| Undergraduates admitted before Spring 2021 | Must complete a minimum of 37 credits, including at least one course from each of the following five categories. |
| Undergraduates admitted in Spring 2021 and later | Must complete 16 credits from the Additional Technical Electives List. |
Course categories
- Operations research:
- Statistics:
- Production/operations:
- Design:
- General engineering:
Additional technical elective courses may be chosen from the list below to reach the minimum 37 credits. Use the Request for a Technical Elective Course Form to request approval of a course not included below.
| Course | Credits | Title |
|---|---|---|
| AA 260 | 4 | Thermodynamics |
| AMATH 301 | 4 | Beginning Scientific Computing |
| AMATH 383 | 3 | Introduction to Continuous Mathematical Modeling |
| AMATH 401 | 4 | Vector Calculus and Complex Variables |
| AMATH 402 | 4 | Introduction to Dynamical Systems and Chaos |
| BIOEN 504 | 4 | Introduction to Technology Commercialization |
| BSE 309 | 2 | Creativity and Innovation |
| CHEM 237 | 4 | Organic Chemistry |
| CHEM 238 | 4 | Organic Chemistry |
| CHEME 325 | 4 | Energy & Entropy |
| CHEME 355 | 3 | Biological Frameworks for Engineers |
| CEE 307 | 5 | Construction Engineering |
| CEE 337 | 5 | Construction Materials |
| CEE 357 | 5 | Environmental Engineering |
| CEE 410 | 3 | Traffic Engineering Fundamentals |
| CEE 493 | 3 | Air-Pollution Source Testing and Equipment Evaluation |
| CEE 494 | 3 | Air-Pollution Control Equipment Design |
| CFRM 405 | 3 | Mathematical Methods for Quantitative Finance |
| CFRM 425 | 3 | R Programming for Quantitative Finance |
| CSE 143 | 5 | Computer Programming II |
| CSE 154 | 5 | Web Programming |
| CSE 160 | 4 | Data Programming (only if CSE 143 not taken) |
| CSE 163 | 4 |
Intermediate Data Programming |
| CSE 373 | 4 | Data Structures and Algorithms |
| CSE 374 | 3 | Intermediate Programming Concepts & Tools |
| CSE 410 | 3 | Computer Systems |
| CSE 415 | 3 | Introduction to Artificial Intelligence |
| CSE 414 | 4 | Introduction to Database Systems |
| CSE/STAT 416 | 4 | Intro to Machine Learning |
| CSE 417 | 3 | Algorithms and Computational Complexity |
| EE 233 | 5 | Circuit Theory |
| EE 235 | 5 | Continuous Time Linear Systems |
| EE 271 | 5 | Digital Circuits and Systems |
| EE 341 | 5 | Discrete Time Linear Systems |
| EE 457 | 4 | Electric Energy Distribution Systems |
| EE 482 | 4 | Semiconductor Devices |
| ENGR 100 | 5 | Introduction to Engineering Design (only if taken as Freshman/Sophomore) |
| ENGR 333 | 4 | Advanced Technical Communication in the Engineering Workplace |
| ENGR 499 | 3 | Honors |
| ESRM 320 | 5 | Marketing and Management from a Sustainability Perspective |
| ESRM 321 | 5 | Finance and Accounting from a Sustainability Perspective |
| ESS 472 | var | Rockets & Instrumentation |
| HCDE 411 | 5 | Information Visualization |
| IND E 321 | 4 | Statistical Quality Control |
| IND E 351 | 4 | Human Factors in Design |
| IND E 412 | 4 | Integer and Dynamic Programming |
| IND E 424 | 4 | Simulation |
| IND E 426 | 4 | Reliability Engineering and System Safety |
| IND E 427 | 4 | Data Analytics for Systems Engineering |
| IND E 430 | 4 | Manufacturing Scheduling and Inventory |
| IND E 439 | 4 | Plant Layout & Material Handling |
| IND E 455 | 4 | User Interface Design |
| IND E 470 | 4 | Systems Engineering |
| IND E 496 | 3 | Technology-Based Entrepreneurship |
| IND E 498 | var | Special Topics in Industrial Engineering [View the Professional Practice Seminar speaker schedule] |
| IND E 499 | var | Special Projects |
| IND E 5XX | var | All IND E Graduate Level Courses |
| INFO 330 | 5 | Databases and Data Modeling |
| INFO 370 | 5 | Core Methods in Data Science |
| INFO 430 | 5 | Database Design & Management |
| MATH 309* | 3 | Linear Analysis |
| MATH 324* | 3 | Advanced Multivariable Calculus I |
| MATH 327 | 3 | Introductory Real Analysis I |
| MATH 394 | 3 | Probability I |
| MATH 395 | 3 | Probability II |
| MATH 396 | 3 | Probability III |
| MATH 407 | 3 | Linear Optimization |
| MATH 408 | 3 | Nonlinear Optimization |
| MATH 409 | 3 | Discrete Optimization |
| MATH 491 | 3 | Introduction to Stochastic Processes |
| MATH 492 | 3 | Stochastic Calculus for Option Pricing |
| ME 354 | 5 | Mechanics of Materials Laboratory |
| ME 355 | 4 | Introduction to Manufacturing Processes |
| ME 373 | 5 | Introduction to System Dynamics |
| ME 374 | 5 | Systems Dynamic Analysis and Design |
| ME 409 | 3 | Introduction to Numerical Control and Computer-Aided Manufacturing |
| ME 480 | 4 | Introduction to Computer-Aided Technology |
| MGMT 401 | 4 | Leadership, Critical Thinking, & Decision Making |
| MGMT 402 | 4 | Deal-Making and Negotiations |
| MGMT 403 | 4 | Motivating High Performance |
| STAT 425 | 3 | Intro to Non-parametric Statistics |
| STAT 435 | 4 | Intro to Statistical Machine Learning |
*MATH 309 and MATH 324 will become MATH 209 and MATH 224 effective August 2021.