This is an archived copy of the 2020-2021 catalog. To access the most recent version of the catalog, please visit http://catalog.ufl.edu.
Program Information
The Department of Industrial and Systems Engineering offers the Master of Engineering degree, the Master of Science degree, the Engineer degree, and the Doctor of Philosophy degree. Complete descriptions of the minimum requirements for the M.E., M.S., Engineer, and Ph.D. degrees are provided in the Graduate Degrees section of this catalog.
Master of Science (M.S.) Program
Admission to the Master of Science program is open to students with an undergraduate degree in engineering, mathematics, statistics, computer science, physics, quantitative management, or similar field. The M.S. degree does not require a thesis, although a student interested in pursuing research or possibly continuing their education beyond a master’s degree is encouraged to write one.
Master of Engineering (M.E.) Program
Students seeking admission to the Master of Engineering program must have a bachelor’s degree from an ABET-accredited curriculum or have taken sufficient articulation course work to meet the minimum requirements specified by ABET. The M.E. degree does not require a thesis and is generally considered a terminal degree.
Ph.D. Program
The doctoral program in Industrial and Systems Engineering covers the areas of data analytics, health systems engineering, human-systems engineering, operations research (including deterministic and stochastic processes), risk management and financial engineering, and supply chain and logistics systems. Application areas include energy systems, financial engineering, healthcare, manufacturing systems, security systems, supply chain management, and transportation systems.
For more information, please see our website: http://www.ise.ufl.edu.
Degrees Offered with a Major in Industrial and Systems Engineering
- Doctor of Philosophy
- without a concentration
- concentration in Quantitative Finance
- Master of Engineering
- Master of Science
Requirements for these degrees are given in the Graduate Degrees section of this catalog.
Industrial and Systems Engineering Departmental Courses
| Code | Title | Credits |
|---|---|---|
| EGN 5949 | Practicum/Internship/Cooperative Work Experience | 1-6 |
| EGN 6640 | Entrepreneurship for Engineers | 3 |
| EGN 6913 | Engineering Graduate Research | 0-3 |
| EIN 5249 | Human Factors in System Design | 3 |
| EIN 5501 | Health Systems Engineering Models and Methods | 3 |
| EIN 6176 | Advanced Quality Management and Engineering for Business Processes | 3 |
| EIN 6212 | Loss Assessment and Control | 3 |
| EIN 6215 | System Safety Engineering | 3 |
| EIN 6216 | Occupational Safety Engineering | 3 |
| EIN 6336 | Advanced Production and Inventory Control | 3 |
| EIN 6357 | Advanced Engineering Economy | 3 |
| EIN 6422 | Manufacturing Management | 3 |
| EIN 6510 | Principles of Manufacturing Systems Engineering | 3 |
| EIN 6905 | Special Problems | 1-6 |
| EIN 6910 | Supervised Research | 1-5 |
| EIN 6918 | Graduate Seminar | 1 |
| EIN 6940 | Supervised Teaching | 1-5 |
| EIN 6971 | Research for Master's Thesis | 1-15 |
| EIN 7933 | Special Problems | 1-6 |
| EIN 7979 | Advanced Research | 1-12 |
| EIN 7980 | Research for Doctoral Dissertation | 1-15 |
| ESI 5236 | Reliability Engineering | 3 |
| ESI 6314 | Deterministic Methods in Operations Research | 4 |
| ESI 6323 | Models for Supply Chain Management | 3 |
| ESI 6325 | Applied Probability Methods in Engineering | 3 |
| ESI 6341 | Intro to Stochastic Optimization | 3 |
| ESI 6346 | Decision Making under Uncertainty | 3 |
| ESI 6352 | Financial Optimization Case Studies | 3 |
| ESI 6355 | Decision Support Systems for Industrial and Systems Engineers | 4 |
| ESI 6417 | Linear Programming and Network Optimization | 3 |
| ESI 6418 | Linear Programming Extensions and Applications | 3 |
| ESI 6420 | Fundamentals of Mathematical Programming | 3 |
| ESI 6429 | Introduction to Nonlinear Optimization | 3 |
| ESI 6448 | Discrete Optimization Theory | 3 |
| ESI 6449 | Integer Programming | 3 |
| ESI 6492 | Global Optimization | 3 |
| ESI 6529 | Digital Simulation Techniques | 3 |
| ESI 6533 | Advanced Simulation Design and Analysis | 3 |
| ESI 6546 | Stochastic Modeling and Analysis | 3 |
| ESI 6552 | Systems Architecture | 3 |
| ESI 6553 | Systems Design | 3 |
| ESI 6555 | Systems Management | 3 |
College of Engineering Courses
| Code | Title | Credits |
|---|---|---|
| EEE 5354L | Semiconductor Device Fabrication Laboratory | 3 |
| EGN 5010L | NRF Training Lab | 1 |
| EGN 5949 | Practicum/Internship/Cooperative Work Experience | 1-6 |
| EGN 6640 | Entrepreneurship for Engineers | 3 |
| EGN 6642 | Engineering Innovation | 3 |
| EGN 6913 | Engineering Graduate Research | 0-3 |
| EGN 6933 | Special Topics | 1-3 |
| EGN 6937 | Engineering Fellowship Preparation | 0-1 |
| EGS 6039 | Engineering Leadership | 3 |
| EGS 6101 | Divergent Thinking | 3 |
| EGS 6626 | Fundamentals of Engineering Project Management | 3 |
| EGS 6628 | Advanced Practices in Engineering Project Management | 3 |
| EGS 6681 | Advanced Engineering Leadership | 3 |
| EMA 6581 | Polymeric Biomaterials | 3 |
| ESI 6900 | Principles of Engineering Practice | 1-4 |
Industrial and systems engineering (PHD)
SLO 1 Knowledge
Basic proficiency in the core methodological areas of operations research and industrial engineering, including mathematical modeling and optimization theory and algorithms
SLO 2 Professional Behavior
Ability to effectively and professionally communicate industrial engineering concepts and information in lecture format
SLO 3 Skills
Ability to assimilate foundational material, describe important research contributions, and independently plan future research activities that advance the state-of-the-art in the student's field of expertise
SLO 4 Knowledge
Contribution of significant new research to the student's field of expertise, either in theoretical foundations or practical applications
Industrial & Systems Engineering (Me & MS)
SLO 1 Knowledge
Proficiency in the core methodological areas of operations research and industrial engineering, including mathematical modeling and analysis of business problems
SLO 2 Skills
Ability to apply methodology in the customized development of solutions for business problems, and the use of information technologies for solution delivery
SLO 3 Professional Behavior
Ability to effectively and professionally communicate industrial engineering concepts and information in written and oral forms