Master's in 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). Registration for these sessions is available on the Admissions Events page for prospective graduate students.
Wednesday, October 11, 2023 10:00 AM eastern time
Friday, October 27, 2023 10:00 AM eastern time
(The October 27th session will feature a moderated discussion with current CSE and Data Science master's students discussing their experiences.)
Tuesday, November 14, 2023 10:00 AM eastern time
Watch a recording from 2022 here.