Courses | Master's in Engineering Management Online | University of Miami

Integrating engineering discipline into the social and economic considerations of managing systems. Tools and techniques used by engineering managers including engineering project life cycle, role playing, communication, decision-making in engineering management, and managing change in engineering organizations are discussed.

This course addresses the concepts, theories, tools, and methodologies employed in the management and improvement of quality. The course examines many of the advance topics in statistical quality control, including control charts and process capability studies, acceptance sampling, as well as Quality Function Deploy ment (QFD) and introduction to reliability. Also covered in the course are Lean Six Sigma methodology, tools, and concepts.

This course focuses on some of the most commonly-used data analytics models and covers the basics of data analytics using the open source software R (which is one of the fastest growing open source software platforms). Specific course topics include data preprocessing and cleaning, fundamentals of R (for basic data analytics tasks), regression analysis, discriminant analysis and classification, segmentation/clustering, model tuning/selection, performance measurement in data analytics, and decision making with data. This course provides hands-on skills to engineering graduate students with performing statistical data analysis and decision-making utilizing common types of data sets.

This covers the critical issues faced by technical managers and engineers in dealing with the aspects of complex economic issues involved in technical management ventures. The course emphasizes sound theoretical foundation as well as the practical applications of economic theory to the resolution of capital issues, investment strategies, and financial management of complex technical systems. Students will be required to complete both qualitative as well as quantitative assignments (capital budgeting, sensitivity analysis, decisions under conditions of risk and uncertainty, decision tree analysis, financial engineering and behavioral economics) geared to develop the student’s abilities to handle both the technical and soft issues related to the technical management of the economics of organizations.

Techniques and tools in project management. Use of network flow techniques including PERT/CPM, planning, systems concepts, time management, conflicts, cost and resource control, tradeoff analysis.

Supply chain management focuses on the flow of products, information, and money throughout the supply chain. An overview of issues, opportunities, tools, and approaches is provided. Emphasis is placed on business processes, system dynamics, control, design, and re-engineering, and on the relationship between the supply chain and the company's strategic position relative to its clients and its competition. The dimensions of inter-corporate relationships with partners, including decision-making, incentives, and risk are also covered.

Students may choose to take this course OR ISE 765, both are not required.

Quantitative, heuristic, and computer methods applied to problems of production planning, work force balancing, and capacity expansion. Sequencing and scheduling models. Advanced Material Requirements Planning (MRP II). Just In Time production systems (JIT). Master Production Scheduling (MPS). Optimize Production Technology (OPT). KANBAN production planning system. Learning curve theory. Advanced forecasting and time-series analysis.

Students may choose to take this course OR ISE 765, both are not required.

Capstone course. The conversion of technological know-how and engineering theories into business enterprises. The role of technology in creating wealth, connecting technology with market, the role and characteristics of entrepreneurs, starting a business and the business plan, innovation, industrial and service organizations, and the new business environment.

The objectives of this course are to develop interpersonal communication and conflict management skills necessary to work in teams and/or exercise leadership in teams. Topics include team development, decision making, and diagnosing team process issues.

Course is designed to give prospective senior managers an understanding of how technology can be used to transform business. Topics include technology platforms and solutions, design thinking, technology-business models, technology leadership issues, managing technology change, and innovation through technology.

Supply chain management focuses on the flow of products, information, and money throughout the supply chain. An overview of issues, opportunities, tools, and approaches is provided. Emphasis is placed on business processes, system dynamics, control, design, and re-engineering, and on the relationship between the supply chain and the company's strategic position relative to its clients and its competition. The dimensions of inter-corporate relationships with partners, including decision-making, incentives, and risk are also covered.

Quantitative, heuristic, and computer methods applied to problems of production planning, work force balancing, and capacity expansion. Sequencing and scheduling models. Advanced Material Requirements Planning (MRP II). Just In Time production systems (JIT). Master Production Scheduling (MPS). Optimize Production Technology (OPT). KANBAN production planning system. Learning curve theory. Advanced forecasting and time-series analysis.