Industrial Engineering Degree
Students must also complete the Undergraduate Registration Requirement and the degree requirements of their home school.
Requirements (48 units)
Core Courses (26 units) 1
| Course | Title |
|---|---|
| 4 mathematics courses | |
| 4 units of basic science 2 | |
| General Physics 3 | |
Plus an additional 3 units from the list of basic science courses | |
| 3 engineering foundation courses | |
| 3 design, communications, and innovation courses | |
| 7 social sciences/humanities courses | |
| 5 unrestricted electives | |
Major Program (22 units)
| Course | Title |
|---|---|
| 2 related courses | |
| Economics and Finance for Engineers 4 | |
| Applied Data Management 5 | |
| 7 industrial engineering methods core courses | |
| Probability | |
| Engineering Statistics | |
| Statistical Learning for Data Analysis | |
| Foundations of Optimization | |
| Nonlinear Optimization for Decision Making | |
| Stochastic Models | |
| Discrete Event Systems Simulation | |
| 3 professional practice courses | |
| Professional Practice Studio | |
| Industrial Engineering Client Project Challenge | |
| 7 IEMS elective courses | |
IEMS 200-0 Why IE: Professional Foundations of Industrial Engineering; or 1 additional course from industrial engineering, operations, or management science electives | |
3 additional courses from | |
| 3 general technical elective courses chosen from areas below | |
Any IEMS course not applied towards another degree requirement | |
Any 200-level or higher course in McCormick, excluding CRDV and PRDV courses | |
Any 200-level or higher course in Biology, Chemistry or Physics, except for exclusions listed below | |
Any 300-level or higher course in Math or MMSS, except for exclusions listed below | |
The following courses may not be used as General Technical Electives: CHEM 201-0, MATH 310-1, MATH 311-1, MATH 314-0, MATH 385-0, MATH 386-1, PHYSICS 311-1, PHYSICS 311-2, PHYSICS 335-0 | |
May include up to 2 units of IEMS 399-0 or other independent study credit. | |
At most 2 General Technical Electives may be taken P/N; no other electives may be taken P/N. | |
- 1
See general requirements for details.
- 2
-
PHYSICS 125-1 General Physics for ISP or PHYSICS 140-1 Fundamentals of Physics may be substituted for PHYSICS 135-1 General Physics.
- 3
PHYSICS 135-1 General Physics can be replaced by GEN_ENG 212-0 Engineering Physics - Dynamics
- 4
May not be taken with or after KELLG_FE 310-0 Principles of Finance; see adviser for alternatives.
- 5
Can be replaced with COMP_SCI 208-0 Data Structures & Algorithms
Students may earn one or more of six optional concentrations.
Major Program Electives
Ethical Development Courses
| Course | Title |
|---|---|
| Theories of Persuasion | |
| Topics in Literature and Ethics | |
| Leadership, Ethics, and You | |
| Tech Ethics and Business Integrity | |
| Introduction to Critical Theory | |
| Minds and Machines | |
| Introduction to Moral Philosophy | |
| Ethical Problems and Public Issues | |
| Bioethics | |
| Scientific Method in the Social Sciences | |
| Business and Professional Ethics | |
| Integrity and the Politics of Corruption |
Operations Electives
| Course | Title |
|---|---|
| Analytics for Social Good | |
| Supply Chain Modeling and Analysis | |
| Operations Engineering and Management | |
| Service Engineering and Management | |
| Introduction to Health Systems Management | |
| Special Topics in Industrial Engineering (pre-approved topics only) |
Industrial Engineering Electives
| Course | Title |
|---|---|
| Foundations of Modern Machine Learning | |
| Quality Improvement by Experimental Design | |
| AI-Enabled Sequential Decision Making | |
| Foundations of Generative AI & Reasoning Systems | |
| Intro to Financial Engineering | |
| Special Topics in Industrial Engineering (pre-approved topics only) |
Management Science Electives
| Course | Title |
|---|---|
| Engineering Entrepreneurship | |
| Qualitative Methods in Engineering Systems | |
| Social Networks Analysis | |
or IEMS 341-SA | Social Networks Analysis |
| Organizational Behavior | |
| Project Management for Engineers | |
| Whole-Brain Leadership | |
| Negotiations and Conflict Resolution for Engineers | |
| Organizational Leadership | |
or IEMS 349-SA | Organizational Leadership |
| Humans, AI, and the Future of Decision-making | |
| Tech Investment & Enterprise Strategy | |
| Special Topics in Industrial Engineering (pre-approved topics only) |
Other Approved Non-engineering Technical Electives
| Course | Title |
|---|---|
| BUS_INST 301-0 | Accounting |
| BUS_INST 302-0 | Marketing Management |
| BUS_INST 303-0 | Leadership in Organizations |
| ECON 309-0 | Public Finance |
| ECON 331-0 | Economics of Risk and Uncertainty |
| ECON 336-0 | Analytic Methods for Public Policy Analysis |
| ECON 339-0 | Labor Economics |
| ECON 349-0 | Industrial Economics |
| ECON 350-0 | Monopoly Competition & Public Policy |
| ECON 355-0 | Transportation Economics and Public Policy |
| ECON 360-2 | Investments |
| ECON 362-0 | International Finance |
| ECON 371-0 | Economics of Energy |
| ECON 380-1 | Game Theory |
| ECON 380-2 | Game Theory |
| ECON 381-1 | Econometrics |
| ECON 381-2 | Econometrics |
| IMC 303-0 | Integrated Marketing Communications Strategy |
| ISEN 220-0 | Introduction to Energy Systems for the 21st Century |
| ISEN 230-0 | Climate Change and Sustainability: Ethical Dimensions |
| LOC 306-0 | Studies in Organizational Change |
| LOC 311-0 | Tools for Organizational Analysis |
| STAT 302-0 | Data Visualization |
| STAT 320-3 | Statistical Theory & Methods 3 |
| STAT 325-0 | Survey Sampling |
| STAT 328-0 | Causal Inference |
| STAT 330-1 | Applied Statistics for Research 1 |
| STAT 332-0 | Statistics for Life Sciences |
| STAT 344-0 | Statistical Computing |
| STAT 348-0 | Applied Multivariate Analysis |
| STAT 352-0 | Nonparametric Statistical Methods |
| STAT 353-0 | Advanced Regression |
| STAT 354-0 | Time Series Modeling |
| STAT 355-0 | Analysis of Qualitative Data |
| STAT 356-0 | Hierarchical Linear Models |
| STAT 357-0 | Introduction to Bayesian Statistics |
| STAT 365-0 | Introduction to the Analysis of Financial Data |
Major Program Concentrations (Optional)
Concentrations consist of three courses that satisfy the following guidelines, and will be noted on the transcript.
- Each concentration must include two courses not used towards any other IEMS concentration, and must include one course outside IEMS.
- Courses used to fulfill major requirements may be used towards concentrations.
- Students may not earn a concentration if receiving a major, minor or certificate in an area with substantial overlap.
- Students are responsible for reviewing and meeting stated prerequisites for courses in the concentration.
Quantitative Finance
| Course | Title |
|---|---|
| IEMS 373-0 | Intro to Financial Engineering |
| One course from | |
| Economics of Risk and Uncertainty | |
| Investments | |
| International Finance | |
| One additional course from previous list, or from | |
| Foundations of Modern Machine Learning | |
| Nonlinear Optimization for Decision Making | |
| Foundations of Generative AI & Reasoning Systems | |
| Time Series Modeling | |
| Introduction to the Analysis of Financial Data | |
Operations, Transportation & Logistics
| Course | Title |
|---|---|
| Students receiving the Transportation & Logistics Minor may not receive this concentration. | |
| CIV_ENV 371-0 | Introduction to Transportation Planning and Analysis |
| CIV_ENV 376-0 | Transportation System Operations |
| CIV_ENV 377-0 | Choice Modelling in Engineering |
| DSGN 386-0 | Manufacturing Engineering Design |
| ECON 355-0 | Transportation Economics and Public Policy |
| IEMS 381-0 | Supply Chain Modeling and Analysis |
| IEMS 382-0 | Operations Engineering and Management |
| IEMS 383-0 | Service Engineering and Management |
| IEMS 385-0 | Introduction to Health Systems Management |
Data Science and Engineering
| Course | Title |
|---|---|
| Students receiving the McCormick Minor in Machine Learning & Data Science may not receive this concentration. | |
| BMD_ENG 311-0 | Computational Genomics |
| CIV_ENV 377-0 | Choice Modelling in Engineering |
| COMP_SCI 312-0 | Data Privacy |
| COMP_SCI 326-0 | Introduction to the Data Science Pipeline |
| COMP_SCI 348-0 | Introduction to Artificial Intelligence |
| COMP_SCI 396-0 | Special Topics in Computer Science ((Computing, Ethics, and Society)) |
| DATA_ENG 300-0 | Data Engineering Studio |
| ELEC_ENG 328-0 | Information Theory & Learning |
| ELEC_ENG 335-0 | Deep Learning Foundations from Scratch |
| ELEC_ENG 373-0 | Deep Reinforcement Learning |
| ELEC_ENG 395-0 | Special Topics in Electrical Engineering ((Optimization Techniques for Machine Learning and Deep Learning)) |
| ES_APPM 375-1 | Quantitative Biology I: Experiments, Data, Models, and Analysis |
| ES_APPM 375-2 | Quantitative Biology II: Experiments, Data, Models, and Analysis |
| IEMS 340-0 | Qualitative Methods in Engineering Systems |
| IEMS 352-0 | Foundations of Generative AI & Reasoning Systems |
| MECH_ENG 301-0 | Introduction to Robotics Laboratory |
| STAT 302-0 | Data Visualization |
| STAT 357-0 | Introduction to Bayesian Statistics |
| STAT 362-0 | Advanced Machine Learning for Data Science |
Human-centered Engineering
| Course | Title |
|---|---|
| Students receiving the Human-Computer Interaction Certificate may not receive this concentration. | |
| CIV_ENV 308-0 | Environmental Justice |
| CIV_ENV 377-0 | Choice Modelling in Engineering |
| COMP_SCI 314-0 | Technology and Human Interaction |
| COMP_SCI 315-0 | Design, Technology, and Research |
| COMP_SCI 329-0 | HCI Studio |
| COMP_SCI 330-0 | Human Computer Interaction |
| COMP_SCI 347-0 | Conversational AI |
| DSGN 300-0 | Designing Your Life |
| DSGN 306-0 | User Experience Design |
| DSGN 308-0 | Human-Centered Product Design |
| DSGN 382-1 | Service Design Studio I |
| DSGN 382-2 | Service Design Studio II |
| IEMS 340-0 | Qualitative Methods in Engineering Systems |
| IEMS 341-0 | Social Networks Analysis |
| IEMS 342-0 | Organizational Behavior |
| IEMS 344-0 | Whole-Brain Leadership |
| IEMS 345-0 | Negotiations and Conflict Resolution for Engineers |
| IEMS 385-0 | Introduction to Health Systems Management |
| LOC 306-0 | Studies in Organizational Change 5 |
| LOC 311-0 | Tools for Organizational Analysis 5 |
- 5
Accepted as General Tech Elective by petition.
Graduate Preparation
| Course | Title |
|---|---|
| COMP_SCI 335-0 | Introduction to the Theory of Computation |
| COMP_SCI 336-0 | Design & Analysis of Algorithms |
| ES_APPM 345-0 | Applied Linear Algebra |
| IEMS 401-0 | Applied Mathematical Statistics 6 |
| IEMS 450-1 | Mathematical Optimization I 6 |
| MATH 300-0 | Foundations of Higher Mathematics |
| MATH 306-0 | Combinatorics & Discrete Mathematics |
| MATH 308-0 | Graph Theory |
| MATH 320-1 | Real Analysis |
| MATH 320-2 | Real Analysis |
| MATH 320-3 | Real Analysis |
| MATH 330-1 | Abstract Algebra |
| MATH 330-2 | Abstract Algebra |
| MATH 330-3 | Abstract Algebra |
| MATH 334-0 | Linear Algebra: Second Course |
| MATH 370-0 | Mathematical Logic |
- 6
Instructor permission required.
Product Management
| Course | Title |
|---|---|
| Courses must come from at least two different departments/areas. Only one course can be used towards any of the Segal Design Certificate, the Business Institutions Minor, and the Entrepreneurship Minor. | |
| BUS_INST 301-0 | Accounting |
| BUS_INST 302-0 | Marketing Management |
| BUS_INST 303-0 | Leadership in Organizations |
| or IEMS 344-0 | Whole-Brain Leadership |
| COMP_SCI 394-0 | Agile Software Development |
| IMC 303-0 | Integrated Marketing Communications Strategy |
| IEMS 325-0 | Engineering Entrepreneurship |
| or ENTREP 325-0 | Engineering Entrepreneurship |
| ENTREP 331-0 | Entrepreneurial Sales and Marketing |
| ENTREP 340-0 | Innovation for Impact |
| DSGN 306-0 | User Experience Design |
| DSGN 308-0 | Human-Centered Product Design |
| DSGN 382-1 | Service Design Studio I |
| DSGN 382-2 | Service Design Studio II |