Cheapest Online Masters in Industrial Engineering

A Master of Science in Industrial Engineering will prepare you with expertise in engineering and business, enabling you to work in fields ranging from healthcare and retail to manufacturing and technology. This degree helps students approach problems with business acumen and technical skills, providing them with a multi dimensional view of the task at hand.

Industrial Engineers complete their programs well versed in the theories and practical application of lean manufacturing, target costing, and design for manufacturability. Our program establishes a strong foundation in the ability to create engineering processes and systems that improve quality and productivity while eliminating the waste of labor, time, and resources.

Industrial engineers are key professionals who explore how industrial systems work and spearhead effective and ef?cient delivery of quality products and services. In this Master’s program in Industrial Engineering, you learn to exploit analytic modeling, system simulation, queuing systems, work design, project planning, facilities design and quality management and control, practices that are fast becoming essential in global industry.

Ranked #13 in Best Graduate Engineering Programs by U.S. News and World Report.

In order to be eligible to for any of our Master’s programs, you must meet the following criteri .

You must hold a Bachelor Degree from an accredited institution, which includes a minimum of four years of full-time study. Bachelor of Engineering degrees (based on 180 ECTS credits) may also be considered. Attention will be given to the programs accredited by ABET and programs accredited approved by other various regional accrediting associations.

The program requires knowledge of engineering economics and probability and statistics. If you don’t have the relevant knowledge in these fields, you may satisfy the requirement by taking prerequisite courses such as probability and statistics (Course number: MA-GY 6513 or equivalent) offered at NYU Tandon.

If you have to take multiple prerequisite courses, please note that up to 3 credits of graduate courses in this category of prerequisite knowledge can be counted toward the degree as electives, although the electives needed for the student’s concentration also must be satisfied.

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.

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.

These 9 Credits are recognized as Industrial Engineering electives which include Industrial Engineering and Manufacturing Engineering designated courses and a selected group of Management courses.

This is a survey course in basic and advanced manufacturing planning and control systems, covering short-term forecasting systems, master production scheduling, material requirements planning, inventory management, capacity management, production activity control and just-in-time.

In this course, students understand that the physical design and manufacturability of modern electronics systems results from tradeoffs involving partitioning, electrical performance, cooling and mechanical stresses. Design parameters are derived to study the tradeoffs, along with specific examples from reverse-engineering studies. The current status and future directions of lowcost, high-volume manufacturing technologies are examined.

This course focuses on developing a deeper understanding of the role that operations management plays in determining business strategy and in developing competitive advantage. The primary emphasis is on develop and effectively manage operations in knowledge-intensive enterprises. Participants discuss the operational design and managerial implications when the emphasis of the operations group is on knowledge management than on production and facilities management managing the effective integration of technology, people and operating systems understanding the complexities and challenges of operations management the challenges of developing and managing chain networks and the critical role of technology in developing operational capabilities in an organization. Prerequisite: Graduate Standing.

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.

The course focuses on effectively managing technological change and innovation, which is accomplished with a dual perspective. One perspective is based on individual, group and organizational theory, research and practice. This body of literature, viewpoints and experience provide essential guides to manage successfully the introduction of newtechnologies. Realizing the full potential of new technologies requires effectively managing change to assure the commitment of all stakeholders. The second perspective is based on innovation theory, research and practice. This body of literature, viewpoints and experience provide key insights to for effectively managing the process of innovation and the impact of innovation on all parts of an enterprise. Specifically, the course explores a firm’s explicit need to manage and inspire people so they can communicate and innovate effectively. Prerequisite: Adviser’s approval and graduate standing.

Milton Stewart School of Industrial and Systems Engineering offers the Master of Science in Industrial Engineering.

Personal Statements. Describe your specific career goals and objectives, the decision to pursue an advanced degree, and other information that may be useful to the admissions committee.

Please set aside sufficient time — usually two to three weeks — for Graduate Studies to receive and process your supporting documents. We cannot guarantee applications received after the deadline will be reviewed in time for the applied semester.

All applicants to the program must hold a U.S. bachelor degree or equivalent to be considered for admission. A three-year degree is not equivalent to the U.S. bachelor degree. Neither professional designations nor work experience will count toward the fourth year of study. We're unable to make exceptions to this policy.

The Georgia Tech Graduate Studies Office does not accept any private evaluation of academic documents. Official transcripts and degree documents must be submitted at the time of application and the Georgia Tech Graduate Studies Office will evaluate them.

The Georgia Tech Graduate Studies Office requires the following documents from international applicants:.

Official English translation of the native language degree document.

All courses will be three-credit hours. Fees are assessed only for the terms in which students are enrolled in courses. As an master degree student, you may incur additional costs for proctored exams or quizzes. If unable to find a qualified individual to serve as a proctor for exams or quizzes, you may need to arrange for this service at a Education Testing Service. In most cases, this will result in an additional cost to you. Costs vary based on region, services required, and length of time required for the exam. Universities and community colleges are usually willing to administer proctored exams for little to no fees. We strongly suggest checking with these institutions prior to contacting a local for-profit testing center.

Education Loans U.S. citizens and permanent residents may be eligible for education loans.

Trending: The Hottest Master’s Degrees of 2017 image.

Trending: The Hottest Master’s Degrees of 2017.

A roundup of 10 Georgia Tech degrees to give you a leg up in the workforce.

The Georgia Institute of Technology is accredited by the Southern Association of Colleges and Schools Commission on Colleges (SACSCOC) to award baccalaureate, masters, and doctoral degrees.

Purdue is Ranked #1 in Best Online Masters' in Industrial Engineering.

The online graduate industrial engineering program at Purdue University is ranked #1 among online industrial engineering master programs by U.S. News World Report, and Purdue online graduate engineering program is consistently ranked among the top three in Best Online Master in Engineering Programs by U.S. News World Report (2023). The online master program features flexible plans of study with a format that allows you to study where you are.

The 30-credit curriculum is carefully designed and provides you the choice between two programs. You can decide to earn a Master of Science in Industrial Engineering (MSIE) or an Interdisciplinary Master of Science in Engineering (MSE MS) with a concentration in Industrial Engineering. The Interdisciplinary Engineering (MSE MS) with a concentration in Industrial Engineering, offers both thesis and non-thesis degree options. A thesis-based MSIE is not available online it must be applied directly to the School of Industrial Engineering as an on-campus student.

The IE Master Program offers a wide range of flexibility in course options. Every POS varies based on student interest, time, and course load. For planning purposes, an example POS for the Industrial Engineering and Interdisciplinary Engineering are available, as well as an extensive course menu that lists classes available over the next several years.

The flexible nature of our programs makes it possible for you to take time off from your studies if you need to. The majority of students choose to begin their studies by taking one course at a time to ensure they find a successful balance of work, life, and school.

For engineers considering additional training in industrial engineering coursework and certification, it helps to examine the job outlook for that specific discipline. According to the Bureau of Labor Statistics, the need for industrial engineers will increase 8% between now and 2028.

Application details for each of our degree options differ.

Have a complete collection of information on Industrial Engineering sent straight to your inbox.

Tuition is charged at a flat rate per course, which varies depending on whether you're a resident of Indiana. Your expected cost of attendance for Purdue Online College of Engineering will also include certain non-refundable fees.

Course tuition includes the Engineering Differential General Service, University Technology, and University Repair and Rehabilitation fees. The Technology and Repair and Rehabilitation fees are non-refundable unless a student withdraws from the course with a 100% refund.

Project courses are by special arrangement only.

M.S. in Industrial Engineering.

The Master of Engineering Management Program will consist of 30 credits (8 courses of 3 credits each in Industrial and Systems Engineering, one course of 3 credits in the Business Technology Department, and one course in the Management Department totaling 3 credits) which teach core Industrial and Systems Engineering concepts applied to management. The program is designed to be completed in 4 semesters, including one summer. Therefore, a student can start during the spring semester, continue during the summer, fall, and finish the next spring. Thus, the total duration is one year plus one semester.

As part of the program, students will take ISE-671 Engineering Entrepreneurship which includes a comprehensive group design project. Students must create a product or service and develop a full business plan for its commercialization including strategic choices for customer, technology, competition and identity, as well as financial projections.

A bachelor degree with a minimum 3.0 GPA from a regionally accredited university is acceptable.

Students without a STEM background may be required to take additional credits as prerequisites to the program requirements. International students must comply with university English proficiency requirements.

The Master of Engineering Management aims to address the growing demand among engineering practitioners for an advanced degree that combines the technical knowledge of Industrial and Systems Engineering with the practical business expertise of a management program.

Provide rigorous, business-focused engineering education to those pursuing the degree.

Educate students in the technical basis of engineering management.

Provide students with practical knowledge in the implementation of management techniques in engineering environments.

Outcome 2: Students will gain an ability to write effectively advanced topics in Engineering Management.

Outcome 3: Graduates will have an ability to present their findings effectively advanced topics in Engineering Management.

Delivered online. our course formats.

And every industry can benefit from that. The field gives its practitioners an education in engineering and business, and the opportunity to work in a variety of fields such as bio and nano-engineering as well as traditional manufacturing, health care, entertainment, shipping and logistics, public utilities, telecommunications and management consulting.The Master of Industrial Engineering (MIE) provides the education and credentials necessary for the professional, practitioner-oriented individual seeking graduate-level breadth in the field.

Because this program is designed for self-supported, military, part-time and co-op students preparing for a career in industry, government or consulting, assistantship awards are usually not available. No final oral examination or thesis research is required for this degree. Project work (up to six credit hours) is optional. This degree may be obtained by a combination of project and coursework or by coursework alone.

The -credit-hour degree program does not require on-campus residency.

NDS studentsseekingspring enrollment in anEngineering onlineprogram and or course, please NDS applicationno later thanWednesday,January 4, 2023 to ensure your application materials are received on time. Submitting your application afterJanuary 4, may result in not being admitted or enrolled in classes for theSpring 2023semester.

The discipline does not have to be industrial engineering but it must have a strong engineering mathematical curriculum.

Completion of the Graduate Record Exam (GRE) for all applicants.

A minimum of credit hours is required, of which at least 21 hours must be in Industrial Engineering courses. Project work for the degree is optional up to 6 hours of credit for ISE 677 (Industrial Engineering Projects) may be allowed toward the degree. As a breadth requirement, the student must elect one course from four of the five breadth requirement groups in ISE plus one course from Computer Science, Mathematics, or Statistics, for a total of 15 credit hours. No than 6 hours of 400-level coursework are permitted on the Plan of Graduate Work from outside the Industrial Engineering.

One course from four of the following groups in the Breadth Requirement Course Listing (12 credit hours):.

One course from group F (Computer Science, Mathematics, and Statistics) in the Breadth Requirement Course Listing.

There is no minor however, the student may elect a concentration from another department.

Project work is optional. Credit may be allowed, for example, for work pursued during a co-op experience. It is recommended that all project work should be documented in a formal report with properly listed references, abstract, etc. M.I.E. students must register for ISE 677 (or ISE 589) in order to obtain course credit toward the degree for project work.

Efficiency drives profits in the world of production and manufacturing. Industrial engineers explore ways to get work done in the most efficient ways while taking into consideration competing factors like the number of workers needed, actions required, an acceptable margin of error, available technology, worker safety, environmental concerns, budget and cost. The Master of Industrial Engineering provides the education needed for industrial engineers to effectively improve the bottom line for companies and agencies.

The degree requirements in the Master of Science in Industrial Engineering online program are very flexible. To assist students, ISE has created several sample curricula, sorted by research area.

Top 25 Best Industrial Engineering programs (U.S. News World Report, 2023).

The processes used to manufacture everything from consumer products to refined materials are undergoing a dramatic evolution, driven by technological innovations and increasing demands for efficiency. The online Master of Science in Industrial Engineering can help you optimize the next generation of manufacturing operations and supervise production processes.

You can shape the flexible online program to match your interests and career goals. Learn to lead best practices by developing your knowledge of crucial areas such as:.

According to the US Bureau of Labor Statistics, opportunities are growing fast for industrial engineers. The BLS projected a 10% increase in positions in this field between 2019 and 2029, outpacing an average of 4% for all occupations.

These versatile professionals advance their careers by improving manufacturing and other processes in a variety of organizations. The leading sectors for the employment of industrial engineers are:.

In a world of globalized manufacturing and chains, industrial engineers have a vital role in developing efficient processes and preparing organizations for long-term growth. The BLS predicted that changes in the US health care system, including the adoption of new technology, will also drive greater demand for experts in the field.

The flexible requirements for the online MS in Industrial Engineering can be completed in several different ways, allowing you to choose a course of study that best supports your professional goals. After completing nine units of core classes, you can choose to earn the rest of the required 30 required units through a range of electives offered by the Systems and Industrial Engineering (SIE) as well as a thesis or project.

AND One Course from 56X or 58X series.

The topic should have practical significance and require application of graduate-level course material. The report typically involves the application of new methodologies to an actual industrial problem. The final examination for this option is the same as that required for the thesis option.

This option requires 24 units of coursework, followed by six units of thesis research (SIE 910). Thesis work is an excellent complement to course work and constitutes a valuable opportunity to develop an appreciation for and understanding of advanced engineering research. You will only be permitted to select the thesis option with an outstanding academic record.

Other members of the department may also choose to examine the thesis.

Not all of our 600-level courses are offered online each semester.

Statistical methodology of estimation, testing hypotheses, goodness-of-fit, nonparametric methods, and decision theory as it relates to engineering practice. Significant emphasis on the underlying statistical modeling and assumptions. Graduate-level requirements include additionally difficult work assignments.

SIE 540 Survey of Optimization Methods: Survey of methods including network flows, integer programming, nonlinear programming, and dynamic programming. Model development and solution algorithms are covered. Grading: Regular grades are awarded for this course: A B C D E. May be convened with SIE 440. SIE 545 Fundamentals of Optimization: Unconstrained and constrained optimization problems from a numerical standpoint. Topics include variable metric methods, optimality conditions, quadratic programming, penalty and barrier function methods, interior point methods, successive quadratic programming methods.

One course from 56X or 58X series (3).

Quality, improvement, and control methods with applications in design, development, manufacturing, delivery, and service. Topics include modern quality management philosophies, engineering statistical methods (including process control, control charts, process capability studies, loss functions, experimentation for improvement), and TQM topics (customer driven quality, teaming, Malcolm Baldridge, and ISO 9000). Graduate-level requirements include additional readings and assignments projects.

It is concerned with determining the probability that a component or system, whether simple or complex, will function as intended. The scope of this course includes: (1) Root cause analysis of critical failures, (2) reliability models of components and systems, (3) development of statistical methods for estimating the reliability of a product, (4) use of software tools to perform model development and analysis, and (5) methodologies to influence system designs. Graduate-level requirements include a term project that focuses on real-world implementations of the course material and or original theoretical developments in the form of a technical paper.

Topics covered in this course include patents, trade secrets, trademarks, copyrights, product liability contracts, business entities, employment relations, and other legal matters important to engineers and scientists. Graduate-level requirements include an in-depth research paper on a current topic.

Principles of the engineering sales process in technology-oriented enterprises selling strategy, needs analysis, proposals, technical communications, electronic media, time management, and ethics practical application of concepts through study of real-world examples. Graduate-level requirements include a term paper on a course topic selected from a short list of topics, other graded components of the course and creation of a PowerPoint presentation to the class.

SIE 522 Engineering Decision Making Under Uncertainty (3).

Application of principles of probability and statistics to the design and control of engineering systems in a random or uncertain environment. Emphasis is placed on Bayesian decision analysis. Graduate-level requirements include a semester research project.

Graduate-level requirements include a library research report.

This course provides fundamental analytical skills necessary to analyze data and make decisions using sports examples. These skills include critical thinking, statistical analysis, computer programming, and data visualization which are generally applicable to other areas of engineering and business.

Students will acquire an integrated set of skills spanning data processing, statistics and machine learning, along with a good understanding of the synthesis of these skills and their applications to solving problem. The course is composed of a systematic introduction of the fundamental topics of data science study, including: 1) principles of data processing and representation, 2) theoretical basis and advances in data science, 3) modeling and algorithms, and 4) evaluation mechanisms. The emphasis in the treatment of these topics will be given to the breadth, rather than the depth. Real-world engineering problems and data will be used as examples to illustrate and demonstrate the advantages and disadvantages of different algorithms and compare their effectiveness as well as efficiency, and help students to understand and identify the circumstances under which the algorithms are most appropriate.

The course will cover various modeling and simulation approaches used in studying traffic dynamics and control in a transportation network. The model-based simulation tools discussed include dynamic macroscopic and microscopic traffic flow simulation and assignment models. Models will be analyzed for their performance in handling traffic dynamics, route choice behavior, and network representation.

Plan and design of efficient logistics and distribution systems. Grading: Regular grades are awarded for this course: A B C D E.

Focuses on principles of cost estimation and measurement systems with specific emphasis on parametric models. Approaches from the fields of hardware, software, and systems engineering are applied to a variety of contexts (risk assessment, judgment decision making, performance measurement, process improvement, adoption of new tools in organizations, etc.). Material is divided into five major sections: cost estimation fundamentals, parametric model development and calibration, advanced engineering economic principles, measurement systems, and policy issues. The graduate-level requirements include a final paper.

Fundamentals of Chain Management including inventory logistics planning and management, warehouse operations, procurement, sourcing, contracts, and collaboration. Graduate-level requirements include an additional semester research paper.

SIE 566 Life Cycle Analysis for Sustainable Design and Engineering (3).

Financial modeling and simulation of new technology ventures. Topics include Pro Forma financial statements construction, time value of money, accounting, valuation, and technology ownership issues. Entrepreneurship issues related to forming a company will be discussed. This course is intended for graduate students in science or engineering with little or no prior background in engineering economics.

Strategic, tactical, and operational planning innovation and technological cycles the elements of entrepreneurship, and human relations topics for technical managers. Graduate-level requirement includes two term papers. Grading: Regular grades are awarded for this course: A B C D E. Identical to: ENGR 567. May be convened with SIE 467.

The purpose of this course is to introduce selected topics, issues, problems, and techniques in the area of System Cyber Security Engineering (SCSE), early in the development of a large system. Students will explore various techniques for eliminating security vulnerabilities, defining security specifications plans, and incorporating countermeasures to achieve overall system assurance. SCSE is an element of system engineering that applies scientific and engineering principles to identify, evaluate, and contain or eliminate system vulnerabilities to known or postulated security threats in the operational environment. SCSE manages and balances system security risk across all protection domains spanning the entire system engineering life cycle. The fundamental elements of cyber security will be explored, including human cyber engineering techniques, penetration testing, mobile and wireless vulnerabilities, network mapping and security tools, embedded system security, reverse engineering, software assurance and secure coding, cryptography, vulnerability analysis, and cyber forensics. After a fundamental understanding of the various cyber threats and technologies are understood, the course will expand upon the basic principles, and demonstrate develop a threat vulnerability assessment on a representative system using threat modeling techniques (i.e. modeling threats for a financial banking system, autonomous automobile, or a power distribution system). With a cyber resilience focus, students will learn identify critical use cases or critical mission threads for the system under investigation, and decompose and map those elements to various architectural elements of the system for further analysis. chain risk management (SCRM) will be employed to enumerate potential cyber threats that could be introduced to the system either unintentionally or maliciously throughout the chain. The course culminates with the conduct of a realistic Red Team Blue Team simulation to demonstrate and explore both the attack and defend perspectives of a cyber threat. The Red Team will perform a vulnerability assessment of the prospective system, with the intention of attacking its vulnerabilities. The Blue Team will perform a vulnerability of the same system with the intention of defending it against cyber threats. A comparison will be made between the outcomes of both teams to better understand the overarching solutions to addressing the threats identified. Upon completion of the course, students will be proficient with various elements of cyber security and identify system vulnerabilities early on in the system engineering lifecycle. They will be exposed to various tools and processes to identify and protect a system against those vulnerabilities, and develop program protection plans to defend against and prevent malicious attacks on large complex systems. Graduate students will be given an additional assignment to write a draft Program Protection Plan (PPP) for the system that the class performed the threat analysis for. Program protection planning employs a step-by-step analytical process to identify the critical technologies to be protected analyze the threats determine program vulnerabilities assess the risks and apply countermeasures. A PPP describes the analysis, decisions, and plan to mitigate risks to any advanced technology and mission-critical system functionality. May be convened with SIE 471.

This course engages students in diverse and varied national cybersecurity information systems security problems, under an existing and very successful umbrella program called INSuRE, that enables a collaboration across several universities, Cyber professionals, and cross-disciplined Cyber related technologies. Students will learn research techniques, think clearly these issues, formulate and analyze potential solutions, and communicate their results with sponsors and other participating universities. Working in small groups under the mentorship of technical experts from government and industry, each student will formulate, carry out, and present original research on current cybersecurity information assurance problems of interest to the nation. This course will be run in a synchronized distance fashion, coordinating activities with other INSuRE technical clients and sponsors, along with partnering universities which are all National Centers of Academic Excellence in Cyber Defense Research (CAE-R), i.e., Purdue University, Carnegie Mellon University, University of California Davis, and several others.

SIE 573 Engineering of Trustworthy Secure Systems (3).

The purpose of this course is to explore widely accepted security frameworks, industry standards, and techniques employed in engineering trustworthy secure and resilient systems. We will study and explore several National Institute of Standard and Technology (NIST) frameworks such as the Cyber Security Framework (CSF), the Risk Management Framework (RMF), and other standards. across all forms of adversity characterized as disruptions, hazards, and threats. Cyber resiliency is the ability to anticipate, withstand, recover from, and adapt to adverse conditions, stresses, attacks, or compromises on systems that use or are enabled by cyber resources regardless of the source.

Driven by efforts to improve human health and healthcare systems, this course will cover relevant topics at the intersection of people, information, and technology. Specifically, we will survey the field of biomedical informatics that studies the effective uses of biomedical data, information, and knowledge from molecules and cellular processes to individuals and populations, for scientific inquiry, problem solving, and decision-making. We will explore foundations and methods from both biomedical and computing perspectives, including hands-on experiences with systems, tools, and technologies in the healthcare system. Graduate students will be required to submit an additional assignment or project.

The practice of modern medicine in a highly regulated, complex, sociotechnical enterprise is a testament to the future healthcare system where the balance between human intelligence and artificial expertise will be at stake. The goal of this course is to introduce the underlying concepts, methods, and the potential of intelligent systems in medicine. We will explore foundational methods in artificial intelligence (AI) with greater emphasis on machine learning and knowledge representation and reasoning, and apply them to specific areas in medicine and healthcare including, but not limited to, clinical risk stratification, phenotype and biomarker discovery, time series analysis of physiological data, disease progression modeling, and patient outcome prediction. As a research and project-based course, student(s) will have opportunities to identify and specialize in particular AI methods, clinical healthcare applications, and relevant tools.

SIE 596 Special Topics in Systems and Industrial Engineering (3).

This course is designed to provide a flexible topics course across several domains in the field of Systems Engineering, Industrial Engineering, and Engineering Management. Students will develop and exchange scholarly information in a small group setting. Selected advanced topics in Systems and Industrial Engineering and Operations Research, such as:.

This is a three-credit course for well-qualified graduate students who have taken graduate-level statistics courses. The course provides a comprehensive introduction to the statistical principles and methods for reliability data analysis. This course will cover parametric, nonparametric, and semiparametric methods for modeling degradation data and failure time data with different types of censoring.

Course Requisites: SIE 431 or MIS 521.

Decomposition-coordination algorithms for large-scale mathematical programming. Methods include generalized Benders decomposition, resource and price directive methods, subgradient optimization, and descent methods of nondifferentiable optimization. Application of these methods to stochastic programming will be emphasized. Course Requisites: SIE 544 or SIE 545.

Modeling and solving problems where the decisions form a discrete set. Topics include model development, branch and bound methods, cutting plane methods, relaxations, computational complexity, and solving well-structured problems. Course Requisites: SIE 544.

This course is devoted to structure and properties of practical algorithms for unconstrained and constrained nonlinear optimization. Course Requisites: SIE 544 or SIE 545.

Course Requisites: SIE 544 or SIE 545.

SIE 654 Advanced Concepts in Systems Engineering (3).

Modeling and design of complex systems using the Unified Modeling Language (UML), the Systems Modeling Language (SysML), and Wymorian System Theory. Applications come from systems, hardware and algorithm design. Course will emphasize architecture, requirements, testing, risk analysis, and use of various systems design tools. Course Requisites: SIE 554A.

Special topics in the analysis and design of transportation systems, including advanced traffic management, network routing, dynamic traffic estimation and assignment, network design, intermodal distribution and transportation, and intelligent transportation systems. Course Requisites: SIE 305, SIE 321 SIE 540 or SIE 544 some knowledge of network modeling.

The University of Tennessee, Knoxville, offers an online Master of Science in Industrial Engineering degree for those seeking to expand their knowledge of a broad range of engineering areas.

Cost per credit hour is an estimate based on maintenance and university fees. Some programs may have additional course fees.

Man wearing hardhat and safety vest looking at industrial equipment.

Industrial Engineering is designed for working professionals that are interested in strengthening their knowledge in Industrial Engineering. Our courses cover a broad range of topics such as engineering economics, engineering management, operations research, data analytics, and lean systems.

Students will have the opportunity to take a wide range of engineering-based courses during the completion of their MS in Industrial Engineering degree. Here is an example of the courses offered:.

Application of classical statistical techniques to industrial engineering problems. Statistics and statistical thinking in managerial context of organizational improvement descriptive statistics and distribution theory relationship between statistical process control techniques and classical statistical tools parameter estimation and hypothesis testing goodness-of-fit testing linear regression and correlation analysis of variance single and multiple factor experimental design.

Application of engineering economic analysis in complex decision situations. Inflation and price changes uncertainty evaluation using non-probabilistic techniques capital financing and project allocation evaluations involving equipment replacement, investor-owned utilities, and public works projects probabilistic risk analysis including computer simulation and decision trees multi-attribute decision analysis and other advanced topics.

See all online degrees and certificates available online at the University of Tennessee, Knoxville.

Check out the services and resources all online students receive at UT.

Take a look at policies related to being an online student at UT.

Online Learning Academic Programs2441 Dunford Hall915 Volunteer Blvd., Knoxville, TN 37996.

Online BachelorsOnline Graduate DegreesOnline MastersOnline Graduate CertificatesOnline DoctoratesOnline Minors.

Improve effectiveness and efficiency within the field of industrial engineering.

To pursue your industrial engineering degree, get started today.

Nationally recognized by U.S. News World Report among the Best Online Graduate Engineering Programs.

Transfer up to 45 credit hours toward an associate degree.

The Associate of Science in Industrial Engineering Technology online degree at Trine University will prepare you to succeed in multiple hands-on roles within the manufacturing sector. This multidisciplinary program equips you with the skills to apply methodologies and tools to real-world processes.

The Associate of Science in Industrial Engineering Technology online degree prepares you to be a work-ready technologist. Building on your skills in manufacturing, production or assembly operation, this program prepares you to contribute immediately as part of the industrial workforce.

Through your coursework in this program, you will focus on manufacturing processing, quality assurance and overall manufacturing operations to learn skills you can transfer to your career.

This online degree also prepares you for advanced educational opportunities such as a Bachelor of Science in Industrial Engineering Technology.

TrineOnline delivers the convenience and accessibility of an online degree program with classes starting every eight weeks.