Master of Science in Industrial Engineering
The School of Industrial and Systems Engineering (ISYE) offers eight master's degrees:
- Master of Science in Industrial Engineering (MS IE);
- Master of Science in Operations Research (MS OR);
- Master of Science in Supply Chain Engineering (MS SCE);
- Master of Science in Statistics (MS STAT);
- Master of Science in Health Systems (MS HS);
- Master of Science in Quantitative and Computational Finance (MS QCF);
- Master of Science in International Logistics (MS IL) that is part of the executive program; and
- Master of Science in Computational Science and Engineering (MS CSE).
Three of these programs are interdisciplinary:
- MS QCF (joint with School of Mathematics, College of Business),
- MS STAT (joint with School of Mathematics) and
- MS SCE (joint with College of Computing, School of Mathematics).
All proposed master's degree programs require thirty semester credit hours with the exception of MS IL and MS QCF (thirty-six credit hours) and MS HS (thirty-three credit hours). None of these MS programs contains a thesis option.
A student seeking a master's degree must have a bachelor's degree and typically one earned in engineering, science, mathematics, or some other field that provides an adequate background for the successful completion of one of ISyE's programs. Students having backgrounds from unaccredited degree programs or in programs that are found lacking in relative substance can expect to first take preliminary coursework in order to elevate their preparation to the level required. The prerequisite coursework for the various master's degrees includes strong performance in probability, statistics, linear algebra, and calculus.
Every MS curriculum is based on core classes offered from the School of ISyE, as well as electives offered by ISyE and other Georgia Tech schools in engineering and science. The MS SCE, MS QCF, and MS IL are professional degree programs with separate curriculums from the other regular MS degrees.
Program Requirements
| Code | Title | Credit Hours |
|---|---|---|
| Core | ||
| ISYE 6201 | Manufacturing Systems | 3 |
| ISYE 6202 | Warehousing Systems | 3 |
| ISYE 6203 | Transportation and Supply Chain Systems | 3 |
| Breadth (Choose 3): | 9 | |
| Advanced Engineering Economy | ||
or ISYE 6227 | Introduction to Financial Engineering | |
| Statistical Modeling and Regression Analysis | ||
| Simulation | ||
| Probabilistic Models and Their Applications | ||
| Deterministic Optimization | ||
| Technical Electives (Choose 2) | 6 | |
| Advanced Engineering Economy | ||
| Economic Decision Analysis | ||
| Scheduling Theory | ||
| Public Impact Applications of Operations Research and Management Science | ||
| Time Series Analysis | ||
| Nonparametric Data Analysis | ||
| Statistical Methods for Manufacturing Design and Improvement | ||
| Design and Analysis of Experiments | ||
| Statistical Modeling and Regression Analysis | ||
| Computational Statistics | ||
| Introduction to Theory and Practice of Bayesian Statistics | ||
| Biostatistics | ||
| Probabilistic Models and Their Applications | ||
| Linear Optimization | ||
| Discrete Optimization | ||
| Nonlinear Optimization | ||
| Stochastic Optimization | ||
| Deterministic Optimization | ||
| Computational Methods in Optimization | ||
| Energy Technology and Policy | ||
| Computational Data Analysis: Learning, Mining, and Computation | ||
| Stochastic Processes I | ||
| Stochastic Processes II | ||
| Reliability Engineering | ||
| Systems Monitoring and Prognostics | ||
| Simulation Theory and Methods | ||
| Data Mining and Statistical Learning | ||
| Free Electives (Choose 2) | 6 | |
| 6000-level or higher courses 1 | ||
| Total Credit Hours | 30 | |
Up to six (6) credits of 4000-level courses may be used towards the degree, subject to the approval of the ISyE Director of Master's Programs.
- 1
ISYE 6739 is not allowed to count toward Free Electives
Practicum Track Requirements
| Code | Title | Credit Hours |
|---|---|---|
| Core | ||
| ISYE 6201 | Manufacturing Systems | 3 |
| ISYE 6202 | Warehousing Systems | 3 |
| ISYE 6203 | Transportation and Supply Chain Systems | 3 |
| Breadth (Choose 3): | 9 | |
| Advanced Engineering Economy | ||
or ISYE 6227 | Introduction to Financial Engineering | |
| Statistical Modeling and Regression Analysis | ||
| Probabilistic Models and Their Applications | ||
| Deterministic Optimization | ||
| Technical Electives (Choose 2) | 6 | |
| Advanced Engineering Economy | ||
| Scheduling Theory | ||
| Public Impact Applications of Operations Research and Management Science | ||
| Time Series Analysis | ||
| Nonparametric Data Analysis | ||
| Statistical Methods for Manufacturing Design and Improvement | ||
| Design and Analysis of Experiments | ||
| Statistical Modeling and Regression Analysis | ||
| Computational Statistics | ||
| Introduction to Theory and Practice of Bayesian Statistics | ||
| Biostatistics | ||
| Simulation | ||
| Probabilistic Models and Their Applications | ||
| Linear Optimization | ||
| Discrete Optimization | ||
| Nonlinear Optimization | ||
| Stochastic Optimization | ||
| Deterministic Optimization | ||
| Computational Methods in Optimization | ||
| Energy Technology and Policy | ||
| Computational Data Analysis: Learning, Mining, and Computation | ||
| Stochastic Processes I | ||
| Stochastic Processes II | ||
| Reliability Engineering | ||
| Systems Monitoring and Prognostics | ||
| Simulation Theory and Methods | ||
| Data Mining and Statistical Learning | ||
| Free Electives (Choose 1) | 3 | |
| 6000-level or higher courses 1 | ||
| Internship Preparation Elective 2 | 3 | |
| Public Impact Applications of Operations Research and Management Science | ||
or ISYE 6644 | Simulation | |
| Energy Technology and Policy | ||
| Practicum | ||
| COOP/INTN/ISYE Practicum | ||
| Total Credit Hours | 30 | |
Up to six (6) credits of 4000-level courses may be used towards the degree, subject to approval of the ISyE Director of Master's Programs.
- 1
ISYE 6739 is not allowed to count as a Free Elective
- 2
ISYE Special Topics courses, as appropriate
BS/MS Option
The BSMS Option allows eligible students to double count a maximum of 6 credit hours toward undergraduate and graduate requirements while still completing all other program requirements to earn both degrees.
BS in Industrial Engineering students with a GPA of 3.5 or higher who have taken ISYE 3133 and ISYE 3232 are eligible to apply to utilize the BSMS Option. BSIE students must also graduate with a GPA of 3.5 or higher in order to utilize the BSMS Option.
It is typical for students to use 6 hours from the BSIE concentration electives to count as Core Courses or Technical Electives for the MSIE degree. Students will need to consult with an advisor to indicate which courses are sharing with the graduate degree in DegreeWorks.