B.S. IEOR

The objectives of the IEOR BS program are to produce graduates who:

• are skilled in quantitative modeling and analysis of systems-level decision problems concerned with economic efficiency, productivity, quality, and sustainability;
• are skilled in the development and creative use of analytical and computational methods for solving these problems; 
• are skilled in the collection of and analysis of data, the use of database and decision-support tools, and in applying analytics methodologies;

• are skilled in the comprehension and analysis of uncertainty;

• obtain the broader skills, background and knowledge necessary to be an effective professional in a rapidly changing global economy.

All IEOR BS graduates are expected to acquire the ABET student outcomes: 

• an ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics; 
• an ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors; 
• an ability to communicate effectively with a range of audiences; 
• an ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts; 
• an ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives; 
• an ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions; 
• an ability to acquire and apply new knowledge as needed, using appropriate learning strategies;

Graduates of the IEOR BS program are also expected to be able to:

• identify, analyze, and evaluate alternative or candidate solutions for decision problems; 
• identify appropriate models and methods for solving decision problems 
• formulate mathematical optimization models for real-life decision problems; 
• understand methods for solving deterministic optimization problems and utilize optimization software for solving such problems; 
• formulate analytical models and develop computer simulations to predict and optimize systems under uncertainty; 
• develop models and utilize analytical tools and software to evaluate decisions under uncertainty; 
• understand performance measurement; 
• understand important concepts in manufacturing and service operations; 
• design and apply analytical models for manufacturing and service operations; 
• critique and reorganize business and industrial process flows and information flows; 
• structure data to support decisions related to the aforementioned topics; 
• understand organizational design and management issues.