The Certificate in Data Analytics provides an avenue for individuals who wish to earn a credential in data analytics, but who may not yet be ready to commit to a full master's program. As a student in the program, you'll learn the skills needed to gather, interpret, and guide data-driven decisions.
Students who complete this four-course certificate program may decide to continue on and apply to the MS in Data Analytics. If accepted into the master's program, the credits earned toward the completion of the certificate will be counted toward the master's program.
Data analytics is a fast-growing field and often the key to business strategy and the solution to complex questions. Data analysts are sought after in nearly every field.
Please include courses and grades for the prerequisites of Calculus II, Statistics, and Computer Programming on the provided space in the application.
See Tuition and Financial Aid information for GSAS Programs. Note: This program is not eligible for federal loans or Tufts tuition scholarships.
The interdisciplinary Data Analytics Program is guided by an advisory board of professionals in the field, who help ensure the program provides rigorous courses in the analytical skills that are sought after across the arts, humanities, and sciences as well as within the business community.
Research/Areas of Interest: Storytelling with Data through interactive dashboards & Experiential Learning. Project-based curriculum in DA & DS for Public High Schools. Women in STEM. .
Research/Areas of Interest: Greek religion, Greek epigraphy, Medieval Latin, Digital Humanities
Research/Areas of Interest: Animal Cognition and Learning
Research/Areas of Interest: Labor economics, public health, nursing
Research/Areas of Interest: Categorical data analysis, survival data analysis, longitudinal data analysis, latent variable analysis, smoking behavior, substance abuse, major depression, disparity in financial access
Research/Areas of Interest: Urban Analytics; Big Data Analytics; Urban Planning and Science; Spatial Data Science; Urban mobility;
Research/Areas of Interest: Machine learning, harmonic analysis, statistical learning, graph theory, data science, computational mathematics, image processing, signal processing
Research/Areas of Interest: Applied Urban, Housing, Education, Environmental, and Labor economics.
Research/Areas of Interest: machine learning; natural language processing; audio signal processing; data analytics