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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 will be hosting virtual information sessions this Fall for students interested in the Computational Science and Engineering master's program (as well as the Data Science and MS/MBA programs).

    Wednesday, October 13 10:00 AM eastern time | Click here to register.

    Friday, October 29 10:00 AM eastern time | Click here to register.

    Tuesday, November 16 10:00 AM eastern time | Click here to register.

(Jointly cohosted by IACS and the SEAS Office of Diversity Inclusion and Belonging, the November 16 session is targeted at women and minorities who are under- represented in applied computation. The program features a moderated discussion with current IACS master's students discussing their experiences.)

For previous information sessions in Fall 2020, go here and here.