Admissions Requirements

Applications are evaluated holistically on a combination of prior academic performance, work experience, essays, letters of recommendation, and goals that are a good fit for the program. The UC Berkeley School of Information seeks students with the academic abilities to meet the demands of a rigorous graduate program. To be eligible for the Online Master of Information and Data Science program, you must meet the following requirements:

A bachelor's degree

You should have a superior scholastic record — normally well above a 3.0 GPA. The recognized equivalent to a bachelor's degree is also accepted, if earned from an accredited institution.

Many schools issue transcripts electronically, either through their own web services or through vendors. If this option is available through the institutions you attended, please specify that your transcript(s) be sent to as this will expedite the delivery of your transcript(s) and the completion of your application.

If you would like your transcripts to be sent by mail, please use the following address:

UC Berkeley School of Information (I School)
Application Processing Center
PO Box 30096 018-001
College Station, TX 77842

Please note: To be considered an official transcript, the transcript must be sent directly from your institution(s) or through an electronic transcript vendor retained by that institution. Transcripts submitted by enrolled or prospective students are considered unofficial documents, even if they are in a sealed envelope provided to you by the issuing university.

A high level of quantitative ability

This should be demonstrated by at least one of the following qualifications:

  • Work experience that demonstrates your quantitative abilities
  • Academic coursework that demonstrates quantitative aptitude

A problem-solving mindset

A high level of analytical reasoning ability and a problem-solving mindset as demonstrated in academic and/or professional performance.

A working knowledge of fundamental concepts

This includes knowledge of data structures, algorithms and analysis of algorithms, and linear algebra. Applicants who lack this experience in their academic or work background but meet all other requirements for admission will be asked to complete a bridge course before enrolling in the Applied Machine Learning course. Applicants may also consider enrolling in third party courses to expand their knowledge of math and programming.

The ability to communicate effectively

This should be demonstrated by at least one of the following qualifications:

  • Academic performance
  • Professional experience
  • Strong essays that demonstrate effective communication skills

Programming proficiency

Proficiency in programming languages, such as Python or Java, should be demonstrated by prior work experience or advanced coursework. Applicants who lack this experience in their academic or work background but meet all other admission requirements will be required to take the Introduction to Data Science Programming course in their first term.

Contact an Admissions Counselor today with any questions at 855-918-2299, or fill out a brief form to learn more about the Master of Information and Data Science.

Test scores

Test Codes

Test Codes
Test Code/Dept Valid For
GRE 1634/0404 5 years
GMAT N2V-Q0-28 5 years
TOEFL 4833/99 18 months
IELTS TRF 1 18 months
1 Test Report Form must be sent directly from IELTS Return to footnote reference

Test Score Deadlines

Test Score Deadlines
Cohort Date
September 2019 May 21, 2019
January 2020 October 1, 2019
May 2020 January 28, 2020
September 2020 May 19, 2020

For any questions, please download and read our FAQ (PDF, 221kb).