Industrial and Management Engineering

Industrial and Management Engineering at Rensselaer Polytechnic Institute offers a comprehensive and interdisciplinary education designed to prepare students for leadership roles in modern industry and manufacturing sectors. The program combines principles from engineering, business, and management to equip graduates with the skills necessary to optimize complex systems, improve operational efficiency, and innovate processes across various industries. Students in this program gain a solid foundation in areas such as systems engineering, operations research, supply chain management, quality control, and human factors engineering. The curriculum emphasizes hands-on learning through laboratory work, projects, and industry collaborations, providing real-world experiences and problem-solving skills. Additionally, students have opportunities to specialize in areas like manufacturing engineering, logistics, or data analytics, tailoring their education to meet specific career interests. The program prepares graduates for careers in manufacturing, consulting, logistics, project management, and technology development, among others. Faculty members are experts in their fields, often engaged in cutting-edge research aimed at advancing industrial processes and management strategies. The interdisciplinary approach fosters innovation, critical thinking, and leadership qualities essential for thriving in dynamic and competitive environments. Students benefit from modern facilities, access to industry partnerships, and participation in internships and cooperative education programs, enhancing their practical experience and employability. Upon completion, graduates are well-equipped to tackle complex engineering challenges and contribute effectively to the efficiency and sustainability of modern industries. The Industrial and Management Engineering program at Rensselaer Polytechnic Institute is committed to developing well-rounded professionals who can lead technological and managerial advancements in a global context, ensuring they are prepared for successful careers and lifelong learning.

Prerequisite requirements for the master’s programs include the following courses or their equivalents:

• ISYE 4140 - Statistical Analysis Credit Hours: 4
• ISYE 6610 - Systems Modeling in Decision Sciences Credit Hours: 3

Approved Industrial and Information Systems Engineering Courses

The following courses may be included among the 24 credits of restricted electives:

• ISYE 4200 - Design and Analysis of Work Systems Credit Hours: 3
• ISYE 4210 - Design and Analysis of Supply Chains Credit Hours: 3
• ISYE 4220 - Optimization Algorithms and Applications Credit Hours: 3
• ISYE 4230 - Quality Control Credit Hours: 3
• ISYE 4240 - Engineering Project Management Credit Hours: 3
• ISYE 4250 - Facilities Design and Industrial Logistics Credit Hours: 3
• ISYE 4260 - Human Performance Modeling and Support Credit Hours: 3
• ISYE 4290 - Discrete Event Simulation Modeling and Analysis Credit Hours: 4
• ISYE 4300 - Complex Systems Models for Industrial and Systems Engineering Credit Hours: 3
• ISYE 4310 - Ethics of Modeling for Industrial and System Engineering Credit Hours: 3
• ISYE 4760 - Mathematical Statistics Credit Hours: 4
• ISYE 4810 - Computational Intelligence Credit Hours: 3
• ISYE 6010 - Applied Regression Analysis Credit Hours: 3
• ISYE 6020 - Design of Experiments Credit Hours: 3
• ISYE 6100 - Time Series Analysis Credit Hours: 3
• ISYE 6140 - Exploratory Data Analysis Credit Hours: 3
• ISYE 6180 - Knowledge Discovery with Data Mining Credit Hours: 3
• ISYE 6210 - Theory of Production Scheduling Credit Hours: 3
• ISYE 6530 - Decision Support and Expert Systems Credit Hours: 3
• ISYE 6610 - Systems Modeling in Decision Sciences Credit Hours: 3
• ISYE 6760 - Combinatorial Optimization and Integer Programming Credit Hours: 4
• ISYE 6770 - Linear Programming Credit Hours: 4
• ISYE 6780 - Nonlinear Programming Credit Hours: 4
• ISYE 6820 - Queuing Systems and Applications Credit Hours: 3
• ISYE 6870 - Introduction to Neural Networks Credit Hours: 3
• ISYE 6960 - Topics in ISYE Credit Hours: 3
• ISYE 6965 - Agent Based Simulation Methods Credit Hours: 3
• ISYE 696x - Stochastic Models of Supply Chain  Credit Hours: 3
• ISYE 696x - Group Decision Making and Cognition  Credit Hours: 3

Requirements

1. Nonrefundable application processing fee of $75.
2. Statement of Background and Goals
3. Resume or curriculum vitae.
4. Two letters of recommendation.
5. Writing samples, if required by department.
6. IT Background Evaluation form (IT only).
7. Copies of official test scores (GRE, GMAT, TOEFL, IELTS, and PTE)
8. Copies of official transcripts and evidence of degrees earned, in English and in the native language, of all post-secondary education (including transcript keys)
9. Copy of your passport (international students only)
10. TOEFL score of 230 CBT/88 iBT/570 PBT (IELTS 6.5 or PTE 60)

Scholarships

Teaching Assistants

Students assist Rensselaer faculty in their classroom and laboratory activities, gaining valuable experience as researchers, scholars, and teachers. Departments provide stipends and full-tuition waivers. Master’s students may spend a maximum of one year with internal support; doctoral students may spend a maximum of two years with internal support. Continued support can then be provided by means of research assistantships.

Research Assistants

Students work with the faculty in research-related tasks that further the student’s own graduate career and development as a researcher, scholar, and professional. Research assistants are paid a stipend and are given a full waiver of tuition.

Graduate Fellowships

Outstanding students may be awarded a university-supported Rensselaer Graduate Fellowship Award, which carries a full-tuition and fees scholarship and a minimum stipend of $21,500 per academic year. Students are nominated by their departments for Rensselaer Graduate Fellowship consideration.

Graduate Education Program (Russia)

Selected GEP Scholarship students are eligible for a renewable scholarship in the amount of 1,38 mln. rubles per year. Students in science and engineering fields are eligible for GEP funding. For application details and deadlines, please visit http://educationglobal.ru/en/. Applicants must be admitted to Rensselaer prior to finalizing the application for the GEP program.

The Bachelor of Science in Industrial and Management Engineering at Rensselaer Polytechnic Institute offers a comprehensive curriculum designed to prepare students for a diverse range of careers in the fields of industrial engineering, management, and systems optimization. The program emphasizes a strong foundation in mathematics, engineering principles, and management practices, enabling graduates to effectively analyze and improve complex systems in manufacturing, healthcare, logistics, and service industries. Students engage with core courses in operations research, supply chain management, quality control, production systems, and data analysis, complemented by electives allowing specialization in areas such as automation, human factors, and information systems. The program also integrates practical experiences through projects, internships, and cooperative education opportunities, providing real-world applications of theoretical knowledge. Rensselaer’s emphasis on innovation and research fosters an environment where students collaborate with faculty on cutting-edge projects that address contemporary challenges in industrial engineering. The program's interdisciplinary approach prepares graduates not only with technical expertise but also with leadership and communication skills essential for managerial roles. Additionally, the program emphasizes sustainability, ethical decision-making, and global perspectives to equip students for the dynamic and interconnected nature of modern industry. With access to state-of-the-art laboratories and industry partnerships, students gain hands-on experience that enhances their employability. Career pathways for graduates include roles in process engineering, project management, quality assurance, systems analysis, and consulting. The program aims to produce graduates who are versatile, innovative, and equipped to lead in advancing efficiency and effectiveness across various sectors.