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Rutgers School of Engineering MSc in Industrial and Systems Engineering
Rutgers School of Engineering

MSc in Industrial and Systems Engineering

Piscataway Township, USA

12 up to 18 Months

English

Full time, Part time

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Distance Learning, On-Campus

Key Summary

    About: The MSc in Industrial and Systems Engineering focuses on optimizing complex systems, improving productivity, and enhancing operations through advanced engineering techniques. The program offers coursework in systems design, performance evaluation, and data analysis, equipping students with the skills needed to tackle real-world challenges in various industries.
    Career Outcomes: Graduates can pursue careers in sectors like manufacturing, logistics, healthcare, and consulting. Potential roles include systems engineer, operations manager, industrial engineer, and data analyst, where they can apply their expertise to improve efficiency and decision-making processes.

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Introduction

The Master of Engineering in Industrial and Systems Engineering (MEng in ISE) is a multidisciplinary program designed to expose students to data science and engineering fundamentals. Through courses like data analytics, decision-making under uncertainty, and planning and operations engineering, students gain critical, in-demand skills necessary to work with increasingly complex systems. Students learn from a faculty of industry experts who exemplify teaching excellence.

They are active researchers in many areas, including:

  • Applications in advanced manufacturing, transportation, energy, and security
  • Automation sciences and AI
  • Data science
  • Intelligent systems
  • Process monitoring and quality engineering
  • Reliability engineering
  • System modeling and optimization

“We have a strong alumni network in many different industries, and there are opportunities to connect students to those people and help you with your job search. We also have career fairs, an industry day specifically for ISE, alumni nights, and student chapters of societies.”

Weihong 'Grace' Guo, Ph.D., Assistant Professor, Department of Industrial and Systems Engineering

“Our discipline is less focused on a specific industry or specific set of design problems–that’s a very good thing. Every single company or organization needs employees with data analysis and optimization skills, whether it’s working on Wall Street, for a credit card company, or for telecommunications. This whole idea of optimizing a system or improving efficiency–who doesn’t want to do that?”

David W. Coit, Professor, Department of Industrial and Systems Engineering

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