The MS in Bioinformatics provides students who have undergraduate experience in molecular biology and genetics with formal computational training to complement their biological knowledge. No prior programming or bioinformatics experience is required. Our curriculum emphasizes applied bioinformatics skills used in biotechnology, healthcare, environmental science, and scientific research.
As a student in the program, you’ll take a core set of required courses that will provide you with foundational competence in data analysis, statistics, programming, and computational approaches to biological research. You’ll also gain experience analyzing DNA, RNA, protein, and multi-omics datasets. The program’s flexible elective pathways then allow you to customize your degree toward biomedical applications, computational biology and AI, or ecological/evolutionary informatics based on your interests and career goals. Courses available across Tufts’ Schools of Arts and Sciences, Engineering, Medicine, Nutrition, and Public Health enable a particularly broad menu of elective choices and a rich pool of potential mentors and research contexts.
You’ll gain experiential training with a required mentored capstone experience that will allow you to apply bioinformatics workflows to genuine research problems. Students can also opt to apply for our biology graduate co-op program. Tufts’ location in the Boston area provides direct access to a world-leading cluster of biotech and pharma companies, teaching hospitals, and research institutions for internships, co-ops, and employment.
GSAS bills tuition using a per-credit billing model, meaning you are billed for the number of credits you take each semester. This billing model is used to provide students better flexibility so they may "pay-as-they-go".
| Tuition* | $1,949 per credit |
| Total Credits Required | 30 |
| Enrollment Status | Part-Time: 3-6 credits (typically 1-2 courses) Full-Time: 9+ credits (typically 3 or more courses) |
This example pathway outlines estimated tuition costs per semester using a typical full-time course load. This is one possible pathway to completion; actual credits, costs, enrollment status, and degree completion time may vary based on a student’s course load.
| Full-Time Pathway | Fall | Spring | Total |
| Year 1 | 9 credits | 9 credits | 18 credits |
| $17,541 | $17,541 | $35,082 | |
| Year 2 | 6 credits | 6 credits | 12 credits |
| $11,694 | $11,694 | $23,388 | |
| Estimated Total Tuition Before Aid* | $58,470* | ||
Note: this example does not account for any scholarships that may be awarded at the time of admission. GSAS offers generous merit- and need-based tuition scholarships for qualified applicants. A list of funding opportunities is provided below.
*Estimated based on 2026-2027 tuition rates. Rates are subject to change each academic year. For further information about the full cost of attendance, including health insurance, fees, and estimated indirect costs (housing, transportation, etc.), visit Student Financial Services.
At Tufts University, we believe that every qualified applicant should have the opportunity to pursue graduate study, regardless of financial circumstances. We are committed to helping you navigate the financial aspects of your education and strive to make graduate school accessible through a variety of support options.
Visit our Graduate Financial Aid page for information on loans and financing options.
Research/Areas of Interest: Bioinformatics, Drug discovery & development
Research/Areas of Interest: Vaginal Microbiome Microbial Ecology and Evolution Phage-Bacteria Interactions Bacterial Immunity
Research/Areas of Interest: DNA repair, DNA damage tolerance, molecular biology, Drosophila genetics, aging, mutagenesis
Research/Areas of Interest: Research in the Rotjan lab focuses on marine ecology and global change. The main goal is to examine how marine species, communities, and ecosystems respond to the complex multitude of stressors emerging in the contemporary world ocean, and how they will respond to the future ocean change that we expect in the coming decades. In other words, we take a multi-level and systems ecology approach to examining global change. We are also big fans of ocean exploration, which is critical and necessary to set and calibrate ecological baselines. We are a part of a growing global movement to democratize the oceans, making marine science and exploration accessible and available to all. We apply our science and exploration to conservation. Our simple credo is to help make the world a better place. Our lab is interested in two complementary dimensions of contemporary marine ecology: (1) ecological response to changing ocean dynamics, and (2) opportunities for human-mediated action via conservation, restoration, and/or management. To learn more, check out our lab website and click through our research pages, publications, news, members, etc.
Research/Areas of Interest: Epigenetics, Aging, Cellular senescence, and Protein Regulation The Tran lab focuses on epigenetic regulation during cellular senescence and aging. To better understand epigenetics, imagine your DNA as a letters and epigenetics as punctuation in a sentence. As an example, we can use the following sentence: "I'm very hungry. Let's eat, grandma." Without changing any letters in the sentence (DNA) but the punctuation (epigenetics), we can dramatically change the interpretation of the sentence. "I'm very hungry! Let's eat grandma!" My overall research focuses on understanding how these punctuation changes, what mediates these changes, and how they contribute to aging and age-related disorders. Current research projects: • Elucidate the intersection between metabolism and epigenetics in cellular senescence and aging. • Understand how transcriptional regulators are spatially dysregulated during aging • Characterize the epigenetic changes during aging and age-related disorders. Please see my lab website for more information on research projects.
Research/Areas of Interest: My research interests fall under an umbrella of Ecological Systems and Dynamics and the specific subjects of my interest are usually underwater. I work primarily quantitatively and computationally towards understanding change over time in populations, communities, and trophic systems; studying how we affect change over time in these systems through restoration and human activities; and how we can accommodate change over time in management and ocean planning. I'm particularly interested in pushing the envelope of the tools we use to answer these questions as we go about answering them with especial focus on time-series analysis and spatio-temporal data science.
Research/Areas of Interest: computational molecular biology, data science, graph algorithms, network science, discrete mathematics
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