The Data Science master's program, jointly led by the Computer Science and Statistics faculties, trains students in the rapidly growing field of data science. Data Science lies at the intersection of statistical …

Oct 8, 2025 · The submission portal is now closed for applications to the Data Science and Computational Science and Engineering (CSE) programs for entry in Fall 2026. Out of fairness to all …

Master's in CSE @ Harvard SEAS. Solve complex challenges! Master data analysis, modeling & simulation.

This course examines the wide-ranging impact data science has on the world and how to think critically about issues of fairness, privacy, ethics, and bias while building algorithms and predictive models …

Harvard's Data Science Master's program at the School of Engineering and Applied Sciences (SEAS) focuses on what we've highlighted thus far—the interdisciplinary nature of data science.

What careers do the Master's of Data Science graduates pursue after graduation? Upon graduation, many of our alumni go directly into jobs, while others pursue additional graduate studies. In either …

She completed her MSc from the University of Cambridge as a Marshall Scholar, her PhD from MIT, and her postdoc at Harvard Medical School. Her interests lie at the intersection of machine learning, …

People Master's in Data Science Leadership Faculty Director, Master's in Data Science Program and Co-Chair, FAS Standing Committee on Higher Degrees in Data Science Assistant Director of …

Observational data of student and instructor experiences with DEFT were collected. Interviews and post-class surveys with students and instructors provided data triangulation. The results of this research …

In today’s talk, we will first discuss how Bayesian nonparametric (BNP) models can be used to find hidden patterns in data. BNPs return latent variable models that, following De Finetti’s Theorem, find …