2024 Investiture Information

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 from the list of core courses. The remaining four electives can consist of any graduate-level engineering or science courses at Dartmouth.

Please note: The information below reflects degree requirements, effective as of Winter 2024.

COURSE TYPE REQUIRED NUMBER OF COURSESCOURSES

Core Courses

5 courses

Choose 5 courses, 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 93: Statistical Methods in Engineering
ENGS 96
: Math for Machine Learning
ENGS 103: Operations Research
ENGG 107: Bayesian Statistical Modeling and Computation
ENGS 108: Applied Machine Learning or COSC 274: Machine Learning and Statistical Data Analysis
ENGS 112: Modern Information Technologies
ENGS 145: Modern Control Theory
ENGG 149: Introduction to Systems Identification
ENGG 177: Decision-Making under Uncertainty
ENGG 182: Data Analytics
ENGG 184: Introduction to Optimization Methods
ENGG 199.09: Game-theoretic Design, Learning and Engineering
COSC 184: Mathematical Optimization and Modeling
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 or COSC 274: Machine Learning and Statistical Data Analysis
ENGS 145: Modern Control Theory
ENGS 147: Mechatronics
ENGG 149: Introduction to System Identification
ENGS 175: Energy Systems
ENGG 177: Decision-Making under Uncertainty
ENGG 182: Data Analytics
ENGG 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, and 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

4 courses

Choose 4 courses, from the following:

Engineering & Science
Students may choose electives from any graduate-level engineering courses or science courses as long as at least 5 of the 9 total required courses are in engineering (ENGS or ENGG).


Design Project
Students enrolled in the design project elective before Fall 2024 may take the following three-course sequence to partially fulfill the four-course elective requirement.
ENGM 191: Product Design and Development
ENGG 199.1: MEng Design Project Initiation
ENGG 199.11 MEng Design Project Completion


Students enrolled in the design project elective starting in Fall 2024 may take one of the following options to partially fulfill the four-course elective requirement. The appropriate option will depend on each student’s prior experience and coursework since the two tracks require different prerequisites.
Option 1 (1 course)

  • ENGM 191: Product Design and Development

Option 2 (2 courses)

  • ENGS 190: Engineering Design and Methodology Project Initiation
  • ENGS 290: Engineering Design Methodology and Project Completion