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MEng: Biological/Chemical Engineering

Biological/chemical engineering exists at the interface of engineering, biological, and chemical sciences. This interdisciplinary field brings to bear fundamental design principles to both elucidate and modulate the function of biological systems, ranging in scale from molecular to cellular to whole organisms.

The bioengineer’s toolbox may include skills such as modeling, big data analysis, genetics, process design, biochemistry, and molecular, micro and cellular biology. By modeling, designing, engineering, and optimizing biological systems, bioengineers and biotechnologists are seeking to tackle key unmet needs in medicine, agriculture, industry, the environment, consumer markets, and more.

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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.

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.