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MEng: Energy Engineering

Energy engineering aims to increase the efficiency of energy conversion, storage, transmission and utilization, to accelerate the transition to sustainable energy sources, and to improve access to and management of energy systems. This track is for engineers who want to add depth to or acquire new specialized knowledge in energy engineering in energy technologies, systems, challenges, and opportunities.

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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 Fall 2023.

COURSE TYPEREQUIRED NUMBER OF COURSES COURSES

Core Courses

 5 courses

All 5 courses:

ENGS 171: Industrial Ecology
ENGS 172: Climate Change and Engineering
ENGG 173: Energy Utilization
ENGS 174: Energy Conversion
ENGS 175: Energy Systems

Electives

 4 courses

Choose 4 courses, from the following:

Engineering*
Any graduate-level engineering sciences courses, including:
ENGS 91: Numerical Methods in Computation
ENGS 103: Operations Research
ENGS 104: Optimization Methods for Engineering Applications
ENGS 106: Numerical Linear Algebra
ENGS 108: Applied Machine Learning
ENGS 110: Signal Processing
ENGS 114: Networked Multi-Agent Systems
ENGS 115: Parallel Computing
ENGS 145: Modern Control Theory
ENGG 177: Decision-Making under Risk and Uncertainty
ENGG 182: Data Analytics
ENGG 199.2: Model-Based Systems Engineering, Analysis, and Simulation
ENGS 202: Nonlinear Systems


Design Project**
Students enrolled in the Design Project elective may take the following course sequence to partially fulfill the elective requirement:
ENGM 191: Product Design and Development
ENGG 199.1: MEng Design Project Initiation
ENGG 199.11 MEng Design Project Completion


Science*
Any graduate-level science course, including:
COSC 170: Numerical and Computational Tools for Applied Science
COSC 184: Mathematical Optimization and Modeling
COSC 271: Numerical Linear Algebra
COSC 274: Machine Learning and Statistical Data Analysis

* Students may choose electives from any graduate-level engineering or science courses offered at Dartmouth. The courses listed here are for recommended students who seek additional further depth of study in their chosen track.
** Starting in the Fall of 2024, students interested in the Design Project elective may have additional pathways to fulfill this requirement. Current students should consult their faculty advisors about the path that is best for them. Interested applicants may reach out to engineering.admissions@dartmouth.edu for more information.