

Industrial Engineering equips students with a deep understanding of systems, processes, and operations across manufacturing, services, and technology sectors. The program emphasizes problem-solving, quantitative analysis, and interdisciplinary research, enabling students to design, optimize, and manage complex systems efficiently. Courses cover operations research, production planning, supply chain management, quality control, human factors, and data analytics, while incorporating practical projects, simulations, and case studies. Students gain hands-on experience in modeling, process improvement, and decision-making, preparing them to address operational challenges in diverse industrial settings.
Throughout the program, students develop strong analytical, computational, and project management skills, which are essential for careers in engineering, operations, logistics, and technology. Exposure to interdisciplinary approaches, including mathematics, computer science, business, and engineering principles, ensures graduates are equipped to tackle complex industrial and organizational problems. By fostering independent inquiry, data-driven analysis, and applied research, the program prepares students to contribute meaningfully to process optimization, efficiency improvements, and innovation in industrial and systems engineering environments.
Year 1 – Foundations in Industrial Engineering
• Introduction to Industrial Engineering
• Calculus and Linear Algebra
• Principles of Physics and Engineering
• Academic Writing and Research Methods
Year 2 – Core Studies and Applied Techniques
• Operations Research and Optimization
• Production and Manufacturing Systems
• Quality Control and Human Factors
• Elective Modules in Supply Chain, Logistics, or Data Analysis
Year 3 – Advanced Analysis and Project Work
• Systems Modeling and Simulation
• Industrial Automation and Technology
• Project Management and Process Design
• Seminar: Case Studies in Industrial Systems
Year 4 – Independent Research and Capstone Project
• Independent Research Project
• Advanced Topics in Industrial Engineering
• Data Analysis and Decision-Making
• Capstone Project and Presentation
Graduates of this program are prepared for careers in industrial engineering, operations management, supply chain analysis, quality control, logistics, and technology consulting. They can work in manufacturing companies, logistics firms, technology enterprises, research institutions, and government agencies focused on optimizing industrial processes. The program equips students with strong analytical, computational, and management skills, enabling them to pursue roles in process optimization, systems design, operational analysis, production planning, and efficiency improvement. Alumni may also pursue postgraduate studies, interdisciplinary research, or leadership positions in engineering and industrial innovation, providing versatile and competitive career pathways across multiple sectors.
This program combines engineering principles, systems analysis, and applied research, providing students with a comprehensive understanding of industrial and organizational processes. Small classes and faculty mentorship offer personalized guidance, fostering critical thinking, problem-solving skills, and project management expertise. The curriculum emphasizes practical applications, data-driven decision-making, and interdisciplinary learning, preparing graduates to address complex operational and technological challenges. By engaging with modeling, simulations, projects, and research initiatives, students gain the knowledge, tools, and experience necessary for impactful careers in industrial engineering, operations, logistics, technology, and further academic study.
For further information, please contact the admissions office at:
Phone: +1 212 854 1754
Email: admissions@columbia.edu
Address: University of Columbia, Admissions Office, New York, NY, United States