Complete all courses and requirements listed below unless otherwise indicated.

Core Requirements

IE 6200Engineering Probability and Statistics4
or MATH 7241 Probability 1
OR 6205Deterministic Operations Research4
OR 7245Network Analysis and Advanced Optimization4
or MATH 7234 Optimization and Complexity
OR 7230Probabilistic Operation Research4
or MATH 7341 Probability 2

Options

Select one of the following options:

Coursework Option

Complete 16 semester hours from the course list below.16

Project Option 

OR 7945Master’s Project4
Complete 12 semester hours from the course list below.12

Thesis Option

OR 7945Master’s Project4
OR 7990Thesis (required for all students who receive financial support from the university in the form of a research, teaching, or tuition assistantship)4
Complete 8 semester hours from the course list below.8
In addition to completing the thesis course, students must successfully complete the thesis submission process, including securing Committee and Graduate School of Engineering signatures and submission of an electronic copy of their MS Thesis to ProQuest.

Optional Co-op Experience

Complete the following. Students must complete ENCP 6100 to qualify for co-op experience:
ENCP 6100Introduction to Cooperative Education1
ENCP 6964Co-op Work Experience0
or ENCP 6954 Co-op Work Experience - Half-Time
or ENCP 6955 Co-op Work Experience Abroad - Half-Time
or ENCP 6965 Co-op Work Experience Abroad

Course List

Any course in the following list will serve as an elective course, provided the course is offered and the student satisfies prerequisites and program requirements. Students can take electives outside this list with prior approval from the faculty advisor.
Civil Engineering and Environmental Engineering
Time Series and Geospatial Data Sciences
Computer Science
Algorithms
Machine Learning
Complexity Theory
Computer Systems Engineering
User Experience Design and Testing
Data Science
Supervised Machine Learning and Learning Theory
Unsupervised Machine Learning and Data Mining
General Engineering
Customer-Driven Technical Innovation for Engineers
Product Development for Engineers
Electrical and Computer Engineering
Introduction to Machine Learning and Pattern Recognition
Engineering Management
Engineering Project Management
Engineering/Organizational Psychology
Economic Decision Making
Financial Management for Engineers
Industrial Engineering
Special Topics in Industrial Engineering (Data Visualization Engineering)
Special Topics in Industrial Engineering (Human Performance in Sociotechnical Systems)
Healthcare Systems Modeling and Analysis
Systems Engineering in Public Programs
Lean Concepts and Applications
Manufacturing Systems Design
Supply Chain Engineering
Simulation Analysis
Data Mining in Engineering
Statistical Methods in Engineering
Statistical Quality Control
Reliability Analysis and Risk Assessment
Human Factors Engineering
Mathematics
Graph Theory
Mathematical Statistics
Operations Research
Metaheuristics and Applications
Inventory Theory
Integer and Nonlinear Optimization
Convex Optimization and Applications
Logistics, Warehousing, and Scheduling
Or any other IE, OR, MATH, CS, and graduate engineering courses

Program Credit/GPA Requirements

32 total semester hours required (33 with optional co-op)
Minimum 3.000 GPA required