Industrial engineering has evolved to focus on harnessing data for making important decisions. At Northwestern, we call this data science for decision making. Industrial engineers are problem solvers who optimize processes and systems to improve performance and efficiency in industries like healthcare, finance, tech, the public sector, manufacturing, retail, and supply chain and logistics. Their work impacts all of society’s vital goods and services.
The BS in industrial engineering is ideal for students interested in solving complex problems with math and data. We teach techniques like machine learning, probability, statistics, math modeling, optimization, simulation, and decision analysis. Students develop both analytical skills and their knowledge of business allowing them to understand how different parts of a system interact and how they can be configured to meet a common goal. These fundamentals are combined with allied fields of science and engineering to broaden one’s technical proficiency, as well as with elective courses in social sciences, fine arts, history, and philosophy to expand background knowledge and perspectives essential for applying technical skills.
Imagine yourself:
- Using computer simulations to envision transportation systems in the cities of the future
- Studying how nutrition policies can help infants in NICU units
- Designing robot shepherds to provide support during disaster relief
- Discovering how social networks perform in new contexts, such as business, healthcare, and space travel
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