Human Systems Engineering is a key focus area within Industrial and Systems Engineering. Complex socio-technical systems are common elements of many industries and workplaces and there is a need for human-centered design. Through this concentration, students will learn and apply human factors science to the analysis, design, and evaluation of human-technology systems. Students will learn the importance of characterizing human cognitive and physical capabilities, as bases for information processing and manual work, along with methods for measurement and modeling. Students will learn the scientific method for experimental characterization of human performance as a basis for prediction of how automation may be used in decision processes. Students will also learn how to translate human performance data to system design recommendations and engineering practice.

Core Courses:

• EIN 5249 – Human Factors in Systems Design (EDGE and on-campus) (3 credits)


• ESI 6325 – Applied Probability Methods in Engineering (EDGE and on-campus) (3 credits)



Suggested Courses: (Must select 3 courses):



• EIN 6216 – Occupational Safety Engineering (3 credits)


• EIN 6215 – System Safety Engineering (EDGE and on campus) (3 credits)


• EIN 6212 – Loss Assessment and Control (EDGE and on campus) (3 credits)


• ESI 6553 – Systems Design (EDGE and on campus) (3 credits)


• ESI 6555 – Systems Management (EDGE and on campus) (3 credits)


• ESI 6552 – Systems Architecture (EDGE and on campus) (3 credits)

Operations Research is a core area of the Industrial & Systems Engineering discipline. The purpose of this concentration is to provide students with the knowledge of deterministic and applied probability methods for complex systems analysis and operational support. The focus of coursework in this area is on mathematical foundations and modeling for representing real-world systems. Students will learn how to identify and confirm types of mathematical functions based on real-world data and to use this information as a basis for developing models to optimize system performance. Students will also develop skills to use state-of-the-art software packages for developing models as a basis for human decision-making. Students will also learn to assess computational complexity and develop efficient algorithms to solve a wide range of problems with optimal or near-optimal solutions.

Core Courses:

• ESI 6314 – Deterministic Methods in Operations Research (4 credits)


• ESI 6325 – Applied Probability Methods in Engineering (3 credits)



Suggested Courses (Must select 3 courses):



• ESI 6420 - Fundamentals of Mathematical Programming (3 credits)


• ESI 6417 - Linear Programming and Network Optimization (3 credits)
  


• ESI 6546 - Stochastic Modeling and Analysis (3 credits)


• ESI 6341 - Introduction to Stochastic Optimization (3 credits)


• ESI 6448 - Discrete Optimization Theory (3 credits)


• ESI 6492 - Global Optimization (3 credits)


• EIN 6905 - Advanced Topics in Continuous Optimization (3 credits)

Production and Service Operations is another core area of the Industrial and Systems Engineering discipline. The purpose of this concentration is to enable students to analyze, understand, and manage operations of manufacturing/production or service organizations, including but not limited to energy, healthcare, logistics, transportation, and supply chain management. Through this concentration, graduate students will be introduced to production and inventory control models, supply and production demand forecasting models, service system queuing models, and real-world problems and datasets for model applications. Students will learn how to classify specific types of inventory control problems as well as queuing systems. Students will be trained to analyze the efficiency of these production and service system, develop representative models, and make predictions of value-added processes for each type of system.

Core Courses:

• ESI 6314 – Deterministic Methods in Operations Research (4 credits)


• ESI 6325 – Applied Probability Methods in Engineering (3 credits)



Suggested Courses (Must select 3 courses):



• ESI 6323 – Models for Supply Chain Management (3 credits)


• EIN 6357 – Advanced Engineering Economy (3 credits)


• EIN 6510 – Principles of Manufacturing Systems Engineering (3 credits)


• ESI 6529 – Digital Simulation Techniques (3 credits)


• EIN 5501 – Health Systems Engineering Models and Methods (3 credits)


• EIN 6422 – Manufacturing Management (3 credits)


• ESI 6352 - Financial Optimization Case Studies (3 credits)

The engineering management concentration is offered for working professionals to meet the career needs of 21st century technical managers. This is a collaborative program between the Herbert Wertheim College of Engineering and the Warrington College of Business that enables students to earn a master’s degree in Industrial & Systems Engineering with an engineering management focus. The curriculum consists of a combination of engineering and business courses. From the engineering sequence, students learn to model for better decision making, and develop expertise in supply chain management and quality management, and business process re-engineering. From the business sequence, students receive a solid working background in organizational behavior, accounting, finance, marketing, and business policy.

• ESI 6314 – Deterministic Methods in Operations Research (4 credits)


• MAN 5245 – Organizational Behavior (3 credits)


• ESI 6346 – Decision Making Under Uncertainty (3 credits)


• ACG 5065 – Financial and Managerial Accounting (3 credits)


• ESI 6323 – Models for Supply Chain Management (3 credits)


• FIN 5405 – Business Financial Management (3 credits)


• EIN 6176 – Advanced Quality Management and Engineering for Business Processes (3 credits)


• MAR 5805 – Problems and Methods in Marketing Management (3 credits)


• EIN 6905 – Master’s Project (Rotating Topic) (1-6 credits)


• MAN 6721 – Business Policy (3 credits)

*This concentration is for OEM students only

Here is a link to the OEM webpage