Program Overview

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, PhD, Assistant Professor, Department of Industrial and Systems Engineering

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Program Outcomes

The asynchronous master’s in industrial and systems engineering program provides a balance of theory and application, featuring video lectures, exercises, discussions, and hands-on projects. Students also have the opportunity to complete an internship for course credit.

The 30-credit online MEng in ISE prepares students to:

  • Apply data science methods to engineering and business data
  • Develop and apply advanced tools and techniques for decision making in complex, dynamic, and uncertain environments
  • Manage engineering and business projects and lead innovation
  • Be a technical team player in high-tech, financial, social media and other industries

“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

Careers

The online Master of Engineering in Industrial and Systems Engineering provides essential knowledge in data science, optimization and AI, probability and statistics, logistical systems and supply chains, engineering project management, and sustainable systems—skills desired in an array of industries. Assistant Professor Weihong ‘Grace’ Guo, PhD, notes that organizations are increasingly interested in making improvements to their production and systems in terms of minimizing costs, reducing waste, addressing disruption and uncertainties, and enhancing reliability and resilience. This is where industrial and systems engineers come in.

Overall, there is expected to be faster-than-average job growth for industrial engineers at 14 percent from 2020-2030, according to the U.S. Bureau of Labor Statistics (BLS). The BLS also reports a $95,300 annual median salary for this role.

Graduates from the Rutgers Department of Industrial and Systems Engineering are working in:

  • Consulting firms like Deloitte and Accenture
  • Financial service organizations like AIG, Goldman Sachs, and J.P. Morgan
  • Healthcare companies like Bristol-Myers Squibb and Johnson & Johnson
  • Logistics and distribution businesses, including Amazon, FedEx, and UPS
  • Manufacturing companies
  • Military (U.S. Army)
  • Tech organizations like Apple, Facebook, Google, and LinkedIn
  • Theme parks such as Disney World

Not only do industrial engineering professionals have flexibility in where they work, but they also have flexibility in the type of work they do, whether they’re more interested in hands-on development or solving advanced mathematical problems.

Typical job titles of industrial and systems engineering graduates include:

  • Business technology analyst
  • Consultant (technical and management)
  • Data scientist
  • Ergonomist
  • Financial analyst
  • Manufacturing engineer
  • Operations analyst
  • Quality manager
  • Quantitative model risk auditor
  • Reliability engineer
  • Supply chain/logistics manager
  • Systems engineer