (e.g. initiation, planning and design, execution, closure) and the role/functions/tools of the project manager to enhance project success. Students are able to establish project life cycles and tools (e.g. priorities, evaluation, planning, scheduling, control, evaluation). Emphasis is on project design, tools, project management fundamentals, depth of subject treatment and software knowledge.

Understanding and applying techniques (e.g. communications design, conflict resolution, organizational analysis, team design) necessary to effectively participate in, design and manage performance in a technology-based enterprise. This includes soft (human) issues as well as hard (operations design) issues with an emphasis on teams, communications, leadership, operations and design.

This provides for the design, analysis, operation and maintenance of complex systems. Students are exposed to system concepts (e.g. complexity, system darkness, variety) and their application to the design and systemic analysis of complex systems (e.g. Gibson's system study process). Students are prepared to design and conduct a thorough system study - ranging from problems/issues to complex system design. Emphasis is on systems approaches, system study design, and managing complex systems.

The application of mathematical and statistical tools to aid in data analysis, interpretation, and decisions (e.g. statistical process control, statistical tests, optimization methods). Students are prepared to assess management issues from the perspective of data and how to assess data needs, effectively design for collection of the necessary data, and apply effective tools to analyze data to make more informed management decisions. Applied tools range from simple (e.g. pairwise comparison, descriptive statistics) to complex (design of statistical tests of data, e.g. test of means, determination of sample size). Students learn to use data effectively to "aid" in decisions, but to further make decisions based on the "whole" picture, not just what the data says, enabling them to interpret data based on the context of the problem/data in a managerial capacity. Emphasis is on decision tools, quantitative problem structuring, data collection and analysis, results interpretation, and quality assurance.

This aspect of the engineering management minor focuses on learning the tools and issues in the planning, scheduling, controlling and evaluation of work with time, budget and performance constraints. Students learn the fundamental tools necessary to design and manage a project in a technology-based organization. Particular attention is paid to design through the life cycle (e.g. initiation, planning and design, execution, closure) and the role/functions/tools of the project manager to enhance project success. Students are able to establish project life cycles and tools (e.g. priorities, evaluation, planning, scheduling, control, evaluation). Emphasis is on project design, tools, project management fundamentals, depth of subject treatment and software knowledge.