How to Apply

Candidates apply through the Graduate School of Arts and Sciences.

Applications to the Master of Science and Master of Engineering in Computational Science and Engineering degree programs for entry in Fall 2020 will be available in September of 2019. The application deadline is December 15, 2019.

Questions about admissions? Write to iacsadmissions@seas.harvard.edu

Required Application Materials

  • Online application form, including SEAS Supplemental form

  • Statement of Purpose
  • Three letters of recommendation submitted electronically

  • Transcripts; please upload copies of all transcripts to the Academic Background section of the online application; unofficial copies are acceptable. 

  • C.V. or Resume

  • An official ETS GRE revised General Test score report. The school code to use to submit your GRE score is 3451. 

  • If required, an official TOEFL or IELTS score report. The school code to use to submit your TOEFL score is 3451.  *TOEFL or IELTS scores are required for applicants whose native language is other than English and who do not hold a Bachelor degree or its equivalent from an institution at which English is the language of instruction.  The score must be valid at the time of entry into the program.  Note that a masters degree from an English-speaking institution does not meet this requirement.   

  • The application fee of $105.00

  • Supplemental Data form (becomes available after application is submitted)

The GRE subject test is not required, but applicants are welcome to submit scores from a subject test if they wish to have it considered as part of their application.  Applicants should chose which subject test to take based on their own preparation and interests. The school code to use to submit your GRE subject score is 3451.

Admissions Criteria

  • IACS takes a holistic approach to admission, taking all relevant application materials into account. There are no GRE or GPA cutoffs.
  • We are looking for candidates who have demonstrated a capacity for advanced computational work by excelling in courses in math, computer science, statistics or scientific computing; exploring computational  or statistical approaches in undergraduate research; or through distinctive professional accomplishment.
  • There are no formal prerequisites for applicants to our master’s programs and students from any previous academic background are welcome to apply. However successful applicants do need to have sufficient background in Computer Science, Math, and Statistics - including fluency in at least one programming language and knowledge of calculus, linear algebra, and statistical inference.