grad-industrialsystemseng-ms

The Department of Industrial and Systems Engineering offers opportunities for graduate study leading to the master of science and the doctor of philosophy degrees in industrial and systems engineering.

The Department also offers three distinct master of science programs. The two named options programs, Human Factors and Systems Engineering M.S. and Systems Engineering and Analytics M.S., are accelerated programs that can be completed in one full year of study, and are designed for students wishing to pursue a career in industry or government. The traditional master of science program is designed for students wishing to conduct research during their program.

The department also offers a graduate/professional certificate in patient safety. This certificate is an interdisciplinary effort between the Department of Industrial and Systems Engineering, School of Nursing, School of Pharmacy, Department of Medical Physics, and Department of Population Health Sciences.

The UW–Madison graduate program in industrial and systems engineering offers students extraordinary opportunities to pursue a course of study that is customized to the student's interests and ambitions, under the auspices of the foremost experts in their field, in one of the top-ranked industrial and systems engineering departments. 

The flexible graduate curricula enables students to tailor their degree program to suit their particular needs and career objectives. Concentration areas in industrial and systems engineering includes: Decision Sciences and Operations Research, Health Systems Engineering, Human Factors and Ergonomics, Manufacturing, and Product Systems and Quality Engineering. Students also have opportunities to take graduate courses in any other departments at UW–Madison, which has a comprehensive set of top-ranked graduate and professional programs.

APPLICATION DEADLINES:

  • Fall 2018: January 1*

*Applications for this program are for a fall-semester start. Spring/summer applications are no longer accepted except for I SY E seniors.

  • Reentry applicants: July 15 (fall); December 1 (spring); must consult with I SY E faculty advisor prior to reapplying
  • Additional reentry information

APPLICATION REQUIREMENTS

Application deadlines are strictly enforced and ALL application materials including transcripts, GRE and TOFL scores MUST be included and submitted by the application deadline.

*Please note our office does not provide feedback to applications as to their potential for admission—please review both the I SY E department and Graduate School requirements for admission, and if you feel you
meet the necessary criteria for applying, please do so.

  1. Applicants must first meet all of the requirements of the Graduate School
  2. Applicants must also meet department specific requirements as outlined below:

Note: Depending on applicant background, applicants may be deficient in up to two prerequisite courses.

APPLICATION STEPS

  1. Fill out an online application through the Graduate School website and pay the application fee.
  2. List three recommenders and their contact information as part of the online application. An email will be sent to the recommender, asking that they submit their letter online using the Graduate School's recommendation form. Applicants can log back into their online application to re-send the email request if the recommender loses the email. Letters of recommendation must be submitted electronically.
  3.  Submit a Statement of Purpose with your online application.
  4. TOEFL Exam Information: Ask ETS to submit your GRE and/or TOEFL scores to the UW–Madison Graduate School (Institution Number 1846). If you have your scores sent to UW–Madison, they will be available online to all departments to which you have applied. The institution code, therefore, is the only number needed. For more information please visit the Graduate School Requirements page. Please note: Exam information must be valid at start date of the semester that you are applying for (nonexpired).
  5. GRE Exam Information: The IE graduate program does require the GRE exam be taken by prospective students as part of the application but note there are no specific scoring guidelines for the exam as the GRE is only one part of consideration for admission into the program. Please note: Exam information must be valid at start date of the semester that you are applying for (nonexpired).
  6. Electronically submit one copy of your official transcript with your application. Unofficial copies of transcripts will be accepted for review but official copies are required for admitted students.

►Submit only the documents requested.

NOTE: PLEASE DO NOT SEND DOCUMENTS TO THE GRADUATE SCHOOL. ALL DOCUMENTS SHOULD BE UPLOADED WITH YOUR APPLICATION.

Questions?

Check out the Admissions FAQ or contact us at iegradadmission@engr.wisc.edu.

Graduate School Admissions

Graduate admissions is a two-step process between academic degree programs and the Graduate School. Applicants must meet requirements of both the program(s) and the Graduate School. Once you have researched the graduate program(s) you are interested in, apply online.  

Graduate School Resources

Resources to help you afford graduate study might include assistantships, fellowships, traineeships, and financial aid. Further funding information is available from the Graduate School. Be sure to check with your program for individual policies and processes related to funding.

Program Resources

Financial Assistance

Please note that most funding is available for Ph.D. students and there is limited resources for M.S. students. International students must prove one year of funding before requesting assistance.

If you choose to attend UW–Madison and plan to pursue funding on your own, the following sites could be very helpful:

To Apply For Ta or grader position

Application Process:

Teaching assistant and grader positions are appointed each semester. New TAs must submit an application each semester in order to be considered. If you currently are a TA in Industrial and Systems Engineering, you do not need to complete an application each semester.

The number of positions is limited, and the application process is highly competitive. Priority is given to those with current positions who are in good standing and would like to continue teaching. Only after these positions are filled do we look at other applicants. The number of new positions available each semester is generally low, especially in the spring. While this should not deter you from applying, please keep it in mind when planning for the semester.

The department will consider graduate students from other departments only when there are no qualified applicants from the Department of Industrial and Systems Engineering.

Expected timing for appointments:

Appointments for teaching assistants are generally made in August for the fall semester and in early December for the spring semester. Grader appointments are appointed along a similar timeline, but often a few weeks later.

Once hired:

Students hired into a TA position are required to attend the New Educator Orientation (NAO) training in late August. For more details, please see this websie.

Speaking requirements for international students:

All international students applying for teaching assistant positions must meet the UW–Madison Graduate School’s requirement for spoken English BEFORE they can be considered as a TA. This requirement can be fulfilled in two ways:

  1. Pass the SPEAK—you can register for the SPEAK test through Aaron Webster in Room 3180 ME, aaron.webster@wisc.edu.
  2. Receive a 26 or higher on the speaking portion of the TOEFL test (or equivalent). Provide a copy of your score to Aaron Webster in Room 3180 ME, aaron.webster@wisc.edu

Minimum Graduate School Requirements

Review the Graduate School minimum academic progress and degree requirements, in addition to the program requirements listed below.

Major Requirements

MODE OF INSTRUCTION

Face to Face Evening/Weekend Online Hybrid Accelerated
Yes No No No No

Mode of Instruction Definitions

CURRICULAR REQUIREMENTS

Minimum Credit Requirement 30 credits
Minimum Residence Credit Requirement 16 credits
Minimum Graduate Coursework Requirement Half of degree coursework (15 credits out of 30 total credits) must be completed graduate-level coursework; courses with the Graduate Level Coursework attribute are identified and searchable in the university's Course Guide (https://registrar.wisc.edu/course-guide/).
Overall Graduate GPA Requirement 3.00 GPA required.
Other Grade Requirements Grades of C and D received by a candidate in any graduate course will not be counted as credit toward the degree. These grades will be counted in the graduate GPA.
Assessments and Examinations None.
Language Requirements No language requirements.

Required COURSES 

Students choose one of the below research areas. The program recommends working with your faculty advisors to answer any questions and to form a plan of study.

Research Area Brochures: 

Decision Science/Operations Research Area1

I SY E 412 Fundamentals of Industrial Data Analytics3
I SY E 415 Introduction to Manufacturing Systems, Design and Analysis3
I SY E/​COMP SCI/​MATH  425 Introduction to Combinatorial Optimization3
I SY E/​M E  512 Inspection, Quality Control and Reliability3
I SY E/​M E  513 Analysis of Capital Investments3
I SY E 515 Engineering Management of Continuous Process Improvement3
I SY E 516 Introduction to Decision Analysis3
I SY E 517 Decision Making in Health Care3
I SY E/​COMP SCI/​E C E  524 Introduction to Optimization3
I SY E/​COMP SCI/​MATH/​STAT  525 Linear Programming Methods3
I SY E 575 Introduction to Quality Engineering3
I SY E 612 Information Sensing and Analysis for Manufacturing Processes3
I SY E 620 Simulation Modeling and Analysis3
I SY E 624 Stochastic Modeling Techniques3
I SY E/​MATH/​OTM/​STAT  632 Introduction to Stochastic Processes3
I SY E/​MATH/​OTM  633 Queuing Theory and Stochastic Modeling3
I SY E/​M E  641 Design and Analysis of Manufacturing Systems3
I SY E/​M E  643 Performance Analysis of Manufacturing Systems3
I SY E 645 Engineering Models for Supply Chains3
I SY E/​INFO SYS/​OTM  671 E-Business: Technologies, Strategies and Applications3
I SY E/​COMP SCI  719 Stochastic Programming3
I SY E/​COMP SCI  723 Dynamic Programming and Associated Topics3
I SY E/​COMP SCI/​MATH/​STAT  726 Nonlinear Optimization I3
I SY E/​COMP SCI  727 Convex Analysis3
I SY E/​COMP SCI/​MATH  728 Integer Optimization3
I SY E/​COMP SCI/​MATH  730 Nonlinear Optimization II3
STAT/​M E  424 Statistical Experimental Design3

Health Systems Engineering Research Area1

I SY E/​M E  513 Analysis of Capital Investments3
I SY E 515 Engineering Management of Continuous Process Improvement3
I SY E 516 Introduction to Decision Analysis3
I SY E 517 Decision Making in Health Care3
I SY E 555 Human Performance and Accident Causation 23
I SY E/​MED PHYS  559 Patient Safety and Error Reduction in Healthcare2
I SY E 575 Introduction to Quality Engineering3
I SY E 601 Special Topics in Industrial Engineering (Topics vary by semester)1-3
I SY E/​PHARMACY  608 Safety and Quality in the Medication Use System3
I SY E 615 Production Systems Control3
I SY E/​B M I  617 Health Information Systems3
I SY E 620 Simulation Modeling and Analysis3
I SY E 624 Stochastic Modeling Techniques3
I SY E/​MATH/​OTM  633 Queuing Theory and Stochastic Modeling3
I SY E/​M E  643 Performance Analysis of Manufacturing Systems3
I SY E/​PSYCH  652 Sociotechnical Systems3
I SY E/​PSYCH  653 Organization and Job Design3
I SY E/​B M E  662 Design and Human Disability and Aging3
I SY E/​INFO SYS/​OTM  671 E-Business: Technologies, Strategies and Applications3
I SY E/​POP HLTH  703 Quality of Health Care: Evaluation and Assurance1-3
I SY E/​COMP SCI  723 Dynamic Programming and Associated Topics3
I SY E/​M H R  729 Behavioral Analysis of Management Decision Making3
I SY E 816 Special Topics in Systems Design1-3
I SY E/​PSYCH  854 Special Topics in Organization Design1-3
ED PSYCH 711 Current Topics in Educational Psychology1-3
ED PSYCH 862 Multivariate Analysis3
PSYCH 610 Statistical Analysis of Psychological Experiments3
PSYCH 710 Design and Analysis of Psychological Experiments3
STAT 333 Applied Regression Analysis3
STAT/​M E  424 Statistical Experimental Design3
STAT/​F&W ECOL/​HORT  571 Statistical Methods for Bioscience I4
STAT/​B M I  641 Statistical Methods for Clinical Trials3
STAT 701 Applied Time Series Analysis, Forecasting and Control I3
NURSING 761 Health Program Planning, Evaluation, and Quality Improvement3
POP HLTH/​SOC  797 Introduction to Epidemiology3
POP HLTH/​I SY E  875 Cost Effectiveness Analysis in Health and Healthcare3
POP HLTH 876 Measuring Health Outcomes3
OTM 753 Healthcare Operations Management3
B M I/​COMP SCI  576 Introduction to Bioinformatics3
B M I 773 Clinical Research Informatics3
B M I/​COMP SCI  776 Advanced Bioinformatics3

Human Factors and Ergonomics Research Area1

I SY E/​PSYCH  549 Human Factors Engineering3
I SY E 552 Human Factors Engineering Design and Evaluation3
I SY E 555 Human Performance and Accident Causation3
I SY E 556 Occupational Safety and Health Engineering3
I SY E/​MED PHYS  559 Patient Safety and Error Reduction in Healthcare2
I SY E/​B M E  564 Occupational Ergonomics and Biomechanics3
I SY E 610 Design of Program Evaluation Systems3
I SY E/​PSYCH  652 Sociotechnical Systems3
I SY E/​PSYCH  653 Organization and Job Design3
I SY E/​B M E  662 Design and Human Disability and Aging3
I SY E 699 Advanced Independent Study1-5
I SY E/​PSYCH  854 Special Topics in Organization Design1-3
I SY E/​PSYCH  859 Special Topics in Human Factors Engineering1-3
I SY E 961 Graduate Seminar in Industrial Engineering1-3
CIV ENGR 679 Special Topics in Transportation and City Planning3

Various courses count as "Tools and Methods." The HFE faculty group updates the list of "Tools and Methods" courses and advisors decide which set of courses are appropriate for each student. The following are categories of "Tools and Methods": Research Methods, Statistics, Qualitative Research, Biomechanics Methods, and Psychology. Students can work with their faculty advisor for non-I SY E course work.

Manufacturing and Production Systems Research Area1

I SY E 415 Introduction to Manufacturing Systems, Design and Analysis3
I SY E/​COMP SCI/​MATH  425 Introduction to Combinatorial Optimization3
I SY E/​M E  510 Facilities Planning3
I SY E/​M E  512 Inspection, Quality Control and Reliability3
I SY E 515 Engineering Management of Continuous Process Improvement3
I SY E 516 Introduction to Decision Analysis3
I SY E/​COMP SCI/​E C E  524 Introduction to Optimization3
I SY E/​COMP SCI/​MATH/​STAT  525 Linear Programming Methods3
I SY E 575 Introduction to Quality Engineering3
I SY E 605 Computer Integrated Manufacturing3
I SY E 612 Information Sensing and Analysis for Manufacturing Processes3
I SY E 615 Production Systems Control3
I SY E 620 Simulation Modeling and Analysis3
I SY E 624 Stochastic Modeling Techniques3
I SY E/​MATH/​OTM/​STAT  632 Introduction to Stochastic Processes3
I SY E/​M E  641 Design and Analysis of Manufacturing Systems3
I SY E/​M E  643 Performance Analysis of Manufacturing Systems3
I SY E 645 Engineering Models for Supply Chains3
I SY E/​INFO SYS/​OTM  671 E-Business: Technologies, Strategies and Applications3
STAT/​M E  424 Statistical Experimental Design3

Quality Engineering Research Area1

I SY E 412 Fundamentals of Industrial Data Analytics3
I SY E 417 Health Systems Engineering3
I SY E/​M E  512 Inspection, Quality Control and Reliability3
I SY E/​M E  513 Analysis of Capital Investments3
I SY E 515 Engineering Management of Continuous Process Improvement3
I SY E 520 Quality Assurance Systems3
I SY E 575 Introduction to Quality Engineering3
I SY E 601 Special Topics in Industrial Engineering1-3
I SY E 610 Design of Program Evaluation Systems3
I SY E 612 Information Sensing and Analysis for Manufacturing Processes3
I SY E 620 Simulation Modeling and Analysis3
I SY E/​M E  641 Design and Analysis of Manufacturing Systems3
I SY E/​PSYCH  652 Sociotechnical Systems3
I SY E/​PSYCH  653 Organization and Job Design3
I SY E/​PSYCH  854 Special Topics in Organization Design1-3
M H R 700 Organizational Behavior3
OTM 758 Managing Technological and Organizational Change3
OTM 770 Sustainable Approaches to System Improvement4
STAT 333 Applied Regression Analysis3
STAT 349 Introduction to Time Series3
STAT 411 An Introduction to Sample Survey Theory and Methods3
STAT 421 Applied Categorical Data Analysis3
STAT 701 Applied Time Series Analysis, Forecasting and Control I3
STAT/​MATH  803 Experimental Design I3
STAT 849 Theory and Application of Regression and Analysis of Variance I3
ED PSYCH 862 Multivariate Analysis3

Named Options (Sub-Majors)

A named option is a formally documented sub-major within an academic major program. Named options appear on the transcript with degree conferral.

Graduate School Policies

The Graduate School’s Academic Policies and Procedures provide essential information regarding general university policies. Program authority to set degree policies beyond the minimum required by the Graduate School lies with the degree program faculty. Policies set by the academic degree program can be found below.

Major-Specific Policies

Graduate Program Handbook

The Graduate Program Handbook is the repository for all of the program's policies and requirements.

Prior Coursework

Graduate Work from Other Institutions

Not allowed for graduate residence credit requirement but allowed for graduate degree credit requirement and graduate coursework (50%) requirement. Coursework earned five or more years prior to admission to a master’s degree is not allowed to satisfy requirements.

UW–Madison Undergraduate

Not allowed for graduate residence credit requirement for master's thesis option or the Ph.D. track but allowed up to 6 credits numbered 300 level or above toward the graduate degree credit requirement for master's course option tracks but not toward the 50% graduate coursework except for 700 level or above courses. Coursework earned five or more years prior to admission to a master’s degree is not allowed to satisfy requirements.

UW–Madison University Special

Allowed up to 15 credits numbered 300 or above toward graduate residence credit requirement and graduate degree credit requirement. If the courses were numbered 700 or above they may count toward the minimum graduate coursework (50%) requirement. Coursework earned five or more years prior to admission to a master’s degree is not allowed to satisfy requirements.

Probation

The Graduate School regularly reviews the record of any student who earned grades of BC, C, D, F, or Incomplete in a graduate course (300 or above), or grade of U in research credits. This review could result in academic probation with a hold on future enrollment or in being suspended from the Graduate School.

ADVISOR / COMMITTEE

Per Graduate School policy, every graduate student MUST have a faculty advisor. A faculty advisor provides the graduate student with academic guidance regarding their course selection and research oversight in their thesis or project. Graduate students should always seek advice from their advisor and other faculty in their interest area prior to enrolling for courses.

When graduate students are admitted to the I Sy E department, their advisor is either a) the faculty person providing financial support, b) the faculty who recommended their admission or c) a faculty is assigned to them by the student services coordinator. Advisors are assigned according to a student's chosen Focus Area.

A committee often accomplishes advising for the students in the early stages of their studies.

CREDITS PER TERM ALLOWED

15 credits

Time Constraints

Master’s degree students who have been absent for five or more consecutive years lose all credits that they have earned before their absence. Individual programs may count the coursework students completed prior to their absence for meeting program requirements; that coursework may not count toward Graduate School credit requirements.

Other

n/a

Graduate School Resources

Take advantage of the Graduate School's professional development resources to build skills, thrive academically, and launch your career. 

Program Resources

THE INDIVIDUAL DEVELOPMENT PLAN

An Individual Development Plan helps with self-assessment, planning, and communication:

  • An IDP can help you communicate your professional development and career planning needs and intentions to others including your mentor, which can lead to helpful advice and resources.
  • You can use the IDP to make sure you and your mentor’s expectations are clearly outlined and in agreement so that there are no big surprises, particularly at the end of your training.
  • The current job market is challenging and research has shown that individuals who perform structured career planning achieve greater career success and satisfaction.

The onus to engage in the IDP process is on you – although your mentor, PI, or others may encourage and support you in doing so. The IDP itself remains private to you, and you choose which parts to share with which mentors. Through the IDP process, you may decide to identify various mentors to whom you can go for expertise and advice. 

ENGINEERING CAREER SERVICES  

Julie Rae, Assistant Director for Graduate Student Career Services

GRADUATE students in all Engineering programs

Employer Recruitment List for Industrial Engineering Students:  https://ecs.wiscweb.wisc.edu/wp-content/uploads/sites/86/2017/03/IE-Employer-Recruitment-List.pdf

UW WRITING CENTER

Location: 6171 Helen C. White Hall

Tel: (608) 263-1992

The UW Writing Center provides free of charge face-to-face and online consultations that focus on a number of different writing scenarios (i.e. drafts of course papers, resumes, reports, application essays, cover letters, theses, etc). Writing Center instructors will not edit or proofread papers. Instead, their goal is to teach students to edit and proofread on their own in order to become a better, more confident writer.

1. Articulates, critiques, or elaborates the theories, research methods, and approaches to inquiry or schools of practice in industrial and systems engineering including areas such as decision science and operations research, quality engineering, manufacturing and health systems, and/or human factors.

2. Identifies sources and assembles evidence pertaining to questions or challenges in industrial and systems engineering.

3. Demonstrates understanding of the industrial and systems engineering field of study in a historical, social, or global context.

4. Selects and/or utilizes the most appropriate industrial and systems engineering methodologies and practices.

5. Evaluates or synthesizes information pertaining to questions or challenges in industrial and systems engineering.

6. Communicates clearly in ways appropriate to industrial and systems engineering.

7. Recognizes and applies principles of ethical and professional conduct.