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MEng: Biomedical Engineering Track

Biomedical engineering is the broad area of study in which engineers use an interdisciplinary approach to solve problems in the medical field, often associated with the interaction between living and non-living systems.

The program is intended for engineers who want to add depth to their knowledge or acquire new specialized knowledge in biomedical engineering to design, build, test, and/or analyze biological systems, diagnostics, devices, and treatment modalities. The breadth of solution methodologies requires biomedical engineers to take a quantitative approach to system analysis in "traditional" engineering fields, while simultaneously employing a fundamental understanding of the relevant life sciences.

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Required Coursework

COURSE TYPE	REQUIRED NUMBER OF COURSES	COURSES
Core Courses	5 courses	Choose five courses, from the following: ENGS 111: Digital Image Processing ENGG 113: Image Visualization and Analysis ENGS 117: Computational Imaging ENGS 127: Bioelectronics ENGS 129: Biomedical Circuits and Systems ENGS 156: Heat, Mass and Momentum Transfer ENGS 159: Molecular Sensors & Nanodevices in Biomedical Engineering ENGS 162: Basic Biological Circuit Engineering ENGS 163: Advanced Protein Engineering ENGS 164: Tissue Engineering ENGS 165: Biomaterials ENGG 166: Quantitative Human Physiology ENGS 167: Medical Imaging ENGG 168: Biomedical Radiation Transport ENGS 169: Intermediate Biomedical Engineering ENGG 189.10: Medical Device Commercialization (0.5 credit) ENGG 189.20: Medical Device Development (0.5 credit) ENGG 199.16: Wearable Electronics ENGS 262: Advanced Biological Circuit Engineering
Electives	4 courses	Choose four courses, from the following: Engineering* Any graduate-level engineering sciences courses, including: ENGS 91: Numerical Methods in Computation ENGS 92: Fourier Transforms and Complex Variables ENGS 93 or ENGG 193: Statistical Methods in Engineering ENGS 105: Computational Methods for Partial Differential Equations I ENGS 108: Applied Machine Learning ENGS 110: Signal Processing 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, from the following:

ENGS 111: Digital Image Processing
ENGG 113: Image Visualization and Analysis
ENGS 117: Computational Imaging

ENGS 127: Bioelectronics
ENGS 129: Biomedical Circuits and Systems
ENGS 156: Heat, Mass and Momentum Transfer
ENGS 159: Molecular Sensors & Nanodevices in Biomedical Engineering
ENGS 162: Basic Biological Circuit Engineering

ENGS 163: Advanced Protein Engineering
ENGS 164: Tissue Engineering
ENGS 165: Biomaterials
ENGG 166: Quantitative Human Physiology
ENGS 167: Medical Imaging
ENGG 168: Biomedical Radiation Transport
ENGS 169: Intermediate Biomedical Engineering
ENGG 189.10: Medical Device Commercialization (0.5 credit)
ENGG 189.20: Medical Device Development (0.5 credit)
ENGG 199.16: Wearable Electronics
ENGS 262: Advanced Biological Circuit Engineering

Electives

4 courses

Choose four courses, from the following:

Engineering*

Any graduate-level engineering sciences courses, including:

ENGS 91: Numerical Methods in Computation
ENGS 92: Fourier Transforms and Complex Variables
ENGS 93 or ENGG 193: Statistical Methods in Engineering
ENGS 105: Computational Methods for Partial Differential Equations I
ENGS 108: Applied Machine Learning
ENGS 110: Signal Processing

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)

* 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.