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The Doctor of Philosophy degree in Industrial and Systems Engineering offers students five different concentration areas from which to choose, with both thesis and non-thesis options available. Major areas of study are industrial systems, operations research, manufacturing systems, management systems engineering and human factors and ergonomics.

If you have an engineering degree and are ready to learn more and have greater opportunities to advance in your workplace, an advanced degree in industrial and systems engineering can help. If you have a desire to teach in higher education, you will also find yourself well prepared by obtaining a postgraduate degree.

Tuition & Fees

Tuition per credit hour $558.50
Instructional Support Fee per credit hour $25.00

Tuition and fees listed are subject to change and do not include all possible charges. Additional fees may apply. Please refer to the master class schedule for individual course charges.

 

What are some potential careers?

 

Program Structure

ISE Graduate Guide

This program requires a preliminary exam, a dissertation, and an oral exam in defense of the dissertation.

Course Code Course Name Credit Hours
Industrial Engineering courses   30 hours
Courses in a discipline other than Industrial Engineering   6 hours
IE 6623 Engineering Statistics II (or equivalent) 3 hours
IE 6773 Systems Simulation I (or equivalent) 3 hours
Additional Graduate-level coursework   6 hours
Research   20 hours
Total Hours: 68

For additional information, please visit the Graduate Catalog.

Admissions Requirements

Students seeking full admission into this program should apply as a classified student. Non-degree seeking students wishing to take classes offered through the Online program should apply as an Unclassified student.

Applications for the degree programs are reviewed three times a year. The application deadlines for those semesters are as follows:

  • Fall Semester – June 1
  • Spring Semester – November 1
  • Summer Semester – May 1

An applicant for admission to graduate study must hold a bachelor's degree from a fully recognized four-year educational institution that has unconditional accreditation with appropriate regional accrediting agencies. They must meet the admission requirements of the Graduate School and the Industrial and Systems Engineering program.

Regular admission to graduate study in the program requires a minimum grade point average (last four semesters of undergraduate work) of 3.00/4.00. When a student is deficient in one of the criteria cited, the student's application, nevertheless, may be considered for admission based on the strength of other materials contained in the student's application.

The Graduate Record Examination (GRE) or Graduate Management Admission Test (GMAT) scores are NOT required for entry into this program.

Bagley College of Engineering programs may accept transfer work previously completed by the student. Transcript reviews to determine transfer or prerequisite work will be evaluated AFTER students are granted full admission. Once admitted an academic coordinator can review those transcripts for more information.

To meet admission requirements, submit a separate official final transcript from each college or university attended; faxed transcripts will not be accepted. An applicant may not ignore previous college attendance and must list all colleges attended on the application for admission. You must be in good standing at the last college or university attended


Attention International Students

International students are required to take the Test of English as a Foreign Language (TOEFL) and score greater than 550. Detailed information regarding international applications can be found in the Graduate Catalog. Questions regarding international applications can be addressed to the Office of the Graduate School at gradapps@grad.msstate.edu.

  • ETS is providing home testing for the TOEFL iBT test, and MSU is encouraging students to take advantage of this testing option. For those students applying who have taken the TOEFL within five years of the semester they plan to enroll and are unable to access the TOEFL iBT test from home, we will accept your previous test scores.

Admission Options

Domestic/International Classified Admissions

  1. Submit online application. You will choose Industrial and Systems Engineering as your Program of Study and Online Education as your campus.
  2. Statement of Purpose
  3. The TOEFL or IELTS scores are required for international students.
  4. Three letters of recommendation
    • You will be asked to submit three names and three email addresses of individuals you are using as references. Once you click submit, these individuals will be sent an email from MSU, which will provide a link to an online form for completing their recommendations.
  5. One official transcript showing bachelor’s degree or progress toward degree. (For international students, please submit a copy in native language along with translated copies, if appropriate.)
  6. One official transcript showing ALL work after bachelor’s degree. (For international students, please submit a copy in native language along with translated copies, if appropriate.)
    • Electronic transcripts should be sent to: gradapps@grad.msstate.edu Mississippi State University, Graduate School. Only one copy of an electronic transcript is required.
    • Paper Transcripts Address (USPS):
      Mississippi State University
      The Office of the Graduate School
      P.O. Box G
      Mississippi State, MS 39762
    • Physical Street Address (for DHL, Fed Ex, UPS, DHS, etc.):
      Mississippi State University
      The Office of the Graduate School
      175 President Circle
      116 Allen Hall
      Mississippi State, MS 39762
  7. Payment of $60 non-refundable application processing fee for domestic students.
    Payment of $80 non-refundable application processing fee for international students.
  8. Once you are admitted, you will receive an email with complete instructions on registering for classes and contacting your advisor

Courses

MA 1713 Calculus I
(Prerequisite: ACT Math subscore 26, or grade of C or better in 1323 or 1453) Three hours lecture. Analytic geometry; functions; limits; continuity; derivatives of algebraic functions; applications of the derivative. Honors section available.


MA 1723 Calculus II
(Prerequisite: Grade of C or better in MA 1713) Three hours lecture. Antidifferentiation; the definite integral; applications of the definite integral; differentiation and integration of transcendental functions. Honors section available.


MA 2733 Calculus III
(Prerequisite: Grade of C or better in MA 1723) Three hours lecture. Further methods of integration; polar coordinates; vectors; infinite series. Honors section available.


MA 2743 Calculus IV
(Prerequisite: Grade of C or better in MA 2733) Three hours lecture. Differential calculus of functions of several variables; multiple integration; vector calculus. Honors section available.


IE 3123 Industrial Ergonomics
(Undergraduate Students co-requisites: IE 4613 and IE 3121; Graduate Student co-requisite: IE 4613/6613) Three hours lecture. Analysis of work tasks; ergonomic design principles for manual work design, workplace design, and work environment design; work measurements; and design of wage payment plans.


IE 3913 Engr Economy I
(Prerequisite: MA 1713) Three hours lecture. Principles of evaluating alternative engineering proposals. Economic measures of effectiveness, costs and cost estimates, basic comparative models, break even and replacement analysis.


IE 4333 Prod Control Sys I
(Prerequisite: Grade of C or better in IE 4613) Three hours lecture. Principles, analysis, and design of production and inventory planning and control. Demand for forecasting, aggregated planning, inventory management, production scheduling and control systems.


IE 4613/6613 Eng Statistics I
(Prerequisite: MA 1723) Three hours lecture. Introduction to statistical analysis. Topics include: probability, probability distributions, data analysis, parameter estimation, statistical intervals, and statistical inferences.


IE 6513 Engineering Administration
(Prerequisite: Junior or graduate standing in engineering) Three hours lecture. Study of problems confronting the engineering manager. Includes: Organization and communication theory, internal and external relationships and responsibilities, and designing and implementing managerial systems.


IE 6533 Project Management
(Prerequisites: Grade of C or better in IE 4613) Three hours lecture. Use of CPM, PERT, and GERT for planning, managing and controlling projects. Computer procedures for complex networks.


IE 6553 Industrial Quality Control
(Prerequisite: Senior standing in engineering) Three hours lecture. The engineer and his relations to the law, to the public, and the ethics of his profession. Includes contracts, patents, copyrights, sales agreements, engineering specifications.


IE 6573 Process Improvement Engineering
Three hours lecture. Introduction to quality and productivity improvement methodologies and tools. The design and implementation of continuous improvement systems in organizations.


IE 6623 Engineering Statistics II
(Prerequisite: Grade of C or better in IE 4613) Three hours lecture. Continuation of IE 4613/6613. Introduction to engineering applications of regression, experimental design and analysis, and nonparametric methods.


IE 6733 Systems Simulation I
(Prerequisites: MA 3113) Three hours lecture. Theory and application of linear programming; simplex algorithm, revised simplex algorithm, duality and sensitivity analysis, transportation and assignment problems algorithms, integer and goal programming. (Same as MA 4733/6733).


IE 6773 Systems Simulation
(Prerequisite: Grade of C or better in IE 4934 or equivalent programming course, Co-requisite: IE 4623) Three hours lecture. The principles of simulating stochastic systems with an emphasis on the statistics of simulation and the use of discrete-event simulation languages.


IE 8000
Hours and credits to be arranged.


IE 8333 Production Control Systems II
(Prerequisites: IE 4333) Three hours lecture. Inventory systems, static and dynamic production planning, operations scheduling and forecasting systems.


IE 8353 Manufacturing Systems Modeling
(Prerequisites: IE 4733 and IE 4773) Three hours lecture. A study of models used to describe and analyze manufacturing systems. Development of models using queuing networks, mathematical programming, simulation, and other techniques.


IE 8583 Enterprise Systems Engineering
(Prerequisite: Consent of instructor) Three hours lecture. Focuses on the design and improvement of an enterprise through the use of engineering tools and methods, based on the systems perspective of industrial engineering.


IE 8913 Engineering Economy II
(Prerequisites: IE 3913 and IE 4613) Three hours lecture. Advanced principles and methods for engineering analysis of industrial problems. Topics include criteria for decisions, project investment and analysis, and elements of risk and uncertainty.

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Accessing Online Courses

Accessing Course Videos

Videos recorded during our on campus class sessions are uploaded for online students to view within our online course repository.  Online students will have access to course videos within 24 hours of the on campus course completion. Students should visit Engage to access the course videos. Instructions for viewing the recordings and downloading the recordings are offered below.


View and Download Videos

Instructions for viewing classes live or downloading videos, use our video download instructions.


If you experience technical difficulties or have any questions regarding the recording or format of our lecture capture, please contact:

IT Support & Staff
Bagley College of Engineering
Mississippi State University
dist-support@engr.msstate.edu
662.325.7794


Contact Information

Photo of Mindy Wolfe

Mindy Wolfe

Enrollment & Onboarding Coach

  • General Program Questions
  • Assistance with Admissions Process & Requirements
Photo of Anusha Rijal

Anusha Rijal

Retention & Engagement Coach

  • Current Student Inquires
  • Academic & Support Services Assistance
Dr. Mohammad Marufuzzaman

Dr. Mohammad Marufuzzaman

Industrial Engineering

  • Associate Professor and Graduate Coordinator
Headshot of Tamra Swann

Tamra Swann

Engineering

  • Distance Education Coordinator