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School of Engineering - Industrial Engineering Department

Bopaya Bidanda, PhD, Chair
Web site:http://ie.pitt.edu/graduate/

The Industrial Engineering Department offers graduate programs leading to both master's and doctoral degrees. The department provides several choices of concentration areas including:

  • Operations Research
  • Information Systems Engineering
  • Product Realization and Manufacturing Systems
  • Engineering Management
  • The master's program is flexible and students may choose to focus on one of the concentration areas or opt for a more broad-based curriculum with course work spanning all areas. Courses are designed so that students who have a basic foundation in engineering, computers, and basic sciences can develop the capability for more effective technical and management proficiency. All graduates of the program are prepared to assume responsible positions in industry, government, and service organizations; in addition, doctoral graduates are also qualified for academic or research careers.

    Admission Requirements

    Applications are encouraged from candidates who possess an undergraduate or graduate degree from an ABET-accredited program in any engineering discipline, or a degree in a complementary technical discipline, such as mathematics, physics, chemistry, computer science, or information science. An undergraduate knowledge of probability and statistics, calculus, differential equations, linear algebra, and proficiency in computer programming is required. Students who cannot demonstrate these skills upon matriculation will be placed in appropriate undergraduate courses in order to acquire this knowledge. These undergraduate courses do not count towards a graduate degree.

    All students should take the GRE, and foreign students also must take the TOEFL examination. It is desirable for PhD applicants to have an interview with a faculty member, although this is not a requirement for admission.

    Master of Science in Industrial Engineering

    The Master of Science in Industrial Engineering program requires either 30 credits of graduate study without the thesis option (Professional MS), or 24 credits of graduate study plus a six-credit thesis (Research MS).

    Non-thesis option: With this option, the student is required to take IE 2005 and at least two of the five courses in the basic core. The remainder of the student's program can be focused in a concentration area or broad-based in conjunction with the student's interests and the approval of the advisor. With the permission of the student's advisor, the student may also take two courses from other graduate offerings within the University.

    Thesis option:The thesis option also includes IE 2005 and at least two of the five courses in the core. In addition, the student must complete a six-to-eight credit thesis. With this option, all course work must come from departmental offerings and no out-of-department electives are permitted. The master's thesis must show marked attainment in one of the departmental concentration areas. Acquisition of the methods and techniques of scientific investigation must also be demonstrated. A faculty member knowledgeable in the student's area of interest must supervise the thesis.

    Concentration Areas: Students may choose to focus on a specific concentration area such as the four listed above. If a student opts to focus on a concentration area, the program must include (in addition to IE 2005) a minimum of five courses from the area. Appropriate core courses may be counted among these five courses.

    Normally the program can be completed in 12 months of full-time study or two to three years of part-time study. Many graduate courses are offered in the evening for the convenience of working professionals. Courses also are offered in the summer term.

    Students with undergraduate degrees from ABET-accredited Industrial Engineering Programs are encouraged to bypass any or all core courses in which they have a strong background and substitute more advanced elective courses.

    Doctoral Program in Industrial Engineering

    The doctoral program prepares the student for the rigorous demands of developing and implementing effective operational and management systems. The student is educated at the frontiers of knowledge in technical management, systems design, and decision-making concepts. This work requires a strong background in mathematics, probability theory, optimization techniques, systems management, and behavioral systems. The PhD student is expected to be a full-time student. Although it is possible to seek candidacy as a part-time student, the PhD candidate must spend at least one academic year full-time on campus. The graduate faculty typically works closely with individual doctoral students to create a more flexible program tailored to individual needs.

    Entrance to the PhD Program

    To be accepted for the doctoral program, a graduate student must have a superior graduate scholastic record and show promise for independent research. To be admitted to the doctoral program, a prospective doctoral student must have a cumulative quality point average of 3.30 or better in graduate course work. A graduate student who has completed the equivalent of a master's degree program, including all of the core courses, is eligible for entrance into the doctoral program. The student must seek faculty approval to take the PhD preliminary examination. This preliminary examination is given once a year and encompasses IE 2005, the five courses in the basic core, and an unstructured problem that the student is required to formulate and solve. The student must pass both the written and oral part of the examination. The examination allows the department to assess the student's academic preparation and creative ability to conduct doctoral-level research. All students must take the examination by January of the second year in which they are in residence, although it is acceptable to take the examination earlier.

    Doctoral Course and Dissertation Credit Requirements

    In addition to the basic core courses, the doctoral student will take any courses that may be required in preparation for the PhD comprehensive examination and the student's dissertation topic. These courses are selected in conjunction with a program approved by the student's advisor. According to University regulations, the PhD requires at least 72 credits beyond the bachelor's degree or 42 credits beyond the master's degree, including 18 credits for dissertation research. Course credits typically include the following:

    • IE 2005 3 credits
    • Core courses 15 credits
    • Additional course work 36 credits
    • Dissertation Credits 18 credits

    Additional Doctoral Requirements

    All full-time students must enroll in and attend IE 3095, the Graduate Seminar, and all full-time students in their second year of study are required to register for IE 2093, Graduate Journal Seminar. The credits for these courses do not count towards the 72-credit requirement.

    The comprehensive examination is taken by students after completing the course work in their concentration. The PhD comprehensive exam has a three-fold purpose: (1) test the student's proficiency (knowledge and skills) in his or her major area of interest; (2) identify deficiencies in the student's background and suggest remedial work; and (3) test the student's ability to prepare an acceptable dissertation in the student's area of concentration.

    All doctoral students are expected to pursue research by working with individual faculty in areas that can lead to a potential doctoral dissertation. A PhD candidate must demonstrate the ability to conduct research of an original nature by completing a dissertation and preparing a paper of publishable quality. The dissertation topic is selected by the student in some theoretical or applied area of interest in consultation with a faculty advisor. A faculty committee must approve the dissertation proposal before the student embarks on dissertation research.

    Graduate Industrial Engineering Courses

    Required
    IE 2005 Probability and Statistics for Engineers 3 cr.
    Basic Core
    IE 2001 Operations Research 3 cr.
    IE 2003 Systems Management 3 cr.
    IE 2004 Information Systems 3 cr.
    IE 2006 Introduction to Manufacturing Systems 3 cr.
    IE 2007 Statistics for Engineers II 3 cr.
    Elective Courses
    IE 2018 Engineering Tools for E-commerce 3 cr.
    IE 2025 Facility Layout and Material Handling 3 cr.
    IE 2030 Behavioral Systems Engineering 3 cr.
    IE 2032 Cases in Systems Management 3 cr.
    IE 2037 Cost Management for Advanced Manufacturing 3 cr.
    IE 2040 Advanced Engineering Economy 3 cr.
    IE 2051 Computer Aided Manufacturing 3 cr.
    IE 2054 Industrial Robotic Applications 3 cr.
    IE 2055 Automation in Manufacturing and Product Design 3 cr.
    IE 2057 Manufacturing Information Systems 3 cr.
    IE 2061 Ergonomics and Occupational Biomechanics 3 cr.
    IE 2073 Design of Experiments 3 cr.
    IE 2076 Total Quality Management 3 cr.
    IE 2081 Nonlinear Optimization 3 cr.
    IE 2082 Linear Optimization 3 cr.
    IE 2083 Production and Inventory Control 3 cr.
    IE 2084 Stochastic Processes 3 cr.
    IE 2086 Decision Models 3 cr.
    IE 2087 Simulation Modeling Using Siman/Cinema 3 cr.
    IE 2088 Digital Systems Simulation 3 cr.
    IE 2089 Rapid Prototyping and Reverse Engineering 3 cr.
    IE 2090 MS Project 3 cr.
    IE 2093 Graduate Journal Seminar 3 cr.
    IE 2997 Research, MS Var. cr.
    IE 2999 MS Thesis Var. cr.
    IE 3030 Advanced Topics in Engineering Management 3 cr.
    IE 3031 Project Management 3 cr.
    IE 3033 Neural Networks and Industrial Applications 3 cr.
    IE 3034 Management of Technological Innovation 3 cr.
    IE 3050 Advanced Topics in Manufacturing 3 cr.
    IE 3052 Computer Graphics and Machine Vision 3 cr.
    IE 3062 Advanced Ergonomics 3 cr.
    IE 3082 Mathematical Theory of Scheduling Models 3 cr.
    IE 3085 Queuing Theory 3 cr.
    IE 3086 Introduction to Integer and Dynamic Programming 3 cr.
    IE 3087 Network-Based Optimization 3 cr.
    IE 3091 Heuristic Optimization 3 cr.
    IE 3095 Graduate Seminar 3 cr.
    IE 3997 Research, PhD Var. cr.
    IE 3998 Independent Study Var. cr.
    IE 3999 Dissertation


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