FINANCING YOUR MASTER’S DEGREE in
Data Science or Computational Science and Engineering
At Harvard IACS, students typically finance their master’s degree program with a combination of loans, savings, family support, grants (from governments, foundations and companies), fellowships and scholarships. We recommend you visit the Harvard Graduate School of Arts and Sciences (GSAS) Funding and Financial Aid website prior to your application to learn more about your options.
Once you have been accepted into the Data Science or Computational Science and Engineering master's degree program, you will become eligible for additional funding:
Approximately 15% of our students are paid Teaching Fellows, usually in the second year, but sometimes in the first year, based on experience. Teaching compensation is paid out at Harvard graduate student rates.
IACS awards scholarships from an anonymous donor's gift and from funds raised from contributions and registrations collected at the Institute's annual ComputeFest workshops. These awards are currently primarily distributed to students to fund part of the research year doing a master’s thesis. Awards have typically ranged from $5000 to $20,000. Applications for these scholarships open in the Spring semester.
IACS is currently working with others at Harvard, and externally, to improve financial aid options for incoming students, including students from under-represented populations. We recommend that you check this page frequently for more information as we are updating this page and our resources regularly.
If you’d like to be notified about additional changes or funding opportunities, please sign up here and we will send you alerts.
In 2021, Amazon Robotics fully funded two students each at master's programs at Stanford University, MIT, and Harvard University from under-represented backgrounds as part of a broad effort to support STEM education and encourage careers in science and engineering. This fellowship opportunity will be available again in 2022, and students who are accepted to the data science or computational science and engineering degree programs will be eligible to apply for a Day One fellowship upon acceptance. For more information, contact Erin Erhart, IACS Manager for student engagement and programs.
Other EXTERNAL FUNDING
Here below are some additional specific opportunities from external funders that our Graduate Advisory Committee (student-run) has identified. Please check for deadlines; some are as early as December.
- ACM SIGHP Computational and Data Science Fellowships (note: only 1 student can be nominated by IACS each year; please contact Daniel Weinstock, Associate Director of Graduate Studies, for more information)
- Generation Google Scholarship
- Google Lime Scholarship
- Adobe Women-in-Technology Scholarship