The Master of Science in Biophotonics at Tufts University School of Engineering is a 30-credit, on-campus graduate program focused on the design, engineering, and use of optical tools for biomedical and biopharmaceutical applications. Students study how light interacts with biological tissue and how optical technologies can support advances in diagnostics, therapeutics, imaging, sensing, and nanophotonic systems.
Administered by the Department of Biomedical Engineering, the program includes additional support from the Department of Electrical and Computer Engineering. Students may complete the degree through a thesis track or a course-based track that includes a hands-on project or internship.
The M.S. in Biophotonics is designed for students who want to apply engineering, optics, imaging, and data-driven methods to challenges in human health. The program may be a strong fit for students with backgrounds in biomedical engineering, electrical engineering, physics, optics, applied science, or related fields.
Students may use the program to prepare for industry roles in biomedical technology, medical imaging, optical instrumentation, sensors, diagnostics, therapeutics, or biopharmaceutical product development. It can also support preparation for doctoral study or research-focused work in photonics, biomedical optics, imaging, or related areas.
Students in the M.S. in Biophotonics build technical knowledge in optical tools and biomedical applications. Students may choose between a thesis track and a course-based track. The course-based track includes a hands-on project or internship, giving students an opportunity to apply biophotonics concepts to practical engineering and research challenges.
Coursework and experiential learning may cover topics such as:
The M.S. in Biophotonics is administered by the Department of Biomedical Engineering at Tufts University School of Engineering. The department supports research and education focused on improving human health through engineering, science, and technology.
Biophotonics students benefit from connections across Biomedical Engineering, Electrical and Computer Engineering, and data-intensive research at Tufts. Faculty expertise related to the program includes biomedical optics, diffuse optical imaging, functional near-infrared spectroscopy, quantitative tissue oximetry, photoacoustic imaging, nanophotonics, image processing, signal processing, optical beam shaping, microscopy, and data-driven modeling.
Biophotonics sits at the intersection of biomedical engineering, optics, electrical engineering, data science, and health technology. At Tufts, students can build knowledge across these areas while focusing on optical tools that address biomedical challenges.
Students learn from faculty whose expertise spans biomedical optics, imaging, nanophotonics, signal processing, sensors, microscopy, and data-driven modeling. Close faculty interaction helps students connect graduate coursework with research interests, project work, and professional goals.
The program offers both thesis and course-based pathways. Students who choose the course-based track complete a hands-on project or internship, while thesis students pursue a research-focused experience that can support preparation for doctoral study or technical research roles.
Tufts’ biophotonics curriculum emphasizes the use of optical technologies to improve diagnostics, therapeutics, imaging, and biomedical product development. Students gain knowledge that can be applied to problems in medicine, biotechnology, and biopharmaceutical innovation.
Graduates of the M.S. in Biophotonics may pursue technical, research, or product-focused roles in areas such as biomedical optics, medical imaging, optical instrumentation, photonic sensors, microscopy, diagnostics, therapeutics, and biomedical or biopharmaceutical technology. Career outcomes vary based on a student’s background, track, technical experience, internship or research experience, and professional goals.
Possible career paths may include:
Biophotonics skills are relevant across fields that connect biomedical engineering, optics, imaging, photonics, and medical technology.
According to the U.S. Bureau of Labor Statistics, bioengineers and biomedical engineers had a median annual wage of $106,950 in May 2024. Employment in this occupation is projected to grow 5 percent from 2024 to 2034, faster than the average for all occupations.
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. The listed salary is for the broad field of Biomedical Engineering. Biophotonics salaries may differ.
Students in the School of Engineering may have the opportunity to participate in the Graduate Cooperative Education Program. The co-op program allows graduate students to apply classroom learning to real-world engineering projects, gain up to six months of full-time work experience, build their resumes, and strengthen their preparation for post-graduation employment.
Students in the course-based track complete a hands-on project or internship, which provides an applied learning experience connected to biophotonics practice.
The School of Engineering offers partial tuition scholarships for a select group of Engineering master’s and certificate programs. When you apply for admission, you’ll automatically be considered, there’s no separate scholarship application or additional information required. Applicants are encouraged to apply early for priority scholarship consideration.
No. GRE General Test scores are not required.
Yes. Prospective students may attend admissions events, information sessions, or campus visit opportunities to learn more about Tufts graduate programs and the application process. Visit go.tufts.edu/gradevents for the event schedule and previously recorded videos.
Applicants can apply online through Tufts Graduate Admissions Portal. Required materials typically include transcripts, a resume or CV, letters of recommendation, and a statement of purpose. International applicants may also need to submit English proficiency documentation. Visit the admissions page for current deadlines and application requirements.
At Tufts University, we believe every qualified applicant deserves the opportunity to pursue graduate study. We are dedicated to helping you understand your financial options and to ensuring that graduate education at Tufts is both accessible and within reach.
Tuition costs for this graduate program are billed at a per credit rate:
| Estimated Tuition for MS Program | |
|---|---|
| Tuition* | $1,799 per credit |
| Total Credits Required | 30 |
| Enrollment Status | Full-Time: 3-4 courses per semester (9-12 credits) Part-Time: 1-2 courses per semester (3-6 credits) |
| Estimated Tuition per Semester | Full-Time: $16,191 - $21,588 per semester (9-12 credits) Part-Time: $5,397 - $10,794 per semester (3-6 credits) |
| Estimated Total Tuition* | $53,970 |
*Estimated based on 2025-2026 tuition rates. Rates are subject to change each academic year. For further information about the full cost of attendance, including additional fees and estimated indirect costs (housing, transportation, etc.), please visit Student Financial Services.
The Tufts University School of Engineering offers partial, merit-based tuition scholarships for the majority of our graduate and certificate programs. All applicants are automatically considered for these awards as part of our holistic admissions review process—no separate scholarship application or additional materials are required.
Additional funding opportunities may include Tufts Double Jumbo Scholarships for Tufts graduates, Bridge Program Scholarships for students and alumni from select partner institutions, and veteran and military education benefits for eligible service members and their dependents, including participation in the Yellow Ribbon Program.
To further support your investment in a Tufts graduate education, a range of financing options are available, including federal and private student loans. For more details, please visit our Graduate Financial Aid page.
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: Statistical- and physics-based signal and image modeling and processing, tomographic image formation and object characterization, and inverse problems. Applications explored include human performance assessment, materials science, airport security, medical imaging, environmental monitoring and remediation, 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.