The Bioengineering program provides a broad engineering and biotechnology curriculum while offering a focus on a specific engineering track that best fits students' interests and career choices.
Choose between six tracks ranging from the study of tissue engineering and biological delivery to the development, control, and characterization of biological processes for water treatment and environmental restoration.
The program features two components: an interdisciplinary core curriculum, including one class outside of students' chosen sub-specialty to increase the breadth of bioengineering knowledge; and courses required by the department for students' chosen track.
The degree requires a minimum of 30 credits and the fulfillment of at least 10 courses at the 100-level or above with grades of S (satisfactory) or at least a B-.
Tracks include:
The School of Engineering's Graduate Cooperative Education (Co-Op) Program provides students with the opportunity to apply the theoretical principles they have learned in their coursework to real-world engineering projects. Gain up to six months of full-time work experience, build your resume, and develop a competitive advantage for post-graduation employment. Learn more about the Co-Op Program.
The Bioengineering master's program provides a broad engineering and biotechnology curriculum, while offering a focus on a specific engineering track that best fits students' interests and career choices. This combination of depth and breadth gives our bioengineering graduates professional flexibility, a distinct competitive advantage in the ever-changing field of bioengineering.
We recognize that attending graduate school involves a significant financial investment. Our team is here to answer your questions about tuition rates and scholarship opportunities.
Please contact us at gradadmissions@tufts.edu.
Average Salary: $100K+
Projected Job Growth (2022-2032): 5%
*Sources: Average salary and projected job growth statistics are from the U.S. Bureau of Labor Statistics Occupational Outlook Handbook.
Research/Areas of Interest: synthetic biology, systems bioengineering, protein engineering, metabolic engineering, biofuels, biocatalysis
Research/Areas of Interest: data science, statistical signal processing, inverse problems, compressed sensing, information theory, convex optimization, machine learning, algorithms for geophysical signal processing, compressed sensing architectures and evaluation, video and image data acquisition and processing
Research/Areas of Interest: biomechanics, applied mechanics, materials characterization, engineering education
Research/Areas of Interest: Ultrasound imaging, photoacoustic imaging, multi-modality imaging, image-guided surgery and therapeutics, nano drug delivery systems
Research/Areas of Interest: multiphase flow and transport in porous media, liquid-liquid and solid-liquid equilibria, sols and emulsions, surfactants and interfaces, mass transfer, biotransformation, emerging contaminants
Research/Areas of Interest: data science, algorithms for analysis of biological networks, gene and pathway regulation in human development, algorithms for precision medicine, computational approaches to pharmacogenomics and drug discovery or repositioning