Read the latest updates on coronavirus from Harvard University. For SEAS specific-updates, please visit SEAS & FAS Division of Science: Coronavirus FAQs

Master's in Data Science

The Data Science master's program, jointly led by the Computer Science and Statistics faculties and administered through the Institute for Applied Computational Science (IACS), trains students in the rapidly growing field of data science. 

Data Science lies at the intersection of statistical methodology, computational science, and a wide range of application domains.  The program offers strong preparation in statistical modeling, machine learning, optimization, management and analysis of massive data sets, and data acquisition.  The program focuses on topics such as reproducible data analysis, collaborative problem solving, visualization and communication, and security and ethical issues that arise in data science.

To earn the Master of Science in Data Science, students must complete 12 courses. This requires students to be on campus for at least 3 semesters (one and a half academic years). Some students will choose to extend their studies for a fourth semester to take additional courses or complete a master’s thesis research project.

SEAS hosts in-person information sessions every Fall for students interested in the Data Science master's program (as well as the Computational Science and Engineering and MS/MBA programs).

Information sessions are held on a walk-in basis; no registration is necessary. Members of our admissions team will be on hand to answer questions about the degree programs and the application process. All 2019 information sessions will be held from 10:00 - 11:00 AM at 29 Oxford Street, Cambridge MA in Pierce Hall room 213 (Brooks Room)*:

     Tuesday, September 17

     Tuesday, October 8

     Tuesday, October 22

     Tuesday, November 12 - UPDATED LOCATION: this session will take place in Maxwell Dworkin room 221, 33 Oxford Street 

     Tuesday, December 3

*Please check back before traveling to campus; dates and times are subject to change.