The MS in Biophotonics at Tufts School of Engineering provides a broad curriculum that encompasses the design, engineering, and use of optical tools for diagnostics and therapeutics, advanced microscopes, and more.
The program is administered by the Department of Biomedical Engineering with additional support from the Department of Electrical and Computer Engineering and the Data Intensive Studies Center.
Students in the MS in Biophotonics program experience an academic career distinguished by close faculty interactions that will propel you from graduate study to your future. Choose between a thesis track or a course-based track which includes a hands-on project or internship. Courses provide background on optical spectroscopy and imaging methods, photonic devices and sensors, as well as related analysis approaches, including machine learning based methods.
Master's degrees at Tufts School of Engineering require 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-.
The labor market for master’s-level biophotonics professionals is large and has seen strong growth over the last 5 years. The MS in Biophotonics provides a strong set of skills, preparing students to pursue industry careers or future graduate study that require an understanding of light and tissue interactions and focus on the development and use of new bio- or nano- photonic technologies to advance biomedical and biopharmaceutical products.
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.
Research/Areas of Interest: label-free high resolution tissue imaging, non-linear microscopy, metabolic imaging, matrix characterization, in vivo flow cytometry, cancer detection, osteoarthritis, neurodegenerative diseases
Research/Areas of Interest: Biomedical optics, diffuse optical imaging, functional near-infrared spectroscopy, quantitative tissue oximetry.
Research/Areas of Interest: ultrafast nonlinear optics, nanophotonics, biopolymer multifunctional materials, material science, photonic crystals, photonic crystal fibers
Research/Areas of Interest: Ultrasound imaging, photoacoustic imaging, multi-modality imaging, image-guided surgery and therapeutics, nano drug delivery systems
Research/Areas of Interest: Signal and image processing, tomographic image formation and object characterization, inverse problems, regularization, statistical signal and imaging processing, and computational physical modeling. Applications explored include medical imaging and image analysis, environmental monitoring and remediation, landmine and unexploded ordnance remediation, and automatic target detection and classification.
Research/Areas of Interest: nanophotonics, optical beam shaping, neuroengineering, chip-scale imaging and microscopy, quantum information systems Research Website: https://sites.tufts.edu/amohanty/
Research/Areas of Interest: Signal processing; image processing; simulation modeling
Research/Areas of Interest: computational sciences, data driven modeling
Research/Areas of Interest: Biological Physics, Condensed Matter Physics, Quantum Mechanics My research interests cover a broad array of topics in biological physics, condensed matter physics and quantum mechanics. In biological physics our group is performing both experimental and theoretical work to uncover fundamental physical principles that underlie the formation of functional neuronal networks among neurons in the brain. One of the primary challenges in science today is to figure out how as many as 100 billion neurons are produced, grow, and organize themselves into the truly wonderful information-processing machine which is the brain. We combine high-resolution imaging techniques such as atomic force, traction force and fluorescence microscopy to measure mechanical properties of neurons and to correlate these properties with internal components of the cell. Our group is also using mathematical modeling based on stochastic differential equations and the theory of dynamical systems to predict axonal growth and the formation of neuronal networks. The aim of this work is twofold. On the one hand we are using tools and concepts from experimental and theoretical physics to understand biological processes. On the other hand, active biological processes in neuronal cells exhibit a wealth of fascinating phenomena such as feedback control, pattern formation, collective behavior, and non equilibrium dynamics, and thus the insights learned from studying these biological systems broaden the intellectual range of physics. I am also interested in the foundations of quantum mechanics, particularly in decoherence phenomena and in applying the theory of stochastic processes to open quantum systems. My interests in condensed matter physics include quantum transport in nanoscale systems (carbon nanotubes, graphene, polymer composites, hybrid nanostructures), as well as scanning probe microscopy investigations of novel biomaterials.