University of Texas at Austin Campus
Master of Science
On Campus
University of Texas at Austin Logo
University of Texas at Austin
Austin
United States

Operations Research and Industrial Engineering

About

The Operations Research and Industrial Engineering program provides an intensive and applied study of optimization, systems analysis, and decision-making processes. Over one year, students explore mathematical modeling, operations optimization, supply chain management, and performance analysis, combining theoretical frameworks with practical applications. The curriculum emphasizes analytical thinking, problem-solving, and quantitative reasoning, enabling learners to design efficient systems, optimize processes, and make data-driven decisions. Through seminars, workshops, and applied projects, students gain the expertise necessary to address complex challenges in industrial systems and operations management.

Students also participate in simulation exercises, case studies, and collaborative projects, fostering both technical and professional competencies. Mentorship from experienced faculty guides students through advanced modeling, operational analysis, and research techniques, preparing them to tackle real-world industrial and engineering problems. By the end of the program, graduates leave with strong analytical, research, and systems-design skills, equipped to contribute effectively to operations management, industrial optimization, and systems engineering.

Key information

Duration
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Tuition fee
$19,320.00/year
Start dates & application deadlines
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More details
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Key Facts

  • Program Title: Operations Research and Industrial Engineering
  • Degree Type: Master of Science
  • Duration: 1 year
  • Mode of Study: Full-time, On Campus
  • Application Deadline: 01 December 2025
  • Location: University of Texas at Austin, United States
  • Field of Study: Industrial & Systems Engineering
  • Language of Instruction: English

Program Structure

Semester 1 – Foundations in Operations Research and Industrial Engineering

  • Mathematical Modeling and Optimization
  • Systems Analysis and Simulation
  • Probability and Statistical Methods for Engineering
  • Research Methods in Industrial Systems

Semester 2 – Advanced Applications & Capstone

  • Supply Chain and Logistics Optimization
  • Decision Analysis and Risk Management
  • Applied Industrial Engineering Project
  • Capstone Project / Applied Research

Career Opportunities

Graduates are prepared for careers as operations analysts, industrial engineers, systems consultants, supply chain managers, and data analysts. They may work in manufacturing, logistics, consulting firms, or technology companies. The program equips students with skills in process optimization, quantitative analysis, systems modeling, and project management, enabling them to improve operational efficiency and decision-making. Alumni often participate in operational improvement initiatives, industrial analytics, and optimization projects. With applied expertise and analytical training, graduates gain a competitive advantage in industrial engineering and operations research sectors.

Why Choose This Program

This program is ideal for students seeking advanced knowledge in operations research and industrial engineering with both applied and research-based experience. The one-year structure allows learners to develop foundational and specialized skills, engage in applied projects and simulations, and complete a capstone under faculty mentorship. By participating in workshops, seminars, and collaborative projects, students cultivate critical thinking, analytical skills, and professional competencies in systems analysis and operations management. The curriculum emphasizes practical problem-solving, data-driven strategies, and optimization techniques, preparing graduates to make meaningful contributions to industrial systems, operations, and process improvement.