Industrial Engineering Courses at UMN
Every Industrial Engineering course at University of Minnesota Twin Cities, with difficulty, workload, and ratings. 31 courses · 33 ratings across the web
Ratings across the web
Students give IE courses 4.4 out of 5, and 90% would take one again.
Across 7 rated courses. No reviews written here yet.
Easiest course
IE5533
Operations Research for Data Science · 50/100 difficulty
Most challenging
IE3013
Optimization for Machine Learning · 61/100 difficulty
All Industrial Engineering Courses (31)
IE1101Foundations of Industrial and Systems Engineering
4.8 out of 5 stars4.8· 9 ratings
IE3013Optimization for Machine Learning
4.2 out of 5 stars4.2· 5 ratings
IE3521Statistics, Quality, and Reliability
3.8 out of 5 stars3.8· 4 ratings
IE5533Operations Research for Data Science
5.0 out of 5 stars5.0· 4 ratings
IE5545Decision Analysis
4.8 out of 5 stars4.8· 4 ratings
MATH5711Linear Programming and Combinatorial Optimization
3.8 out of 5 stars3.8· 4 ratings
IE3553Simulation
4.7 out of 5 stars4.7· 3 ratings
IE2021Engineering Economics
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IE3011Optimization Mdls & Mthds
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IE3522Quality Engr & Six Sigma
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IE4011Stochastic Models
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IE4041WSenior Design
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IE4511Human Factors
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IE4541WProject Management
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IE4551Production, Inv, and Svs Ops
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IE5080Topics, Industrial Engineering
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IE5111Systems Engineering I
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IE5113Systems Engineering II
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IE5285Eng the Allocation of Pbl Res
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IE5441Financial Decision Making
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IE5511Human Fact Work Ana
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IE5522Quality Engineering
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IE5524Lean Tools
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IE5531Engineering Optimization I
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IE5532Stochastic Models
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IE5541Project Management
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IE5551Prod & Inv Systems
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IE5561Analytics/Data-Driven Decision
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IE8521Optimization
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IE8534Topics: Operations Research
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IE8564Opt for Machine Learning
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Top Industrial Engineering Courses at UMN
0–100 scores from ratings across the web
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