Graduate Certificate in Engineering Management

Graduate Certificate in Engineering Management

For those who may not be interested in pursuing a full master’s degree but still have an interest in moving toward a leadership role within a technology-based organization, the online Graduate Certificate in Engineering Management is a perfect fit. As a student of the program, you’ll examine the inner workings of financial modeling and project management as they apply to industries driven by engineering. You’ll also practice working with the latest software and technical tools used by companies around the globe to lead advanced, real-world projects.

The program can help you build a strong foundation for both your career and continued education. After completing your graduate certificate, you’ll be positioned well to pursue leadership positions with groundbreaking companies and technological innovators. The program benefits from UA’s well-established history of academic excellence in engineering, providing access to expert faculty and comprehensive material in an accelerated, flexible format.

Curriculum for the Engineering Management Online Certificate

The curriculum for the online Graduate Certificate in Engineering Management requires only 12 units of credit to complete, making it a convenient, accelerated path to enhanced skills in engineering leadership. The program’s curriculum is designed to provide advanced education in the fundamentals of project management and decision making as they specifically apply to engineering projects. All of the required courses can typically be completed in 1 year.

In order to earn the Graduate Certificate in Engineering Management, students must complete the following course requirements:

Required Courses (9 units)

Financial modeling and simulation of new technology ventures. Topics include Pro Forma financial statements construction, time value of money, accounting, valuation, and technology ownership issues. Entrepreneurship issues related to forming a company will be discussed. This course is intended for graduate students in science or engineering with little or no prior background in engineering economics.
Application of principles of probability and statistics to the design and control of engineering systems in a random or uncertain environment. Emphasis is placed on Bayesian decision analysis. Graduate-level requirements include a semester research project.
Foundations, principles, methods and tools for effective design and management of projects in technology-based organizations. This course focuses on the scope, time, cost, performance and quality concerns of engineering projects characterized by risk and uncertainty. Initiating, planning, executing, monitoring, controlling and closing process are addressed. Students design and complete a project from concept through completion. Project management software is utilized. Graduate-level requirements include completing a more complex project which will include more tasks and will be characterized by greater risk and uncertainty.

Elective Courses (3 units; choose one of the following)

Quality, improvement and control methods with applications in design, development, manufacturing, delivery and service. Topics include modern quality management philosophies, engineering/statistical methods (including process control, control charts, process capability studies, loss functions, experimentation for improvement) and TQM topics (customer driven quality, teaming, Malcolm Baldridge and ISO 9000). Graduate-level requirements include additional readings and assignments/projects.
Principles of the engineering sales process in technology-oriented enterprises; selling strategy, needs analysis, proposals, technical communications, electronic media, time management and ethics; practical application of concepts through study of real-world examples. Graduate-level requirements include a term paper on a course topic selected from a short list of topics, other graded components of the course and creation of a PowerPoint presentation to the class.
Discrete event simulation, model development, statistical design and analysis of simulation experiments, variance reduction, random variate generation, Monte Carlo simulation. Graduate-level requirements include a library research report.
Survey of methods including network flows, integer programming, nonlinear programming, and dynamic programming. Model development and solution algorithms are covered. Graduate-level requirements include additional assigned readings and a project paper.
Focuses on principles of cost estimation and measurement systems with specific emphasis on parametric models. Approaches from the fields of hardware, software and systems engineering are applied to a variety of contexts (risk assessment, judgment & decision making, performance measurement, process improvement, adoption of new tools in organizations, etc.). Material is divided into five major sections: cost estimation fundamentals, parametric model development and calibration, advanced engineering economic principles, measurement systems, and policy issues. The graduate-level requirements include a final paper.

Course substitutions or changes in electives are allowed with the approval of the program advisor.

Read more for Admissions Information.

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