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MEng: Electrical/ Computer Engineering Track (On-Campus)

Electrical/computer engineering leverages the fundamental principles surrounding electricity to advance today's emerging technologies ranging from semiconductor devices to advanced communication networks, from self-powered sensors to electric cars, from wearable devices to cognitive medical imaging, and from autonomous vehicles to smart cities.

Students may focus on a single specialization within electrical and computer engineering, or build an individualized curriculum from a combination of complementary subfields within the track.

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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.

As an on-campus MEng student, you will work with your faculty advisor to develop your program plan to fulfill the MEng requirements, which is approved by the MEng director and submitted to the graduate academic advising director during your first term enrolled in the degree program.

Please note: The information below reflects degree requirements, effective as of fall 2026.

Required Coursework

COURSE TYPE	REQUIRED NUMBER OF COURSES	COURSES
Core Courses	5 courses	Choose five courses, all from one subfield: Computer Engineering ENGS 93 or ENGG 193: Statistical Methods in Engineering ENGS 96: Math for Machine Learning ENGS 106: Principles of Machine Learning ENGS 107: Bayesian Statistical Modeling and Computation ENGS 108: Applied Machine Learning or COSC 274: Machine Learning and Statistical Data Analysis ENGS 109: High-dimensional Sensing and Learning (HdSL) ENGS 112: Modern Information Technologies ENGS 128: Advanced Digital System Design COSC 55: Security and Privacy* COSC 258: Operating Systems COSC 269: Topics in Computer Systems COSC 278: Deep Learning Control, Signal Processing, and Image Processing ENGS 92: Fourier Transforms and Complex Variables ENGS 110: Signal Processing ENGS 111: Digital Image Processing ENGG 113: Image Visualization and Analysis ENGS 117: Computational Imaging ENGS 145: Modern Control Theory ENGS 147: Mechatronics ENGG 149: Introduction to Systems Identification ENGS 167: Medical Imaging ENGG 199.08: Post-Modern and Non-Linear Control Semiconductor Devices & Circuits ENGG 122: Advanced Topics in Semiconductor Devices ENGS 125: Power Electronics and Electromechanical Energy Conversion ENGS 126: Analog Integrated Circuits ENGS 127: Bioelectronics ENGS 129: Biomedical Circuits and Systems ENGS 131: Science of Solid State Materials ENGS 134: Nanotechnology ENGS 135: Thin Films and Microfabrication Technology ENGS 159: Molecular Sensors & Nanodevices in Biomedical Engineering ENGS 162: Analog and Probabilistic Computers: From Quantum Atom to Living Body ENGS 262: Analog and Probabilistic Computers: From Quantum Atom to Living Body, Part 2 Optics & Electromagnetics ENGS 105: Computational Methods for Partial Differential Equations I ENGS 120: Electromagnetic Waves: Analytical and Modeling Approaches ENGS 123: Optics ENGS 124: Optical Devices and Systems ENGS 220: Electromagnetic Wave Theory PHYS 105: Electromagnetic Theory I Winter PHYS 106: Electromagnetic Theory II Spring Miniaturized & Mobile Health Sensors ENGS 108: Applied Machine Learning ENGS 125: Power Electronics and Electromechanical Energy Conversion ENGS 127: Bioelectronics ENGS 129: Biomedical Circuits and Systems ENGS 159: Molecular Sensors & Nanodevices in Biomedical Engineering ENGS 169: Intermediate Biomedical Engineering
Electives	4 courses	Choose four courses, from the following: Engineering Any graduate-level engineering sciences courses, including the design project elective options. For a one-course research experience, students can elect ENGG 192: Independent or Group Study in Engineering Sciences. Design Project Students may take one of the following options to partially fulfill the two-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 (one course) ENGM 191: Product Design and Development Option 2 (two courses) ENGS 190: Engineering Design and Methodology Project Initiation ENGS 290: Engineering Design Methodology and Project Completion Science* Any graduate-level science courses.
Project Course	1 course	One core or elective course must be from this section: ENGS 93: Statistical Methods in Engineering ENGS 102: Game-theoretic Design, Learning and Engineering ENGS 103: Operations Research ENGS 105.1: Principles of Causality ENGS 107: Bayesian Statistical Modeling and Computation ENGS 108: Applied Machine Learning ENGS 118: Electrical Power Systems ENGS 121: Implementations of Quantum Information ENGS 139.1: Polar Science & Engineering: Solidification, Sea Ice, Strength & Fracture of Ice ENGS 142: Intermediate Solid Mechanics ENGS 146: Computer-Aided Mechanical Engineering Design ENGS 147: Mechatronics ENGS 150: Intermediate Fluid Mechanics ENGS 155: Intermediate Thermodynamics ENGS 156: Heat, Mass, and Momentum Transfer ENGS 171: Sustainable Product Design ENGS 172: Climate Change and Engineering ENGS 172.2: Techno-economic Analysis in a Developing Country Context ENGS 175: Energy Systems ENGS 177: Decision-Making Under Uncertainty ENGS 190: Engineering Design Methodology and Project Initiation ENGM 191: Product Design and Development ENGG 193: Statistical Methods in Engineering ENGG 199.17: Fundamentals of Additive Manufacturing from Processing to Design ENGG 230: Fatigue and Fracture ENGS 290: Engineering Design Methodology and Project Completion ENGG 499: Smart Sensors (online students only)

COURSE TYPE

REQUIRED NUMBER OF COURSES

COURSES

Core Courses

5 courses

Choose five courses, all from one subfield:

Computer Engineering
ENGS 93 or ENGG 193: Statistical Methods in Engineering
ENGS 96: Math for Machine Learning
ENGS 106: Principles of Machine Learning
ENGS 107: Bayesian Statistical Modeling and Computation
ENGS 108: Applied Machine Learning or COSC 274: Machine Learning and Statistical Data Analysis
ENGS 109: High-dimensional Sensing and Learning (HdSL)
ENGS 112: Modern Information Technologies
ENGS 128: Advanced Digital System Design
COSC 55: Security and Privacy*
COSC 258: Operating Systems
COSC 269: Topics in Computer Systems
COSC 278: Deep Learning

Control, Signal Processing, and Image Processing
ENGS 92: Fourier Transforms and Complex Variables
ENGS 110: Signal Processing
ENGS 111: Digital Image Processing
ENGG 113: Image Visualization and Analysis
ENGS 117: Computational Imaging
ENGS 145: Modern Control Theory
ENGS 147: Mechatronics
ENGG 149: Introduction to Systems Identification
ENGS 167: Medical Imaging
ENGG 199.08: Post-Modern and Non-Linear Control

Semiconductor Devices & Circuits
ENGG 122: Advanced Topics in Semiconductor Devices
ENGS 125: Power Electronics and Electromechanical Energy Conversion
ENGS 126: Analog Integrated Circuits
ENGS 127: Bioelectronics
ENGS 129: Biomedical Circuits and Systems
ENGS 131: Science of Solid State Materials
ENGS 134: Nanotechnology
ENGS 135: Thin Films and Microfabrication Technology
ENGS 159: Molecular Sensors & Nanodevices in Biomedical Engineering
ENGS 162: Analog and Probabilistic Computers: From Quantum Atom to Living Body
ENGS 262: Analog and Probabilistic Computers: From Quantum Atom to Living Body, Part 2

Optics & Electromagnetics
ENGS 105: Computational Methods for Partial Differential Equations I
ENGS 120: Electromagnetic Waves: Analytical and Modeling Approaches
ENGS 123: Optics
ENGS 124: Optical Devices and Systems
ENGS 220: Electromagnetic Wave Theory
PHYS 105: Electromagnetic Theory I Winter
PHYS 106: Electromagnetic Theory II Spring

Miniaturized & Mobile Health Sensors
ENGS 108: Applied Machine Learning
ENGS 125: Power Electronics and Electromechanical Energy Conversion
ENGS 127: Bioelectronics
ENGS 129: Biomedical Circuits and Systems
ENGS 159: Molecular Sensors & Nanodevices in Biomedical Engineering
ENGS 169: Intermediate Biomedical Engineering

Electives

4 courses

Choose four courses, from the following:

Engineering**

Any graduate-level engineering sciences courses, including the design project elective options.

For a one-course research experience, students can elect ENGG 192: Independent or Group Study in Engineering Sciences.

Design Project

Students may take one of the following options to partially fulfill the two-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 (one course)

ENGM 191: Product Design and Development

Option 2 (two courses)

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

Science***
Any graduate-level science courses.

Project Course

1 course

One core or elective course must be from this section:

ENGS 93: Statistical Methods in Engineering
ENGS 102: Game-theoretic Design, Learning and Engineering
ENGS 103: Operations Research
ENGS 105.1: Principles of Causality
ENGS 107: Bayesian Statistical Modeling and Computation
ENGS 108: Applied Machine Learning
ENGS 118: Electrical Power Systems
ENGS 121: Implementations of Quantum Information
ENGS 139.1: Polar Science & Engineering: Solidification, Sea Ice, Strength & Fracture of Ice
ENGS 142: Intermediate Solid Mechanics
ENGS 146: Computer-Aided Mechanical Engineering Design
ENGS 147: Mechatronics
ENGS 150: Intermediate Fluid Mechanics
ENGS 155: Intermediate Thermodynamics
ENGS 156: Heat, Mass, and Momentum Transfer
ENGS 171: Sustainable Product Design
ENGS 172: Climate Change and Engineering
ENGS 172.2: Techno-economic Analysis in a Developing Country Context
ENGS 175: Energy Systems
ENGS 177: Decision-Making Under Uncertainty
ENGS 190: Engineering Design Methodology and Project Initiation
ENGM 191: Product Design and Development
ENGG 193: Statistical Methods in Engineering
ENGG 199.17: Fundamentals of Additive Manufacturing from Processing to Design
ENGG 230: Fatigue and Fracture
ENGS 290: Engineering Design Methodology and Project Completion
ENGG 499: Smart Sensors (online students only)

* MEng students selecting COSC 55 are required to first gain permission of the instructor and will be assigned additional coursework in order to receive graduate credit.

** With the exception of ENGM 191: Product Design and Development, MEng students may not take ENGM courses for credit.

*** Electives from Dartmouth science departments outside of engineering require MEng director approval prior to enrollment. Typically this approval is granted through the MEng program plan.