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MEng: Mechanical, Operations & Systems Engineering

Mechanical, operations, and systems engineering leverages fundamental principles of physics, economics, human behavior, and advanced computing to innovate in a wide array of application domains—from fluid and thermal systems, climate change, energy, and infrastructure, to healthcare, cybersecurity, and information systems.

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Course Requirements

The program consists of nine courses, of which five should be ENGG or ENGS courses.

Core Courses (choose five, all from one subfield)

Mechanical Engineering

  • ENGS 91: Numerical Methods in Computation
  • ENGS 92: Fourier Transforms and Complex Variables
  • ENGS 93: Statistical Methods in Engineering
  • ENGS 100: Methods in Applied Mathematics I
  • ENGS 105: Computational Methods for Partial Differential Equations I
  • ENGS 130: Mechanical Behavior of Materials
  • ENGS 131: Science of Solid State Materials
  • ENGS 142: Intermediate Solid Mechanics
  • ENGS 145: Modern Control Theory
  • ENGS 146: Computer Aided Mechanical Engineering Design
  • ENGS 147: Mechatronics
  • ENGG 148: Structural Mechanics
  • ENGG 149: Introduction to Systems Identification
  • ENGS 150: Intermediate Fluid Mechanics
  • ENGS 155: Intermediate Thermodynamics
  • ENGS 156: Heat, Mass, and Momentum Transfer
  • ENGS 173: Energy Utilization
  • ENGG 230: Fatigue and Fracture

Operations Research & Analytics

  • ENGS 85.1: Mathematical Foundations for Machine Learning
  • ENGS 93: Statistical Methods in Engineering
  • ENGS 103: Operations Research
  • ENGG 107: Bayesian Statistical Modeling and Computation
  • ENGS 108: Applied Machine Learning
  • ENGS 112: Modern Information Technologies
  • ENGS 145: Modern Control Theory
  • ENGG 149: Introduction to Systems Identification
  • ENGG 177: Decision-Making under Uncertainty
  • ENGM 182: Data Analytics
  • ENGM 184: Introduction to Optimization Methods
  • ENGG 199.09: Game-theoretic Design, Learning and Engineering
  • COSC 184: Mathematical Optimization and Modeling
  • COSC 274: Machine Learning and Statistical Data Analysis
  • COSC 276: Artificial Intelligence
  • MATH 106: Stochastic Processes & Uncertainty Quantification
  • QBS 180: Data Visualization

Industrial & Systems Engineering

  • ENGS 91: Numerical Methods in Computation
  • ENGS 92: Fourier Transforms and Complex Variables
  • ENGS 93: Statistical Methods in Engineering
  • ENGS 103: Operations Research
  • ENGS 105: Computational Methods for Partial Differential Equations I
  • ENGG 107: Bayesian Statistical Modeling and Computation
  • ENGS 108: Applied Machine Learning
  • ENGS 145: Modern Control Theory
  • ENGS 147: Mechatronics
  • ENGG 149: Introduction to System Identification
  • ENGS 175: Energy Systems
  • ENGG 177: Decision-Making under Uncertainty
  • ENGM 182: Data Analytics
  • ENGM 184: Introduction to Optimization Methods
  • ENGM 191: Product Design and Development
  • ENGG 199.02: Model Based Systems Engineering
  • ENGG 199.08: Post-Modern and Non-Linear Control
  • ENGG 199.09: Game-theoretic Design, Learning and Engineering
  • COSC 269: Multirobot Systems
  • QBS 140/PH 121: Decision & Cost Effectiveness Analysis
  • QBS 180: Data Visualization

Climate, Environment, & Energy

  • ENGS 91: Numerical Methods in Computation
  • ENGS 93: Statistical Methods in Engineering
  • ENGS 103: Operations Research
  • ENGS 105: Computational Methods for Partial Differential Equations I
  • ENGG 107: Bayesian Statistical Modeling and Computation
  • ENGS 139.1: Polar Science & Engineering: Solidification, Sea Ice, Strength & Fracture of Ice
  • ENGS 139.2: Polar Science & Engineering: Physics & Chemistry of Ice, Polar Glaciology, Remote Sensing
  • ENGS 145: Modern Control Theory
  • ENGS 151: Environmental Fluid Mechanics
  • ENGS 171: Industrial Ecology
  • ENGS 172: Climate Change and Engineering
  • ENGS 172.2: Techno-economic Analysis in a Developing Country Context
  • ENGS 173: Energy Utilization
  • ENGS 174: Energy Conversion
  • ENGS 175: Energy Systems
  • ENGG 177: Decision-Making under Uncertainty
  • ENGM 191: Product Design and Development
  • ENGG 199.02: Model Based Systems Engineering

General MOS
Work with your advisor to pick any combination of five core courses from the above four subfields.

Electives (choose four)

Electives can be any graduate course as long as at least five of the nine total required courses are in engineering (ENGS or ENGG).

Design Project

Students enrolled in the design project elective may take the following three-course sequence to partially fulfill the four-course elective requirement.