Industrial Engineering, M.S. | NYU Tandon School of Engineering

Industrial Engineering, M.S.

Technology Management and Innovation
Master of Science
On Campus
Industry skyline scene

 

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The M.S. in Industrial Engineering (IE) program is a top U.S. News and World Report ranked program focused on preparing students to assume organizational leadership roles after they graduate. 

We provide a strong academic foundation and combine it with an emphasis on real-world application. Our courses are taught by professors with significant industry experience. Courses are project based and highly practical, focused on helping students apply principles learned in class to professional situations faced when helping organizations grow and improve. 

Program highlights include:

  • Top ranked program that continues to climb
  • Strong foundational academic core taught by highly experienced professors
  • Emphasis on experiential learning which culminates with a Capstone program where students apply skills and concepts learned in the classroom on a company-sponsored project
  • Program flexibility that offers elective choice from across the TMI Department, Tandon and University
  • Robust networking and career support - Professionally affiliated student clubs with INFORMs and IISE, LinkedIn group, IE Alumni Advisory board, career development and certification workshops
  • Located in the heart of the Brooklyn Tech Triangle and a subway ride to Manhattan, IE is close to many companies across diverse industries allowing for outstanding internship and job opportunities

Curriculum

The IE Program comprises 12 courses (see listing below) totaling 30 credits. Courses for the IE program are held at the Brooklyn campus of NYU Tandon.

Industrial engineers determine the most effective ways to design, manage and improve systems —people, machines, materials, information, and energy—to make a product or provide a service. 

In this regard, the IE program’s curriculum provides participants with a deep understanding of the foundational elements of industrial engineering. 

Industrial Engineers play a key role in driving change. Skills developed in areas like change management, organizational transformation and systems optimization are increasingly valuable, making industrial engineers highly sought after throughout a wide range of industries.

Industrial engineers work in consulting firms, financial services, health care, government, transportation, construction, social services, operations, and supply chain management.

Elective courses, organized by concentration and offered both within the program and throughout the University, provide students with the flexibility to create an individualized curriculum.

Concentrations are suggested specializations and reflect the recent directional advances in the field. Students may also elect to create a unique curriculum plan that includes courses selected throughout the prescribed areas of concentration.

Areas of Concentration include:

  • Business Transformation and Continuous Improvement - for students interested in helping organizations understand where to focus, build and implement the capability to transform. This is of primary interest to students considering careers in consulting.
  • Operations and Supply Chain Management - for students interested in building agile, dynamic teams capable of partnering across the enterprise to continuously define and deliver customer-centric value. This is of primary interest to students considering careers in management.
  • Operations Research and Systems Analytics - for students interested in working with organizational leaders and cross-enterprise teams to frame the discussion on how to best use data to drive the conversation on where to focus improvement efforts. This is of primary interest to students considering data science and operations analysis.

These are suggested areas of concentration only. We work with students to select courses from across our department and the University to create opportunities that align with and provide support for students' career ambitions.

3 Credits Quality Control and Improvement IE-GY 6113
This course provides students with a solid foundation in the cost of quality, quality assurance and quality management. Emphasis is on the basic tools of quality control such as control charts and their use, the concept of “out of control,” acceptance sampling, variables and attributes charts and producer’s and consumer’s risk. A unique aspect of this course is the demonstration of the power of teams of people with different expertise to improve quality. A course project is required.
Prerequisite: MA-GY 6513 or familiarity with the concepts of probability and statistics. Also listed under MN-GY 6113.
3 Credits Facility Planning and Design IE-GY 6213
Topics in this course include facilities design for global competitiveness, strategic master-site planning, site selection, factory layout and design, facility-management systems and materials handling and storage planning. Also presented are guidance on selecting alternative facility plans and application of queuing methods and computer modeling for facility design and evaluation.
3 Credits Factory Simulation IE-GY 6823
This course examines modeling and simulation of complex industrial, commercial and service systems, such as factories and hospitals. Students develop, run and test several simulation models using different software packages.
Prerequisite: Computer literacy.
3 Credits Production Science MN-GY 7893
This course reviews just-in-time and synchronous manufacturing methods. It analyzes the basic dynamics of factories to understand the importance of congestion and bottleneck rates on cycle time and inventories. Analytical models are developed to study variability and randomness introduced by breakdown, setups and batching. Simulation studies are used to provide data on performance of transfer lines.
3 Credits Operations Research: Stochastic Models IE-GY 6283

IE-GY 6003 Please refer to the bulletin for more information
3 Credits Work Design and Measurement IE-GY 6063
Principles and techniques of designing work methods and work simplification programs. Theory and techniques of workplace design, work measurement, time study, work sampling, standard data systems, methods analysis, rating, and work allowances. Applications of ergonomics and anthropometrics to promote worker health and safety in lean manufacturing environments.
IE-GY 7653 Please refer to the bulletin for more information
3 Credits Lean Manufacturing IE-GY 7873
This course provides an overview to the basic principles, and theories of lean manufacturing which involves identifying and eliminating non-value-adding activities in design, production, and supply chain management. Students will learn an integrated approach to efficient manufacturing with emphasis on synchronized product, quick changeover, cell design, visual factory, value stream, one-piece flow and learn metrics.
IE-GY 7923 Please refer to the bulletin for more information
3 Credits Supply Chain Engineering IE-GY 7993
Students in this course gain an understanding of how companies plan, source, make and deliver their products with a global competitive advantage. The course stresses the engineering components in developing an integrated supply chain that covers the entire manufacturing enterprise. It looks at the supply-chain infrastructure and the velocities of different models. The focus is on understanding and detecting the constraints of the infrastructure and the lowest common denominator of the information system used. Students also gain an understanding of logistical networks and the optimizing of the various traffic and location alternatives. Synchronization of supply and demand is examined in detail, looking at variability in both processes with the objective of maximizing throughput and capacity, emphasizing partnering, e-commerce and the bullwhip effect. Finally, the course establishes global performance measurements that compare companies in different industries.
3 Credits Management Science MG-GY 6103
This course introduces major concepts and methods associated with Management Science, which deals with the application of quantitative modeling and analysis to management problems. Students learn to employ important analytical tools, to determine the assumptions used, and to recognize the limitations of such methods. The course discusses methods of linear and nonlinear programming, queuing, decision analysis, simulations and game theory. The course also introduces modeling with spreadsheets.
Prerequisite: Graduate Standing
3 Credits Human Capital Engineering & Analytics MG-GY 6343
This course examines and applies the valuation and management of intangible assets in designing and managing post-industrial organizations. As organizations increasingly rely on technology to produce value, these technological solutions require interactions with other forms of value creation like Human Capital Management, Intellectual Property development and Organization Culture. The first part of the course focuses on human capital engineering using an interdisciplinary approach, drawing on diverse fields including industrial-organizational psychology, industrial engineering, economics and artificial intelligence to create a holistic view of how work in its various forms creates value. The second part of the course addresses workforce analytics, providing the student with a knowledge and understanding of current best practices, issues, and decision points in building an effective human capital analytic program. This part of the course will also focus on data structure and design to enable automation and predictive modeling and will place an emphasis on technology-enabled reporting.
3 Credits Business Analytics MG-GY 8413
Business analytics is a set of data analysis and modeling techniques for understanding business situations and improving business decisions. This course introduces business analytics concepts, methods and tools with concrete examples from industry applications. In the first part of the course, we will focus on descriptive analytics and exploratory data analysis concepts with a refresher on basic probability and statistics. In the second part, we will cover principles, techniques, and techniques for spatial data, time series, and text as data. The final part of the course will introduce a project that links business impact and modern data analytics techniques for managerial decision making in functional areas, including finance, marketing, and operations.
Prerequisites: (MG-GY 6193 or MG-GY 9753) and MG-GY 8401 and Graduate Standing
3 Credits New Product Development MG-GY 8643
The dynamics of technology and the pressures of competition drive enterprises to make their product development and production processes strategically more effective and economically more efficient in time and cost. The course deals with the state of the art in new product activities for services and manufacturing firms and examines in-depth the marketing, technology and manufacturing technology linkages.
Prerequisite: Graduate Standing
MG-GY 8653 Please refer to the bulletin for more information
3 Credits Selected Topics in Management MG-GY 9753
Students analyze and discuss current topics in various fields.
Prerequisites: Graduate standing and Department’s Chair’s permission.

 

 

Students can also elect to take an additional three courses/nine credits outside of the IE electives with approval from their academic advisor.

  • IE-GY 9993 Industrial Engineering Project Capstone Course  - 3 Credits

Students are required to take the Industrial Engineering Project Capstone Course. This course serves as the experiential capstone in the graduate Industrial Engineering curriculum. Students will apply their classroom knowledge to a company-sponsored project (e.g., manufacturing floor, healthcare, logistics distribution facilities, etc.)

 

Admission Requirements

Industrial Engineering Students come from a wide variety of backgrounds and an engineering degree is not required to join our program. 

The general requirements for the degree Master of Science are stated in this catalog under “Graduate Degrees”. Detailed requirements for this degree are shown below.

Admission to the Master of Science program requires a bachelor’s degree in a related discipline from an accredited institution. Applicants should have a superior undergraduate academic record. 

Students who do not meet these requirements are considered individually for admission and may be admitted subject to their completion of courses to remove deficiencies. 

Students are encouraged to seek waivers (and have approved substitutes designated) for all required courses in which they can demonstrate competence, thereby using their time effectively.