Graduate Courses
Introduction
This page provides easy access to information about current graduate course offerings in mechanical engineering, industrial engineering, and energy engineering.
Graduate Course Catalog
The graduate course catalog is maintained by the university. Visit MIE’s catalog page to see up-to-date course codes and descriptions. Select mechanical engineering (ME), industrial engineering (IE), or energy engineering (ENER) in the left-hand menu to see up-to-date course codes and descriptions.
Degree Requirements
Course Guides and Resources
- Academic Calendar
- Class Schedule: Access via my.uic.edu
- Current course schedules can be found on the MIE Graduate Student Resources page
- MIE Graduate Student Handbook
- UIC Graduate College Homepage
Additional information
IDS Course List for IE Students
- IDS 594. Intro to AI & Cloud Computing (400 level)
- IDS 594. Quality Management (400 level)
- IDS 517. Enterprise Application Development IDS (400 level)
- IDS 523. Audit and Control of Information Systems (400 level)
- IDS 532. Introduction to Operation Management (400 level)
- IDS 534. Project Management (400 level)
- IDS 535. Vendor Management (400 level)
- IDS 594. Global Sourcing and Logistics (400 level)
- IDS 551. Operations Management in the Service Sector (400 level)
- IDS 594. Emergency Quality and Planning in Healthcare (400 level)
- IDS 521. Advanced Database Management (500 level)
- IDS 561. Analytics for Big Data (500 level)
- IDS 520. Enterprise Information Infrastructure Planning (500 level)
- IDS 572. Data Mining for Business (500 level)
- IDS 552. Supply Chain Management (500 level)
- IDS 558. Revenue Management (400 level)
- IDS 594. Advanced Analytics using SAS (400 level)
- IDS 575. Machine Learning & Statistical Methods for Business Analytics (500 level)
Per Dr. Houshang Darabi, Department Head, students admitted with an undergraduate degree outside of industrial engineering who are required to take IE 446 can take IE 571 in its place to satisfy the IE 446 requirement.
Per the MIE graduate committee, CME 594. Applied Data Science for Non-Computer Scientists will be considered as an out-of-rubric 400-level course for IE graduate students.
Approved Math Courses for PhD in IE Students
- IE 472. Operations Research II
- IE 473. Stochastic Processes and Queuing Models
- IE 594. Time Series Analysis and Forecasting
- IE 594. Data Science I
- STAT 481. Applied Statistical Methods II
- STAT 501. Probability Theory
- STAT 416. Nonparametric Statistical Methods