Areas of Study
The use of technical and free electives allow IOE undergraduate students to focus on specific areas of study.
| COMPUTING & ANALYTICS
Learn the data science concepts needed to create decision support systems using advanced analytic techniques that transform raw data into information to aid engineers, managers, and executives in making decisions.
Courses: Data Analytics, Decision Analysis, Queueing Systems, Simulation, Productivity Analysis and Performance Measurement
| HUMAN SYSTEMS INTEGRATION
Understand the human factor— how our bodies and our minds impact our efficiency and our ability to work and how to use this knowledge to design safe and efficient workplaces and organizations.
Courses: Human Error and Complex System Failures, Automotive Human Factors, Human Motor Behavior and Engineering Systems, Occupational Biomechanics and Exoskeletons
| MANAGEMENT ENGINEERING
Understand how people act as individuals and in groups and use this knowledge to maximize the efficiency of organizations. You will learn how to apply administration, group dynamics, and human motivation to managerial problems critical for success in today’s workplace.
Courses: Corporate Finance, Risk Analysis, Occupational Safety Management, Supply Chain Management, Six Sigma
| MANUFACTURING & SERVICE SYSTEM ENGINEERING
Learn how to use principles of individual and operations engineering to maximize profits, minimize costs, and improve health and human safety in a wide variety of manufacturing and service system contexts including emergency response, energy, finance, healthcare, mobility supply chain, and transportation systems.
Courses: Lean Manufacturing and Services, Production and Inventory Control, Facility Planning, Measurement and Design of Work
| OPERATIONS RESEARCH
Learn advanced methods for describing, predicting, and optimizing system performance leveraging techniques from math, statistics, and computation to build data-driven models fundamental to all economic sectors.
Courses: Optimization, Stochastic Processes, Operations Engineering
| QUALITY ENGINEERING
Prepare yourself to cope with the uncertainty in the design of engineering systems. Apple design techniques and reliability analysis to design quality control systems that are resilient to sources of uncertainty such as weather events, market uncertainty and emergencies.
Courses: Quality Engineering Principles and Analysis, Statistical Process Control, Quality Control