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Course Requirements
Core Courses (choose five, from the following)
- ENGS 108: Applied Machine Learning*
- ENGS 150: Intermediate Fluid Mechanics
- ENGS 155: Intermediate Thermodynamics
- ENGS 156: Heat, Mass, and Momentum Transfer
- ENGS 157: Chemical Process Design
- ENGS 158: Chemical Kinetics and Reactors
- ENGS 159: Molecular Sensors & Nanodevices in Biomedical Engineering
- ENGS 160: Biotechnology and Biochemical Engineering
- ENGS 161: Metabolic Engineering
- ENGS 162: Basic Biological Circuit Engineering
- ENGS 163: Advanced Protein Engineering
- ENGS 165: Biomaterials
- ENGG 260: Advances in Biotechnology
- ENGG 261: Biomass Energy Systems
- ENGS 262: Advanced Biological Circuit Engineering
- COSC 175: Introduction to Bioinformatics (Applied Math)**
- BIOC 101: Molecular Information in Biological Systems
* ENGS 108, COSC 174, and QBS 108 are equivalent, and only one may be taken for credit.
** COSC 175 and QBS 175 are equivalent courses. Only one may be taken for credit.
Electives (choose four 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.
Engineering
Any graduate-level engineering sciences courses.
Design Project
Students enrolled in the design project elective 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
Science
Any graduate-level science courses, including:
- COSC 174: Machine Learning and Statistical Data Analysis*
- COSC 186: Computational Structural Biology
- COSC 189: Topics in Computational Immunology
- CHEM 101.2: Statistical Thermodynamics
- CHEM 161.2: Biomolecular Simulations
- CHEM 161.4: Structure and Dynamics of Biomolecules
- MICR 142: Advanced Cellular and Molecular Immunology
- MICR 144: Cellular and Molecular Basis of Immunity
- MICR 149: Microbial Physiology and Metabolism
- QBS 108: Applied Machine Learning1
- QBS 120: Foundations of Biostatistics I: Statistical Theory for the Quantitative Biomedical Sci.
- QBS 121: Foundations of Biostatistics II: Regression
- QBS 149: Mathematics and Probability for Statistics and Data Mining
- QBS 175: Foundations of Bioinformatics II**
* ENGS 108, COSC 174, and QBS 108 are equivalent, and only one may be taken for credit.
** COSC 175 and QBS 175 are equivalent courses. Only one may be taken for credit.